David M. McCandlish

2.6k total citations
43 papers, 1.1k citations indexed

About

David M. McCandlish is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, David M. McCandlish has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 26 papers in Molecular Biology and 8 papers in Sociology and Political Science. Recurrent topics in David M. McCandlish's work include Evolution and Genetic Dynamics (26 papers), Genetic diversity and population structure (9 papers) and RNA and protein synthesis mechanisms (9 papers). David M. McCandlish is often cited by papers focused on Evolution and Genetic Dynamics (26 papers), Genetic diversity and population structure (9 papers) and RNA and protein synthesis mechanisms (9 papers). David M. McCandlish collaborates with scholars based in United States, Switzerland and Taiwan. David M. McCandlish's co-authors include Joshua B. Plotkin, Arlin Stoltzfus, Justin B. Kinney, Premal Shah, Jakub Otwinowski, Michael Tolstorukov, Victor B. Zhurkin, Wilma K. Olson, Andrew V. Colasanti and Joshua L. Payne and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. McCandlish

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David M. McCandlish United States 17 765 589 129 80 58 43 1.1k
Sandeep Venkataram United States 10 461 0.6× 411 0.7× 114 0.9× 115 1.4× 41 0.7× 13 651
Laurence Loewe United Kingdom 15 452 0.6× 650 1.1× 90 0.7× 144 1.8× 129 2.2× 27 995
Joshua L. Cherry United States 16 549 0.7× 363 0.6× 74 0.6× 63 0.8× 60 1.0× 35 961
Rutger Hermsen Netherlands 15 528 0.7× 399 0.7× 91 0.7× 35 0.4× 53 0.9× 22 827
Seungsoo Kim United States 11 874 1.1× 336 0.6× 54 0.4× 134 1.7× 48 0.8× 17 1.2k
C. Scott Wylie United States 8 309 0.4× 388 0.7× 126 1.0× 40 0.5× 70 1.2× 9 516
John S. Chuang United States 12 1.1k 1.4× 231 0.4× 191 1.5× 259 3.2× 49 0.8× 16 1.4k
Alex N. Nguyen Ba Canada 20 1.4k 1.8× 404 0.7× 71 0.6× 401 5.0× 31 0.5× 31 1.8k
Hyun Youk United States 12 494 0.6× 398 0.7× 348 2.7× 43 0.5× 100 1.7× 18 984
Carsten Kemena Germany 12 658 0.9× 371 0.6× 23 0.2× 134 1.7× 11 0.2× 20 963

Countries citing papers authored by David M. McCandlish

Since Specialization
Citations

This map shows the geographic impact of David M. McCandlish's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David M. McCandlish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. McCandlish more than expected).

Fields of papers citing papers by David M. McCandlish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. McCandlish. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David M. McCandlish. The network helps show where David M. McCandlish may publish in the future.

Co-authorship network of co-authors of David M. McCandlish

This figure shows the co-authorship network connecting the top 25 collaborators of David M. McCandlish. A scholar is included among the top collaborators of David M. McCandlish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. McCandlish. David M. McCandlish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Martí‐Gómez, Carlos, et al.. (2026). Inference and Visualization of Complex Genotype–Phenotype Maps. Molecular Biology and Evolution. 43(2).
2.
Posfai, Anna, et al.. (2025). Gauge fixing for sequence-function relationships. PLoS Computational Biology. 21(3). e1012818–e1012818. 2 indexed citations
3.
4.
Zebell, Sophia G., Carlos Martí‐Gómez, B. P. Fitzgerald, et al.. (2025). Cryptic variation fuels plant phenotypic change through hierarchical epistasis. Nature. 644(8078). 984–992. 1 indexed citations
5.
Ishigami, Yuma, Mandy S. Wong, Carlos Martí‐Gómez, et al.. (2024). Specificity, synergy, and mechanisms of splice-modifying drugs. Nature Communications. 15(1). 1880–1880. 17 indexed citations
6.
Chen, Wei-Chia, et al.. (2024). Density estimation for ordinal biological sequences and its applications. Physical review. E. 110(4). 44408–44408. 2 indexed citations
7.
Martí‐Gómez, Carlos, et al.. (2024). Robust genetic codes enhance protein evolvability. PLoS Biology. 22(5). e3002594–e3002594. 5 indexed citations
8.
Weinstein, Jonathan J., Carlos Martí‐Gómez, Rosalie Lipsh‐Sokolik, et al.. (2023). Designed active-site library reveals thousands of functional GFP variants. Nature Communications. 14(1). 2890–2890. 16 indexed citations
9.
Hendelman, Anat, et al.. (2023). Idiosyncratic and dose-dependent epistasis drives variation in tomato fruit size. Science. 382(6668). 315–320. 27 indexed citations
10.
Stoltzfus, Arlin, et al.. (2023). Mutation bias and the predictability of evolution. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1877). 20220055–20220055. 15 indexed citations
11.
Wong, Mandy S., et al.. (2022). Higher-order epistasis and phenotypic prediction. Proceedings of the National Academy of Sciences. 119(39). e2204233119–e2204233119. 23 indexed citations
12.
Stoltzfus, Arlin, et al.. (2022). Mutation bias shapes the spectrum of adaptive substitutions. Proceedings of the National Academy of Sciences. 119(7). 28 indexed citations
13.
Storz, Jay F., Chandrasekhar Natarajan, Anthony V. Signore, et al.. (2019). The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1777). 20180238–20180238. 32 indexed citations
14.
Kinney, Justin B. & David M. McCandlish. (2019). Massively Parallel Assays and Quantitative Sequence–Function Relationships. Annual Review of Genomics and Human Genetics. 20(1). 99–127. 95 indexed citations
15.
Otwinowski, Jakub, David M. McCandlish, & Joshua B. Plotkin. (2018). Inferring the shape of global epistasis. Proceedings of the National Academy of Sciences. 115(32). E7550–E7558. 123 indexed citations
16.
McCandlish, David M.. (2018). Long-term evolution on complex fitness landscapes when mutation is weak. Heredity. 121(5). 449–465. 9 indexed citations
17.
McCandlish, David M., Premal Shah, & Joshua B. Plotkin. (2016). Epistasis and the Dynamics of Reversion in Molecular Evolution. Genetics. 203(3). 1335–1351. 32 indexed citations
18.
McCandlish, David M., Charles L. Epstein, & Joshua B. Plotkin. (2016). Formal properties of the probability of fixation: identities, inequalities and approximations. 16 indexed citations
19.
McCandlish, David M., Jakub Otwinowski, & Joshua B. Plotkin. (2014). On the role of epistasis in adaptation. arXiv (Cornell University). 2 indexed citations
20.
McCandlish, David M.. (2013). ON THE FINDABILITY OF GENOTYPES. Evolution. 67(9). 2592–2603. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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