Ham Ching Lam
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 6
-
- Animal Virus Infections Studies 6
- Co-authors
- Douglas Marthaler (7 shared papers)James E. Collins (1 shared paper)Fábio A. Vannucci (1 shared paper)Daniel Linhares (1 shared paper)David Emílio Santos Neves de Barcellos (1 shared paper)Matthew C. Jarvis (4 shared papers)Martha I. Nelson (3 shared papers)Albert Rovira (3 shared papers)
- Journals
- Preventive Veterinary Medicine (2 papers)Zoonoses and Public Health (1 paper)Transboundary and Emerging Diseases (1 paper)Viruses (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Ham Ching Lam
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 39
- Animal Science and Zoology 192
- Agronomy and Crop Science 129
- Infectious Diseases 235
- Endocrinology 41
- Cardiology and Cardiovascular Medicine 116
Countries citing papers authored by Ham Ching Lam
This map shows the geographic impact of Ham Ching Lam'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 Ham Ching Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ham Ching Lam more than expected).
Fields of papers citing papers by Ham Ching Lam
This network shows the impact of papers produced by Ham Ching Lam. 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 Ham Ching Lam. The network helps show where Ham Ching Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ham Ching Lam, 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 | 2015 | 153 | |
| 2 | 2016 | 73 | |
| 3 | 2015 | 68 | |
| 4 | 2015 | 43 | |
| 5 | 2019 | 25 | |
| 6 | 2015 | 25 | |
| 7 | 2016 | 11 | |
| 8 | 2020 | 7 | |
| 9 | Gene Expression Analysis in Multi-Agent Environment. | 2006 | 4 |
| 10 | 2017 | 3 | |
| 11 | 2012 | 2 | |
| 12 | 2019 | 0 |
About Ham Ching Lam
Ham Ching Lam is a scholar working on Infectious Diseases, Animal Science and Zoology, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 414 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Immunology Research (3 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (2 papers), Influenza Virus Research Studies (2 papers), Cancer Genomics and Diagnostics (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Animal Science and Zoology (192 citations), Agronomy and Crop Science (129 citations), Infectious Diseases (235 citations), Endocrinology (41 citations) and Cardiology and Cardiovascular Medicine (116 citations). Ham Ching Lam has collaborated with scholars based in United States and Brazil. Frequent co-authors include Douglas Marthaler, James E. Collins, Fábio A. Vannucci, Daniel Linhares, David Emílio Santos Neves de Barcellos, Matthew C. Jarvis, Martha I. Nelson, Albert Rovira, Weizhi Chen and Anastasia N. Vlasova. Their work appears in journals such as Preventive Veterinary Medicine, Zoonoses and Public Health, Transboundary and Emerging Diseases, Viruses and Journal of Computational 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.