Brian Chin
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Modeling and Simulation top 2%
Papers in
-
- Photosynthetic Processes and Mechanisms 5
-
- Global Maternal and Child Health 6
- Co-authors
- Tak W. Mak (4 shared papers)Barry Toyonaga (3 shared papers)Krishna Niyogi (5 shared papers)Dennis M. Feehan (2 shared papers)Christopher J L Murray (2 shared papers)Alan D López (2 shared papers)Kenneth Hill (2 shared papers)Yusuke Yanagi (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Educational Media International (2 papers)BMJ Global Health (2 papers)The Lancet (2 papers)Genetics (1 paper)
- Partner nations
- United StatesPhilippinesCanada
In The Last Decade
Brian Chin
40 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 157
- Immunology 707
- Modeling and Simulation 155
- Renewable Energy, Sustainability and the Environment 248
- Molecular Biology 843
- Genetics 118
Countries citing papers authored by Brian Chin
This map shows the geographic impact of Brian Chin'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 Brian Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Chin more than expected).
Fields of papers citing papers by Brian Chin
This network shows the impact of papers produced by Brian Chin. 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 Brian Chin. The network helps show where Brian Chin may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Chin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 423 | |
| 2 | 1985 | 358 | |
| 3 | 2010 | 314 | |
| 4 | 1985 | 207 | |
| 5 | 2012 | 204 | |
| 6 | 1985 | 196 | |
| 7 | 2005 | 145 | |
| 8 | 2007 | 138 | |
| 9 | 2004 | 98 | |
| 10 | 1985 | 62 | |
| 11 | Interferons differentially regulate histamine and TNF-alpha in rat intestinal mucosal mast cells. | 1995 | 41 |
| 12 | 2020 | 40 | |
| 13 | 2014 | 39 | |
| 14 | 2010 | 38 | |
| 15 | 2004 | 33 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 32 | |
| 18 | 2000 | 28 | |
| 19 | 2020 | 28 | |
| 20 | 2019 | 28 |
About Brian Chin
Brian Chin is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Immunology, Finance and Renewable Energy, Sustainability and the Environment, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include Global Maternal and Child Health (6 papers), Algal biology and biofuel production (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Healthcare Systems and Reforms (5 papers), Online and Blended Learning (3 papers), COVID-19 epidemiological studies (3 papers), Global Public Health Policies and Epidemiology (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Immunology (707 citations), Modeling and Simulation (155 citations), Renewable Energy, Sustainability and the Environment (248 citations), Molecular Biology (843 citations) and Genetics (118 citations). Brian Chin has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Tak W. Mak, Barry Toyonaga, Krishna Niyogi, Dennis M. Feehan, Christopher J L Murray, Alan D López, Kenneth Hill, Yusuke Yanagi, Yasunobu Yoshikai and Mark D. Minden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Educational Media International, BMJ Global Health, The Lancet and Genetics.
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.