Kai Man Kam
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Surgery top 5%
- Molecular Biology
- Food Science top 2%
- Co-authors
- Mario RaviǵlioneDick van SoolingenSang‐Jae KimPedro SuarezGiovanni Battista MiglioriA G KhomenkoChristopher DyeArata Kochi
- Topics
- Tuberculosis Research and Epidemiology (35 papers)Mycobacterium research and diagnosis (28 papers)Salmonella and Campylobacter epidemiology (15 papers)
- Journals
- The LancetJAMAPLoS ONE
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kai Man Kam
81 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 124
- Infectious Diseases 2.0k
- Epidemiology 1.7k
- Surgery 760
- Molecular Biology 505
- Food Science 427
Countries citing papers authored by Kai Man Kam
This map shows the geographic impact of Kai Man Kam'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 Kai Man Kam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Man Kam more than expected).
Fields of papers citing papers by Kai Man Kam
This network shows the impact of papers produced by Kai Man Kam. 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 Kai Man Kam. The network helps show where Kai Man Kam may publish in the future.
Co-authorship network of co-authors of Kai Man Kam
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Man Kam. A scholar is included among the top collaborators of Kai Man Kam 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 Kai Man Kam. Kai Man Kam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 17 | |
| 4 | 19 | |
| 5 | 22 | |
| 6 | 20 | |
| 7 | 50 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 291 | |
| 13 | 25 | |
| 14 | 12 | |
| 15 | 49 | |
| 16 | 23 | |
| 17 | 83 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 27 |
About Kai Man Kam
Kai Man Kam is a scholar working on Infectious Diseases, Endocrinology and Microbiology, having authored 82 papers that have together received 3.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (28 papers) and Salmonella and Campylobacter epidemiology (15 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Endocrinology (405 citations) and Molecular Medicine (263 citations). Kai Man Kam has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mario Raviǵlione, Dick van Soolingen, Sang‐Jae Kim, Pedro Suarez, Giovanni Battista Migliori, A G Khomenko, Christopher Dye, Arata Kochi, Marcos Espinal and Armand Van Deun. Their work appears in journals such as The Lancet, JAMA and PLoS ONE.
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.