John Hwa
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling
- Retinal Development and Disorders
Papers in
- Hematology 19
- Platelet Disorders and Treatments 18
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- Receptor Mechanisms and Signaling 28
- Co-authors
- Kathleen A. Martin (40 shared papers)Dianne M. Perez (9 shared papers)Wai Ho Tang (16 shared papers)Robert M. Graham (4 shared papers)Jeremiah Stitham (26 shared papers)H. G. Khorana (11 shared papers)Michael T. Piascik (1 shared paper)Scott Gleim (22 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Biochemistry (8 papers)Circulation (8 papers)PLoS ONE (5 papers)Arteriosclerosis Thrombosis and Vascular Biology (5 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
John Hwa
142 papers receiving 8.9k citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 832
- Molecular Biology 2.2k
- Hematology 431
- Immunology 506
- Biochemistry 79
Countries citing papers authored by John Hwa
This map shows the geographic impact of John Hwa'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 John Hwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hwa more than expected).
Fields of papers citing papers by John Hwa
This network shows the impact of papers produced by John Hwa. 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 John Hwa. The network helps show where John Hwa may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hwa, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 848 | |
| 2 | 1996 | 465 | |
| 3 | 2012 | 388 | |
| 4 | 2013 | 386 | |
| 5 | 2020 | 310 | |
| 6 | 2013 | 243 | |
| 7 | 2021 | 234 | |
| 8 | 1996 | 183 | |
| 9 | 2008 | 160 | |
| 10 | 2020 | 159 | |
| 11 | 2019 | 157 | |
| 12 | 2021 | 156 | |
| 13 | 2005 | 138 | |
| 14 | 1994 | 135 | |
| 15 | 2013 | 135 | |
| 16 | 2011 | 134 | |
| 17 | 1996 | 127 | |
| 18 | 2022 | 127 | |
| 19 | 2020 | 126 | |
| 20 | 2014 | 119 |
About John Hwa
John Hwa is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Biochemistry, having authored 152 papers that have together received 9.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (28 papers), Platelet Disorders and Treatments (18 papers), COVID-19 Clinical Research Studies (6 papers), Photoreceptor and optogenetics research (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Inflammatory mediators and NSAID effects (3 papers), Autophagy in Disease and Therapy (3 papers) and Kawasaki Disease and Coronary Complications (3 papers). The work is most often cited by research in Infectious Diseases (832 citations), Molecular Biology (2.2k citations), Hematology (431 citations), Immunology (506 citations) and Biochemistry (79 citations). John Hwa has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kathleen A. Martin, Dianne M. Perez, Wai Ho Tang, Robert M. Graham, Jeremiah Stitham, H. G. Khorana, Michael T. Piascik, Scott Gleim, Kanika Jain and Tarun Tyagi. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Circulation, PLoS ONE and Arteriosclerosis Thrombosis and Vascular 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.