Martin Kreitman
- Genetics top 0.05%
- Molecular Biology top 0.5%
- Plant Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Insect Science top 0.2%
- Co-authors
- John H. McDonaldMontserrat AguadéJoy BergelsonRichard R. HudsonEli A. StahlMichael LudwigJosep M. ComeronDacheng Tian
- Topics
- Genetic diversity and population structure (32 papers)Genomics and Phylogenetic Studies (20 papers)Evolution and Genetic Dynamics (17 papers)
- Cited by
- GeneticsAgingPlant Science
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Martin Kreitman
101 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Genetics 7.2k
- Molecular Biology 6.9k
- Plant Science 4.7k
- Ecology, Evolution, Behavior and Systematics 1.9k
- Insect Science 1.6k
Countries citing papers authored by Martin Kreitman
This map shows the geographic impact of Martin Kreitman'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 Martin Kreitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kreitman more than expected).
Fields of papers citing papers by Martin Kreitman
This network shows the impact of papers produced by Martin Kreitman. 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 Martin Kreitman. The network helps show where Martin Kreitman may publish in the future.
Co-authorship network of co-authors of Martin Kreitman
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kreitman. A scholar is included among the top collaborators of Martin Kreitman 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 Martin Kreitman. Martin Kreitman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 53 | |
| 6 | 55 | |
| 7 | 45 | |
| 8 | 73 | |
| 9 | 250 | |
| 10 | 64 | |
| 11 | Fitness costs of R-gene-mediated resistance in Arabidopsis thalianabreakdown → | 608 |
| 12 | 14 | |
| 13 | 216 | |
| 14 | Human Genome Variation: Linking Genotypes to Clinical Phenotypes - Session Introduction. | 1 |
| 15 | 142 | |
| 16 | 470 | |
| 17 | 58 | |
| 18 | 231 | |
| 19 | 215 | |
| 20 | 88 |
About Martin Kreitman
Martin Kreitman is a scholar working on Genetics, Aging and Insect Science, having authored 101 papers that have together received 14.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (32 papers), Genomics and Phylogenetic Studies (20 papers) and Evolution and Genetic Dynamics (17 papers). The work is most often cited by research in Genetics (7.2k citations), Aging (225 citations) and Plant Science (4.7k citations). Martin Kreitman has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include John H. McDonald, Montserrat Aguadé, Joy Bergelson, Richard R. Hudson, Eli A. Stahl, Michael Ludwig, Josep M. Comeron, Dacheng Tian, Andrew J. Berry and Casey Bergman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.