Paul M. Hwang
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Cellular and Molecular Neuroscience top 0.2%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Co-authors
- David S. BredtSolomon H. SnyderMajid FotuhiCharles E. GlattKenneth W. KinzlerBert VogelsteinCharles J. LowensteinTed M. Dawson
- Topics
- Mitochondrial Function and Pathology (22 papers)Cancer, Hypoxia, and Metabolism (21 papers)Cancer-related Molecular Pathways (19 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Paul M. Hwang
105 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 7.3k
- Physiology 5.6k
- Cellular and Molecular Neuroscience 3.8k
- Oncology 2.7k
- Cancer Research 1.9k
Countries citing papers authored by Paul M. Hwang
This map shows the geographic impact of Paul M. Hwang'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 M. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Hwang more than expected).
Fields of papers citing papers by Paul M. Hwang
This network shows the impact of papers produced by Paul M. Hwang. 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 M. Hwang. The network helps show where Paul M. Hwang may publish in the future.
Co-authorship network of co-authors of Paul M. Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Hwang. A scholar is included among the top collaborators of Paul M. Hwang 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 Paul M. Hwang. Paul M. Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 65 | |
| 5 | 100 | |
| 6 | 146 | |
| 7 | 34 | |
| 8 | 30 | |
| 9 | 24 | |
| 10 | p53 Regulates Mitochondrial Respirationbreakdown → | 1327 |
| 11 | 10 | |
| 12 | 121 | |
| 13 | PUMA Induces the Rapid Apoptosis of Colorectal Cancer Cellsbreakdown → | 1046 |
| 14 | Disruption of p53 in human cancer cells alters the responses to therapeutic agentsbreakdown → | 883 |
| 15 | 114 | |
| 16 | 55 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | Nitric oxide synthase protein and mRNA are discretely localized in neuronal populations of the mammalian CNS together with NADPH diaphorasebreakdown → | 1241 |
| 20 | Localization of nitric oxide synthase indicating a neural role for nitric oxidebreakdown → | 2581 |
About Paul M. Hwang
Paul M. Hwang is a scholar working on Cancer Research, Psychiatry and Mental health and Molecular Biology, having authored 107 papers that have together received 16.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Cancer-related Molecular Pathways (19 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Physiology (5.6k citations) and Cellular and Molecular Neuroscience (3.8k citations). Paul M. Hwang has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include David S. Bredt, Solomon H. Snyder, Solomon H. Snyder, Majid Fotuhi, Charles E. Glatt, Kenneth W. Kinzler, Bert Vogelstein, Charles J. Lowenstein, Ted M. Dawson and Jian Yu. 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.