Kaman Chan
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 3
- Viral gastroenteritis research and epidemiology 3
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- Charles C. Kim (4 shared papers)Stanley Falkow (6 shared papers)Denise M. Monack (2 shared papers)Jeffery S. Cox (2 shared papers)Elizabeth A. Joyce (2 shared papers)Lucinda J. Thompson (1 shared paper)Trevor D. Lawley (1 shared paper)Gregory Govoni (1 shared paper)
- Journals
- Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Infection and Immunity (1 paper)Genome biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Kaman Chan
13 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 70
- Endocrinology 359
- Infectious Diseases 519
- Food Science 468
- Molecular Medicine 123
- Ecology 362
Countries citing papers authored by Kaman Chan
This map shows the geographic impact of Kaman Chan'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 Kaman Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaman Chan more than expected).
Fields of papers citing papers by Kaman Chan
This network shows the impact of papers produced by Kaman Chan. 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 Kaman Chan. The network helps show where Kaman Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaman Chan, 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 | 2006 | 280 | |
| 2 | 2007 | 259 | |
| 3 | 2003 | 174 | |
| 4 | 2008 | 163 | |
| 5 | 2002 | 134 | |
| 6 | 2010 | 120 | |
| 7 | 2002 | 94 | |
| 8 | 2004 | 89 | |
| 9 | 2005 | 76 | |
| 10 | 2002 | 66 | |
| 11 | 1995 | 60 | |
| 12 | 2001 | 58 | |
| 13 | 2001 | 30 |
About Kaman Chan
Kaman Chan is a scholar working on Infectious Diseases, Ecology, Molecular Biology, Food Science and Epidemiology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Tuberculosis Research and Epidemiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Mycobacterium research and diagnosis (2 papers), Prion Diseases and Protein Misfolding (2 papers), Neurological diseases and metabolism (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (359 citations), Infectious Diseases (519 citations), Food Science (468 citations), Molecular Medicine (123 citations) and Ecology (362 citations). Kaman Chan has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Charles C. Kim, Stanley Falkow, Denise M. Monack, Jeffery S. Cox, Elizabeth A. Joyce, Lucinda J. Thompson, Trevor D. Lawley, Gregory Govoni, Jeffrey J. Margolis and David S. Weiss. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Infection and Immunity, Genome biology and Nature.
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.