King‐Yeung Lam
- Public Health, Environmental and Occupational Health top 1%
- Genetics top 2%
- Modeling and Simulation top 0.5%
- Sociology and Political Science top 5%
- Mathematical Physics top 10%
- Co-authors
- Yuan LouWei‐Ming NiRenhao CuiFrithjof LutscherDaniel MuntherAvner FriedmanWei-Ming NiXinfu Chen
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (46 papers)Evolution and Genetic Dynamics (34 papers)Mathematical Biology Tumor Growth (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaConservation BiologyOikos
- Partner nations
- United StatesChinaCanada
In The Last Decade
King‐Yeung Lam
53 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Public Health, Environmental and Occupational Health 1.1k
- Genetics 867
- Modeling and Simulation 629
- Sociology and Political Science 246
- Mathematical Physics 99
Countries citing papers authored by King‐Yeung Lam
This map shows the geographic impact of King‐Yeung 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 King‐Yeung Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King‐Yeung Lam more than expected).
Fields of papers citing papers by King‐Yeung Lam
This network shows the impact of papers produced by King‐Yeung 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 King‐Yeung Lam. The network helps show where King‐Yeung Lam may publish in the future.
Co-authorship network of co-authors of King‐Yeung Lam
This figure shows the co-authorship network connecting the top 25 collaborators of King‐Yeung Lam. A scholar is included among the top collaborators of King‐Yeung Lam 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 King‐Yeung Lam. King‐Yeung Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 158 | |
| 14 | 14 | |
| 15 | 46 | |
| 16 | 50 | |
| 17 | 5 | |
| 18 | 98 | |
| 19 | 36 | |
| 20 | 52 |
About King‐Yeung Lam
King‐Yeung Lam is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (46 papers), Evolution and Genetic Dynamics (34 papers) and Mathematical Biology Tumor Growth (30 papers). The work is most often cited by research in Modeling and Simulation (629 citations), Public Health, Environmental and Occupational Health (1.1k citations) and Genetics (867 citations). King‐Yeung Lam has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yuan Lou, Wei‐Ming Ni, Renhao Cui, Frithjof Lutscher, Daniel Munther, Avner Friedman, Wei-Ming Ni, Xinfu Chen, Hongyan Jiang and Robert Stephen Cantrell. Their work appears in journals such as SHILAP Revista de lepidopterología, Conservation Biology and Oikos.
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.