Gregory I. Lang

2.4k total citations · 1 hit paper
24 papers, 1.5k citations indexed

About

Gregory I. Lang is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Gregory I. Lang has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Genetics and 5 papers in Sociology and Political Science. Recurrent topics in Gregory I. Lang's work include Evolution and Genetic Dynamics (17 papers), Fungal and yeast genetics research (13 papers) and DNA Repair Mechanisms (5 papers). Gregory I. Lang is often cited by papers focused on Evolution and Genetic Dynamics (17 papers), Fungal and yeast genetics research (13 papers) and DNA Repair Mechanisms (5 papers). Gregory I. Lang collaborates with scholars based in United States, Italy and South Korea. Gregory I. Lang's co-authors include Andrew W. Murray, David Botstein, Michael M. Desai, Daniel P. Rice, Erica Sodergren, George M. Weinstock, Mark J. Hickman, Sean W. Buskirk, Kaitlin J. Fisher and Lance Parsons and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Gregory I. Lang

23 papers receiving 1.4k citations

Hit Papers

Pervasive genetic hitchhiking and clonal interference in ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory I. Lang United States 14 1.0k 895 224 219 110 24 1.5k
Daniel P. Rice United States 11 690 0.7× 898 1.0× 139 0.6× 246 1.1× 33 0.3× 17 1.2k
Daniel J. Kvitek United States 9 543 0.5× 375 0.4× 181 0.8× 94 0.4× 13 0.1× 10 770
Laurence Loewe United Kingdom 15 452 0.4× 650 0.7× 144 0.6× 90 0.4× 19 0.2× 27 995
Naomi Ziv United States 11 492 0.5× 191 0.2× 100 0.4× 29 0.1× 15 0.1× 16 789
Richard Sucgang United States 12 434 0.4× 165 0.2× 62 0.3× 107 0.5× 18 0.2× 22 828
Hattie Chung United States 6 624 0.6× 224 0.3× 72 0.3× 25 0.1× 26 0.2× 7 867
Cécile Fairhead France 27 1.5k 1.5× 256 0.3× 509 2.3× 14 0.1× 24 0.2× 46 2.0k
David Alvarez‐Ponce United States 17 601 0.6× 226 0.3× 99 0.4× 15 0.1× 21 0.2× 46 860
Louise J. Johnson United Kingdom 12 300 0.3× 151 0.2× 189 0.8× 26 0.1× 17 0.2× 23 520
Béatrice Chane-Woon-Ming France 15 641 0.6× 286 0.3× 181 0.8× 67 0.3× 266 2.4× 20 1000

Countries citing papers authored by Gregory I. Lang

Since Specialization
Citations

This map shows the geographic impact of Gregory I. Lang'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 Gregory I. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory I. Lang more than expected).

Fields of papers citing papers by Gregory I. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory I. Lang. 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 Gregory I. Lang. The network helps show where Gregory I. Lang may publish in the future.

Co-authorship network of co-authors of Gregory I. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory I. Lang. A scholar is included among the top collaborators of Gregory I. Lang 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 Gregory I. Lang. Gregory I. Lang 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.
Lang, Gregory I., et al.. (2023). Identifying Targets of Selection in Laboratory Evolution Experiments. Journal of Molecular Evolution. 91(3). 345–355. 4 indexed citations
2.
Aggeli, Dimitra, et al.. (2022). Overdominant and partially dominant mutations drive clonal adaptation in diploid Saccharomyces cerevisiae. Genetics. 221(2). 9 indexed citations
3.
Allocca, Mariateresa, Maria Monticelli, Joy Norris, et al.. (2022). Evolutionary rescue of phosphomannomutase deficiency in yeast models of human disease. eLife. 11. 12 indexed citations
4.
Buskirk, Sean W., et al.. (2022). Long-Term Adaptation to Galactose as a Sole Carbon Source Selects for Mutations Outside the Canonical GAL Pathway. Journal of Molecular Evolution. 91(1). 46–59. 6 indexed citations
5.
Buskirk, Sean W., et al.. (2021). Exploring a Local Genetic Interaction Network Using Evolutionary Replay Experiments. Molecular Biology and Evolution. 38(8). 3144–3152. 6 indexed citations
6.
Fisher, Kaitlin J., et al.. (2021). Overdominant Mutations Restrict Adaptive Loss of Heterozygosity at Linked Loci. Genome Biology and Evolution. 13(8). 6 indexed citations
7.
McCandlish, David M. & Gregory I. Lang. (2020). Evolution of Epistasis: Small Populations Go Their Separate Ways. Journal of Molecular Evolution. 88(5). 418–420.
8.
Song, Giltae, Seokwoo Kang, Ho-Yong Lee, et al.. (2019). Integrative Meta-Assembly Pipeline (IMAP): Chromosome-level genome assembler combining multiple de novo assemblies. PLoS ONE. 14(8). e0221858–e0221858. 6 indexed citations
9.
Buskirk, Sean W., et al.. (2018). Altered access to beneficial mutations slows adaptation and biases fixed mutations in diploids. Nature Ecology & Evolution. 2(5). 882–889. 38 indexed citations
10.
Fisher, Kaitlin J., et al.. (2018). Adaptive genome duplication affects patterns of molecular evolution in Saccharomyces cerevisiae. PLoS Genetics. 14(5). e1007396–e1007396. 56 indexed citations
11.
Buskirk, Sean W., et al.. (2017). Hitchhiking and epistasis give rise to cohort dynamics in adapting populations. Proceedings of the National Academy of Sciences. 114(31). 8330–8335. 34 indexed citations
12.
Lang, Gregory I.. (2017). Measuring Mutation Rates Using the Luria-Delbrück Fluctuation Assay. Methods in molecular biology. 1672. 21–31. 22 indexed citations
13.
Fisher, Kaitlin J. & Gregory I. Lang. (2016). Experimental evolution in fungi: An untapped resource. Fungal Genetics and Biology. 94. 88–94. 21 indexed citations
14.
Lang, Gregory I. & Michael M. Desai. (2014). The spectrum of adaptive mutations in experimental evolution. Genomics. 104(6). 412–416. 57 indexed citations
15.
Lang, Gregory I., Daniel P. Rice, Mark J. Hickman, et al.. (2013). Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations. Nature. 500(7464). 571–574. 389 indexed citations breakdown →
16.
Lang, Gregory I., Lance Parsons, & Alison E. Gammie. (2013). Mutation Rates, Spectra, and Genome-Wide Distribution of Spontaneous Mutations in Mismatch Repair Deficient Yeast. G3 Genes Genomes Genetics. 3(9). 1453–1465. 78 indexed citations
17.
Lang, Gregory I. & Andrew W. Murray. (2011). Mutation Rates across Budding Yeast Chromosome VI Are Correlated with Replication Timing. Genome Biology and Evolution. 3. 799–811. 121 indexed citations
18.
Lang, Gregory I. & David Botstein. (2011). A Test of the Coordinated Expression Hypothesis for the Origin and Maintenance of the GAL Cluster in Yeast. PLoS ONE. 6(9). e25290–e25290. 29 indexed citations
19.
Lang, Gregory I., Andrew W. Murray, & David Botstein. (2009). The cost of gene expression underlies a fitness trade-off in yeast. Proceedings of the National Academy of Sciences. 106(14). 5755–5760. 119 indexed citations
20.
Roff, Alanna, et al.. (2005). DEG1, encoding the tRNA:pseudouridine synthase Pus3p, impacts HOT1-stimulated recombination in Saccharomyces cerevisiae. Molecular Genetics and Genomics. 274(5). 528–538. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026