Jimmy Kwang

201 total papers · 8.6k total citations
177 papers, 7.1k citations indexed

About

Jimmy Kwang is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Jimmy Kwang has authored 177 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Infectious Diseases, 55 papers in Molecular Biology and 50 papers in Epidemiology. Recurrent topics in Jimmy Kwang's work include Viral gastroenteritis research and epidemiology (54 papers), Animal Virus Infections Studies (45 papers) and Virus-based gene therapy research (36 papers). Jimmy Kwang is often cited by papers focused on Viral gastroenteritis research and epidemiology (54 papers), Animal Virus Infections Studies (45 papers) and Virus-based gene therapy research (36 papers). Jimmy Kwang collaborates with scholars based in Singapore, United States and China. Jimmy Kwang's co-authors include Fang He, B. L. Munday, NJG Moody, Isabelle Chen, Mookkan Prabakaran, Jue Liu, In Joong Yoon, Heesoo Joo, M. L. Frey and Beau J. Fenner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jimmy Kwang

176 papers receiving 6.8k citations

Hit Papers

Enhanced replication of p... 1993 2026 2004 2015 1993 2002 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jimmy Kwang 2.7k 2.5k 2.3k 1.7k 1.6k 177 7.1k
Daniel Kolakofsky 3.7k 1.3× 1.6k 0.6× 1.7k 0.7× 1.8k 1.1× 2.0k 1.3× 153 9.1k
Artur Summerfield 2.3k 0.8× 2.2k 0.9× 2.6k 1.1× 1.2k 0.7× 1.2k 0.8× 196 8.0k
Vikram N. Vakharia 1.1k 0.4× 1.4k 0.6× 1.6k 0.7× 675 0.4× 1.3k 0.8× 124 5.3k
Max L. Nibert 5.7k 2.1× 1.9k 0.8× 1.2k 0.5× 3.8k 2.3× 2.7k 1.7× 143 11.0k
Guangzhi Tong 3.9k 1.4× 3.7k 1.5× 760 0.3× 2.4k 1.4× 719 0.5× 245 6.6k
Venugopal Nair 1.3k 0.5× 1.4k 0.6× 1.5k 0.7× 1.1k 0.7× 2.1k 1.4× 238 7.3k
Maurice Pensaert 5.3k 2.0× 5.5k 2.3× 1.4k 0.6× 3.4k 2.0× 501 0.3× 208 9.2k
G. F. Kutish 1.6k 0.6× 1.3k 0.5× 1.1k 0.5× 1.4k 0.8× 1.6k 1.0× 95 7.7k
Glenn F. Browning 2.0k 0.7× 1.5k 0.6× 1.4k 0.6× 695 0.4× 659 0.4× 311 7.5k
Regina Hofmann‐Lehmann 4.5k 1.7× 1.2k 0.5× 1.5k 0.6× 2.7k 1.6× 830 0.5× 343 11.0k

Countries citing papers authored by Jimmy Kwang

Since Specialization
Citations

This map shows the geographic impact of Jimmy Kwang'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 Jimmy Kwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Kwang more than expected).

Fields of papers citing papers by Jimmy Kwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jimmy Kwang. 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 Jimmy Kwang. The network helps show where Jimmy Kwang may publish in the future.

Co-authorship network of co-authors of Jimmy Kwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Kwang. A scholar is included among the top collaborators of Jimmy Kwang 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 Jimmy Kwang. Jimmy Kwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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