Michael Li
Impact in
- Parasitology top 0.2%
- Endocrinology top 0.2%
Papers in
- Surgery 10
- Reconstructive Surgery and Microvascular Techniques 4
- Head and Neck Surgical Oncology 3
- Trauma Management and Diagnosis 2
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- Genomics and Phylogenetic Studies 2
- Co-authors
- Glen Stecher (1 shared paper)Sudhir Kumar (1 shared paper)Koichiro Tamura (1 shared paper)Sergei L. Kosakovsky Pond (1 shared paper)Spencer V. Muse (1 shared paper)Stephanie J. Spielman (1 shared paper)Steven Weaver (1 shared paper)Stephen D. Shank (1 shared paper)
- Journals
- Oral Oncology (3 papers)Head & Neck (3 papers)Molecular Biology and Evolution (2 papers)Annals of Surgical Oncology (2 papers)Current Biology (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Michael Li
30 papers receiving 28.9k citations
Michael Li's Hit Papers
Peers
Comparison fields: 5 of 180
- Parasitology 1.7k
- Endocrinology 1.2k
- Horticulture 218
- Plant Science 8.3k
- Ecology 5.6k
Countries citing papers authored by Michael Li
This map shows the geographic impact of Michael Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Li more than expected).
Fields of papers citing papers by Michael Li
This network shows the impact of papers produced by Michael Li. 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 Li. The network helps show where Michael Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Li, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms Hit paper breakdown → | 2018 | 27767 |
| 2 | Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes Hit paper breakdown → | 2017 | 638 |
| 3 | 2014 | 150 | |
| 4 | 2008 | 131 | |
| 5 | 2020 | 73 | |
| 6 | 2018 | 66 | |
| 7 | 2013 | 60 | |
| 8 | 2018 | 56 | |
| 9 | 2019 | 52 | |
| 10 | 1982 | 51 | |
| 11 | 2014 | 48 | |
| 12 | 2021 | 30 | |
| 13 | 2019 | 27 | |
| 14 | 2020 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 1983 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2013 | 13 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 9 |
About Michael Li
Michael Li is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 29.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (5 papers), Tracheal and airway disorders (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Head and Neck Surgical Oncology (3 papers), Evolution and Genetic Dynamics (2 papers), Trauma Management and Diagnosis (2 papers), Airway Management and Intubation Techniques (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Parasitology (1.7k citations), Endocrinology (1.2k citations), Horticulture (218 citations), Plant Science (8.3k citations) and Ecology (5.6k citations). Michael Li has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Glen Stecher, Sudhir Kumar, Koichiro Tamura, Sergei L. Kosakovsky Pond, Spencer V. Muse, Stephanie J. Spielman, Steven Weaver, Stephen D. Shank, Stephen Y. Kang and Gregory V. Barnett. Their work appears in journals such as Oral Oncology, Head & Neck, Molecular Biology and Evolution, Annals of Surgical Oncology and Current Biology.
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.