Michael Lachmann
Impact in
Papers in
- Genetics 32
- Evolution and Genetic Dynamics 20
- Forensic and Genetic Research 5
-
- Evolutionary Game Theory and Cooperation 23
- Co-authors
- Carl T. Bergstrom (15 shared papers)Svante Pääbo (16 shared papers)Philipp Khaitovich (12 shared papers)Wolfgang Enard (6 shared papers)Eva Jablonka (4 shared papers)Richard E. Green (7 shared papers)Kay Prüfer (5 shared papers)Janet Kelso (7 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Journal of Theoretical Biology (5 papers)PLoS Computational Biology (4 papers)Philosophical Transactions of the Royal Society B Biological Sciences (3 papers)Animal Behaviour (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Michael Lachmann
74 papers receiving 5.3k citations
Michael Lachmann's Hit Papers
Peers
Comparison fields: 5 of 187
- Genetics 2.1k
- Aging 118
- Developmental Biology 135
- Ecology, Evolution, Behavior and Systematics 755
- Paleontology 253
Countries citing papers authored by Michael Lachmann
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
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-authors
The 25 scholars most cited alongside Michael Lachmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Patterns of damage in genomic DNA sequences from a Neandertal Hit paper breakdown → | 2007 | 650 |
| 2 | Parallel Patterns of Evolution in the Genomes and Transcriptomes of Humans and Chimpanzees Hit paper breakdown → | 2005 | 472 |
| 3 | Transcriptional neoteny in the human brain Hit paper breakdown → | 2009 | 277 |
| 4 | 2004 | 275 | |
| 5 | 2004 | 262 | |
| 6 | 2010 | 249 | |
| 7 | 2006 | 236 | |
| 8 | 2001 | 223 | |
| 9 | Targeted Investigation of the Neandertal Genome by Array-Based Sequence Capture Hit paper breakdown → | 2010 | 215 |
| 10 | 1996 | 211 | |
| 11 | 2008 | 156 | |
| 12 | 2007 | 142 | |
| 13 | 2005 | 137 | |
| 14 | 2010 | 136 | |
| 15 | 1998 | 136 | |
| 16 | The Neandertal genome and ancient DNA authenticity Hit paper breakdown → | 2009 | 134 |
| 17 | 2003 | 108 | |
| 18 | Phenotypic diversity as an adaptation to environmental uncertainty | 2008 | 101 |
| 19 | 2021 | 99 | |
| 20 | 1992 | 99 |
About Michael Lachmann
Michael Lachmann is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Modeling and Simulation, having authored 76 papers that have together received 5.6k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (23 papers), Evolution and Genetic Dynamics (20 papers), Animal Behavior and Reproduction (11 papers), COVID-19 epidemiological studies (9 papers), Plant and animal studies (7 papers), SARS-CoV-2 detection and testing (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Forensic and Genetic Research (5 papers). The work is most often cited by research in Genetics (2.1k citations), Aging (118 citations), Developmental Biology (135 citations), Ecology, Evolution, Behavior and Systematics (755 citations) and Paleontology (253 citations). Michael Lachmann has collaborated with scholars based in United States, Germany and China. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Theoretical Biology, PLoS Computational Biology, Philosophical Transactions of the Royal Society B Biological Sciences and Animal Behaviour.
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.