Marc A. Suchard
Impact in
- Paleontology top 0.02%
- Evolution and Paleontology Studies
-
- Plant and animal studies
- Plant Diversity and Evolution
Papers in
- Virology 31
- HIV Research and Treatment 25
-
- Statistical Methods in Clinical Trials 22
- Co-authors
- Andrew RambautAlexei J. DrummondDong XieDaniel L. AyresGuy BaeleJohn P. HuelsenbeckAaron E. DarlingFredrik Ronquist
- Journals
- Molecular Biology and Evolution (25 papers)Systematic Biology (24 papers)Proceedings of the National Academy of Sciences (13 papers)Bioinformatics (11 papers)Virus Evolution (11 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Marc A. Suchard
292 papers receiving 63.9k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Paleontology 6.0k
- Ecology, Evolution, Behavior and Systematics 15.6k
- Ecological Modeling 3.3k
- Genetics 17.0k
- Virology 2.7k
Countries citing papers authored by Marc A. Suchard
This map shows the geographic impact of Marc A. Suchard'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 Marc A. Suchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Suchard more than expected).
Fields of papers citing papers by Marc A. Suchard
This network shows the impact of papers produced by Marc A. Suchard. 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 Marc A. Suchard. The network helps show where Marc A. Suchard may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc A. Suchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 8 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 104 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 119 | |
| 16 | 2018 | 85 | |
| 17 | The early spread and epidemic ignition of HIV-1 in human populations Hit paper breakdown → | 2014 | 406 |
| 18 | 2009 | 313 | |
| 19 | 2005 | 42 | |
| 20 | 2003 | 15 |
About Marc A. Suchard
Marc A. Suchard is a scholar working on Virology, Statistics and Probability, Paleontology, Modeling and Simulation and Genetics, having authored 300 papers that have together received 64.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (82 papers), Genetic diversity and population structure (62 papers), Evolution and Genetic Dynamics (37 papers), Evolution and Paleontology Studies (37 papers), Influenza Virus Research Studies (28 papers), HIV Research and Treatment (25 papers), Statistical Methods in Clinical Trials (22 papers) and Bayesian Methods and Mixture Models (21 papers). The work is most often cited by research in Paleontology (6.0k citations), Ecology, Evolution, Behavior and Systematics (15.6k citations), Ecological Modeling (3.3k citations), Genetics (17.0k citations) and Virology (2.7k citations). Marc A. Suchard has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Andrew Rambaut, Alexei J. Drummond, Dong Xie, Daniel L. Ayres, Guy Baele, John P. Huelsenbeck, Aaron E. Darling, Fredrik Ronquist, Liang Liu and Maxim Teslenko. Their work appears in journals such as Molecular Biology and Evolution, Systematic Biology, Proceedings of the National Academy of Sciences, Bioinformatics and Virus Evolution.
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.