Michael Lachmann

18.4k total citations · 5 hit papers
72 papers, 5.2k citations indexed

About

Michael Lachmann is a scholar working on Genetics, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Michael Lachmann has authored 72 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 24 papers in Sociology and Political Science and 19 papers in Molecular Biology. Recurrent topics in Michael Lachmann's work include Evolutionary Game Theory and Cooperation (22 papers), Evolution and Genetic Dynamics (19 papers) and COVID-19 epidemiological studies (11 papers). Michael Lachmann is often cited by papers focused on Evolutionary Game Theory and Cooperation (22 papers), Evolution and Genetic Dynamics (19 papers) and COVID-19 epidemiological studies (11 papers). Michael Lachmann collaborates with scholars based in United States, Germany and China. Michael Lachmann's co-authors include Carl T. Bergstrom, Svante Pääbo, Philipp Khaitovich, Wolfgang Enard, Eva Jablonka, Richard E. Green, Kay Prüfer, Janet Kelso, Günter Weiß and Ines Hellmann and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Lachmann

70 papers receiving 5.0k citations

Hit Papers

Patterns of damage in gen... 2005 2026 2012 2019 2007 2005 2010 2009 2023 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Patterns of damage in genomic DNA sequences from a Neandertal
    2007 602 citations Janet Kelso, Michael Lachmann et al. Proceedings of the National Academy of Sciences profile →
  2. Parallel Patterns of Evolution in the Genomes and Transcriptomes of Humans and Chimpanzees
    2005 446 citations Philipp Khaitovich, Ines Hellmann et al. profile →
  3. Targeted Investigation of the Neandertal Genome by Array-Based Sequence Capture
    2010 202 citations Michael Lachmann, Svante Pääbo et al. profile →
  4. The Neandertal genome and ancient DNA authenticity
    2009 128 citations Michael Lachmann, Svante Pääbo et al. profile →
  5. Assembly theory explains and quantifies selection and evolution
    2023 65 citations A. S. Sharma, Michael Lachmann et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Lachmann 2.3k 2.1k 712 663 528 72 5.2k
Joanna L. Mountain 1.9k 0.8× 5.1k 2.4× 320 0.4× 315 0.5× 995 1.9× 63 8.9k
Évelyne Heyer 1.1k 0.5× 2.6k 1.2× 351 0.5× 233 0.4× 404 0.8× 147 4.8k
L. Luca Cavalli-Sforza 1.5k 0.6× 5.5k 2.6× 432 0.6× 621 0.9× 391 0.7× 72 8.7k
Lev A. Zhivotovsky 1.6k 0.7× 5.1k 2.4× 637 0.9× 234 0.4× 584 1.1× 125 7.2k
Sarah A. Tishkoff 3.0k 1.3× 5.9k 2.8× 179 0.3× 319 0.5× 303 0.6× 112 10.6k
L. L. Cavalli‐Sforza 2.5k 1.1× 6.8k 3.2× 726 1.0× 817 1.2× 979 1.9× 97 10.9k
Luigi Luca Cavalli-Sforza 1.9k 0.8× 5.0k 2.3× 338 0.5× 1.3k 2.0× 337 0.6× 109 9.8k
Adam R. Boyko 1.9k 0.8× 3.9k 1.8× 305 0.4× 171 0.3× 626 1.2× 60 6.1k
Graham Coop 3.2k 1.4× 7.3k 3.4× 1000 1.4× 175 0.3× 870 1.6× 84 10.1k
Stephen Wooding 2.0k 0.9× 2.4k 1.1× 401 0.6× 128 0.2× 380 0.7× 50 5.5k

Countries citing papers authored by Michael Lachmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Lachmann. 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 Michael Lachmann. The network helps show where Michael Lachmann may publish in the future.

Co-authorship network of co-authors of Michael Lachmann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lachmann. A scholar is included among the top collaborators of Michael Lachmann 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 Michael Lachmann. Michael Lachmann 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.
Solé, Ricard V., Christopher P. Kempes, Bernat Corominas‐Murtra, et al.. (2024). Fundamental constraints to the logic of living systems. Interface Focus. 14(5). 20240010–20240010. 8 indexed citations
2.
Sharma, A. S., et al.. (2023). Assembly theory explains and quantifies selection and evolution. Nature. 622(7982). 321–328. 65 indexed citations breakdown →
3.
Pasco, Remy, Kaitlyn E. Johnson, Spencer J. Fox, et al.. (2023). COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts. Emerging infectious diseases. 29(3). 501–510. 1 indexed citations
4.
Johnson, Kaitlyn E., Remy Pasco, Spencer Woody, et al.. (2023). Optimizing COVID-19 testing strategies on college campuses: Evaluation of the health and economic costs. PLoS Computational Biology. 19(12). e1011715–e1011715. 1 indexed citations
5.
Fox, Spencer J., Michael Lachmann, Mauricio Tec, et al.. (2022). Real-time pandemic surveillance using hospital admissions and mobility data. Proceedings of the National Academy of Sciences. 119(7). 33 indexed citations
6.
Du, Zhanwei, Lin Wang, Yuan Bai, et al.. (2022). Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study. The Lancet Regional Health - Americas. 8. 100182–100182. 10 indexed citations
7.
Liu, Xiao Fan, Zhanwei Du, Lin Wang, et al.. (2022). Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model. iScience. 25(10). 105079–105079. 1 indexed citations
8.
Wang, Xutong, Zhanwei Du, Spencer J. Fox, et al.. (2022). The effectiveness of COVID-19 testing and contact tracing in a US city. Proceedings of the National Academy of Sciences. 119(34). e2200652119–e2200652119. 14 indexed citations
9.
Meyers, Lauren Ancel, et al.. (2021). The Experience of 2 Independent Schools With In‐Person Learning During the COVID ‐19 Pandemic. Journal of School Health. 91(5). 347–355. 23 indexed citations
10.
Charlat, Sylvain, André Ariew, Pierrick Bourrat, et al.. (2021). Natural Selection beyond Life? A Workshop Report. Life. 11(10). 1051–1051. 4 indexed citations
11.
Du, Zhanwei, Abhishek Pandey, Yuan Bai, et al.. (2021). Comparative cost-effectiveness of SARS-CoV-2 testing strategies in the USA: a modelling study. The Lancet Public Health. 6(3). e184–e191. 97 indexed citations
12.
Mafessoni, Fabrizio & Michael Lachmann. (2019). The complexity of understanding others as the evolutionary origin of empathy and emotional contagion. Scientific Reports. 9(1). 5794–5794. 21 indexed citations
13.
Mafessoni, Fabrizio & Michael Lachmann. (2015). Selective Strolls: Fixation and Extinction in Diploids Are Slower for Weakly Selected Mutations Than for Neutral Ones. Genetics. 201(4). 1581–1589. 16 indexed citations
14.
Dannemann, Michael, Michael Lachmann, & Anna Lorenc. (2012). 'maskBAD' - a package to detect and remove Affymetrix probes with binding affinity differences. BMC Bioinformatics. 13(1). 56–56. 6 indexed citations
15.
Somel, Mehmet, Song Guo, Ning Fu, et al.. (2010). MicroRNA, mRNA, and protein expression link development and aging in human and macaque brain. Genome Research. 20(9). 1207–1218. 239 indexed citations
16.
Somel, Mehmet, Henriette Franz, Yan Zheng, et al.. (2009). Transcriptional neoteny in the human brain. Proceedings of the National Academy of Sciences. 106(14). 5743–5748. 253 indexed citations
17.
Donaldson-Matasci, Matina C., Michael Lachmann, & Carl T. Bergstrom. (2008). Phenotypic diversity as an adaptation to environmental uncertainty. Evolutionary ecology research. 10(4). 493–515. 97 indexed citations
18.
Somel, Mehmet, Henriette Franz, U. Müeller, et al.. (2008). Human and Chimpanzee Gene Expression Differences Replicated in Mice Fed Different Diets. PLoS ONE. 3(1). e1504–e1504. 38 indexed citations
19.
Khaitovich, Philipp, Bjoern Muetzel, Xinwei She, et al.. (2004). Regional Patterns of Gene Expression in Human and Chimpanzee Brains. Genome Research. 14(8). 1462–1473. 247 indexed citations
20.
Khaitovich, Philipp, Günter Weiß, Michael Lachmann, et al.. (2004). A Neutral Model of Transcriptome Evolution. PLoS Biology. 2(5). e132–e132. 271 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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