Paul L. Huang
- Physiology top 0.05%
- Nitric Oxide and Endothelin Effects 132
- Biochemistry top 0.02%
- Eicosanoids and Hypertension Pharmacology 33
- Neurology top 0.2%
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- Renin-Angiotensin System Studies 50
- Endocrine and Autonomic Systems top 0.2%
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- Neuroscience and Neuropharmacology Research 18
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- Electron Spin Resonance Studies 16
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- Cardiac Ischemia and Reperfusion 15
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- Receptor Mechanisms and Signaling 13
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- Toxin Mechanisms and Immunotoxins 13
- Co-authors
- Mark C. FishmanMichael A. MoskowitzZhihong HuangSolomon H. SnyderHiroshi MashimoDmitriy N. AtochinNariman PanahianKenneth D. Bloch
- Cited by
- PhysiologyBiochemistryNeurology
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Paul L. Huang
259 papers receiving 30.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Physiology 11.8k
- Biochemistry 2.9k
- Neurology 2.3k
- Cardiology and Cardiovascular Medicine 6.1k
- Endocrine and Autonomic Systems 1.7k
Countries citing papers authored by Paul L. Huang
This map shows the geographic impact of Paul L. Huang'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 Paul L. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul L. Huang more than expected).
Fields of papers citing papers by Paul L. Huang
This network shows the impact of papers produced by Paul L. Huang. 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 Paul L. Huang. The network helps show where Paul L. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul L. Huang, 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 | 2023 | 3 | |
| 2 | 2018 | 46 | |
| 3 | 2015 | 53 | |
| 4 | 2012 | 77 | |
| 5 | 2010 | 231 | |
| 6 | 2007 | 30 | |
| 7 | 2006 | 19 | |
| 8 | 2003 | 93 | |
| 9 | 2001 | 30 | |
| 10 | 2001 | 53 | |
| 11 | 2001 | 41 | |
| 12 | 2000 | 40 | |
| 13 | 2000 | 41 | |
| 14 | 1999 | 253 | |
| 15 | 1999 | 35 | |
| 16 | 1998 | 1 | |
| 17 | 1998 | 99 | |
| 18 | Hypertension in mice lacking the gene for endothelial nitric oxide synthasebreakdown → | 1995 | 1692 |
| 19 | 1990 | 4 | |
| 20 | 1984 | 9 |
About Paul L. Huang
Paul L. Huang is a scholar working on Physiology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 260 papers that have together received 31.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (132 papers), Renin-Angiotensin System Studies (50 papers), Eicosanoids and Hypertension Pharmacology (33 papers), Neuroscience and Neuropharmacology Research (18 papers), Electron Spin Resonance Studies (16 papers), Cardiac Ischemia and Reperfusion (15 papers), Receptor Mechanisms and Signaling (13 papers) and Toxin Mechanisms and Immunotoxins (13 papers). The work is most often cited by research in Physiology (11.8k citations), Biochemistry (2.9k citations) and Neurology (2.3k citations). Paul L. Huang has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Mark C. Fishman, Michael A. Moskowitz, Zhihong Huang, Solomon H. Snyder, Hiroshi Mashimo, Dmitriy N. Atochin, Nariman Panahian, Kenneth D. Bloch, Ted M. Dawson and John A. Bevan. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.