The nameBy analogy to unicorn companies (startups with a valuation of US$1 billion or more), Unicorn Papers represent the most highly cited publications (one per ten thousand, ‱) describing the most important scientific discoveries.
What EC stands for?EC stands for "equal contribution" (a model in which all authors are considered to have made an equal contribution to the work). In this model, citations (or any other metric) are divided by the number of authors to reflect this equal contribution. Alternatively, you can see the contribution matrix in the raw format.
Why should we care how many authors did the work?The number of authors listed on papers has significantly increased over the years, doubling in the last 20 years (see Fig. 2 and Fig. 3 here). In addition, an increasing number of papers have large numbers of authors, often counted in the hundreds or even thousands (Fig. 3). These collaborative papers typically describe multi-billion dollar projects and are likely to be highly cited, as they are widely used by the community in a given field. On the other hand, breakthrough ideas and discoveries at their earliest stages are usually the work of a single person or small group of people, but as the ideas are further developed and brought to a production level, they become the focus of a larger group of people. In the field of science, it is common for a single "golden" experiment or observation that lead to numerous new studies and developments. Unicorn Papers seek to identify these initial discoveries and the individuals or small groups responsible for them.
Screening for consortia papersThe list is screened manually against errors in the authors lists (e.g. missing authors, consortium, group omissions, etc.), but if you spot the error (e.g. PUBMED did not include all authors in given PMID) please send us the information about it (Contact).
Unicorn Papers vs. years
Top 50 journals
1. 214 (6.28) Nature 2. 210 (6.17) Science 3. 127 (3.73) Cell 4. 104 (3.05) N Engl J Med 5. 67 (1.97) Proc Natl Acad Sci U S A 6. 58 (1.70) Nat Rev Cancer 7. 50 (1.47) Nucleic Acids Res 8. 49 (1.44) Annu Rev Biochem 9. 48 (1.41) J Biol Chem 10. 48 (1.41) Lancet 11. 48 (1.41) Physiol Rev 12. 47 (1.38) J Mol Biol 13. 45 (1.32) Nat Rev Mol Cell Biol 14. 44 (1.29) Bioinformatics 15. 43 (1.26) Anal Biochem 16. 32 (0.94) Biochem J 17. 32 (0.94) Chem Rev 18. 31 (0.91) Annu Rev Immunol 19. 30 (0.88) Nat Rev Immunol 20. 29 (0.85) Methods Enzymol 21. 29 (0.85) Nat Rev Neurosci 22. 27 (0.79) Nat Rev Genet 23. 25 (0.73) Genes Dev 24. 23 (0.68) Mol Biol Evol 25. 22 (0.65) Annu Rev Neurosci 26. 21 (0.62) JAMA 27. 20 (0.59) J Cell Biol 28. 20 (0.59) Psychol Bull 29. 20 (0.59) Acta Crystallogr D Biol Crystallogr 30. 20 (0.59) Nat Med 31. 20 (0.59) J Clin Invest 32. 19 (0.56) Genetics 33. 18 (0.53) CA Cancer J Clin 34. 17 (0.50) BMJ 35. 16 (0.47) Pharmacol Rev 36. 16 (0.47) Neuron 37. 15 (0.44) Nat Rev Drug Discov 38. 14 (0.41) Neuroimage 39. 14 (0.41) Biochemistry 40. 14 (0.41) Gene 41. 14 (0.41) Nat Biotechnol 42. 14 (0.41) Clin Microbiol Rev 43. 13 (0.38) Nat Methods 44. 13 (0.38) Arch Gen Psychiatry 45. 13 (0.38) Trends Cogn Sci 46. 13 (0.38) Biochim Biophys Acta 47. 13 (0.38) Annu Rev Cell Dev Biol 48. 12 (0.35) Biometrics 49. 12 (0.35) Psychol Rev 50. 12 (0.35) Genome Res
The oldest Unicorn Papers
No. | Citations | ECcit | RCR | ECRCR | Title | Authors | Journal | Year | PMID | Article(?) |
---|---|---|---|---|---|---|---|---|---|---|
2688 | 962 | 962.0 | 0.0 | 0.0 | On the Absorption of Fluids from the Connective Tissue Spaces. | E H Starling | J Physiol | 1896 | 16992325 | Yes |
315 | 3159 | 3159.0 | 0.0 | 0.0 | Evolution in Mendelian Populations. | S Wright | Genetics | 1931 | 17246615 | Yes |
3352 | 851 | 851.0 | 0.0 | 0.0 | The colorimetric determination of phosphorus. | E J King | Biochem J | 1932 | 16744823 | Yes |
1539 | 1292 | 1292.0 | 0.0 | 0.0 | THE ESTIMATION OF PEPSIN, TRYPSIN, PAPAIN, AND CATHEPSIN WITH HEMOGLOBIN. | M L Anson | J Gen Physiol | 1938 | 19873094 | Yes |
2417 | 1017 | 1017.0 | 0.0 | 0.0 | The estimation of phosphorus. | R J Allen | Biochem J | 1940 | 16747230 | Yes |
The youngest Unicorn Papers
No. | Citations | ECcit | RCR | ECRCR | Title | Authors | Journal | Year | PMID | Article(?) |
---|---|---|---|---|---|---|---|---|---|---|
1333 | 4164 | 1388.0 | 1616.14 | 538.7 | Cancer statistics, 2020. | Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal | CA Cancer J Clin | 2020 | 31912902 | Yes |
415 | 5473 | 2736.5 | 2218.71 | 1109.4 | Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. | Zunyou Wu, Jennifer M McGoogan | JAMA | 2020 | 32091533 | Yes |
406 | 8287 | 2762.3 | 1695.74 | 565.2 | Cancer statistics, 2019. | Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal | CA Cancer J Clin | 2019 | 30620402 | Yes |
3093 | 889 | 889.0 | 81.5 | 81.5 | Metazoan MicroRNAs. | David P Bartel | Cell | 2018 | 29570994 | No |
2461 | 5044 | 1008.8 | 735.31 | 147.1 | MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. | Sudhir Kumar, Glen Stecher, Michael Li, Christina Knyaz, Koichiro Tamura | Mol Biol Evol | 2018 | 29722887 | Yes |
Unicorn Papers button
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where 12471243 is a desired PMID and vol9 is a given volume
If you want calculate the citations, ECcit, RCR, ECRCR and much more for individual researchers you may want to check: