Michelle L. Chalmers
- Epidemiology top 2%
- Hepatology top 0.5%
- Animal Science and Zoology top 0.5%
- Infectious Diseases top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Thomas P. LearyJames C. ErkerSuresh M. DesaiIsa K. MushahwarA. Scott MuerhoffJohn N. SimonsEdward TamGeorge J. Dawson
- Topics
- Hepatitis C virus research (10 papers)Animal Virus Infections Studies (9 papers)Hepatitis B Virus Studies (7 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michelle L. Chalmers
20 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Epidemiology 1.5k
- Hepatology 1.4k
- Animal Science and Zoology 910
- Infectious Diseases 810
- Cardiology and Cardiovascular Medicine 364
Countries citing papers authored by Michelle L. Chalmers
This map shows the geographic impact of Michelle L. Chalmers'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 Michelle L. Chalmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle L. Chalmers more than expected).
Fields of papers citing papers by Michelle L. Chalmers
This network shows the impact of papers produced by Michelle L. Chalmers. 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 Michelle L. Chalmers. The network helps show where Michelle L. Chalmers may publish in the future.
Co-authorship network of co-authors of Michelle L. Chalmers
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Chalmers. A scholar is included among the top collaborators of Michelle L. Chalmers 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 Michelle L. Chalmers. Michelle L. Chalmers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 42 | |
| 4 | 92 | |
| 5 | 11 | |
| 6 | 77 | |
| 7 | 198 | |
| 8 | 340 | |
| 9 | 15 | |
| 10 | 75 | |
| 11 | 457 | |
| 12 | 168 | |
| 13 | 50 | |
| 14 | 109 | |
| 15 | 30 | |
| 16 | 46 | |
| 17 | 17 | |
| 18 | Identification of two flavivirus-like genomes in the GB hepatitis agent.breakdown → | 442 |
| 19 | 209 | |
| 20 | 13 |
About Michelle L. Chalmers
Michelle L. Chalmers is a scholar working on Hepatology, Animal Science and Zoology and Infectious Diseases, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Animal Virus Infections Studies (9 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Hepatology (1.4k citations), Animal Science and Zoology (910 citations) and Infectious Diseases (810 citations). Michelle L. Chalmers has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Thomas P. Leary, James C. Erker, Suresh M. Desai, Isa K. Mushahwar, A. Scott Muerhoff, John N. Simons, Edward Tam, George J. Dawson, J. N. Simons and George J. Dawson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Virology.
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.