Jim Sang
Impact in
- Molecular Biology top 10%
- Heat shock proteins research
- ATP Synthase and ATPases Research
- Cancer therapeutics and mechanisms
- Aging top 10%
Papers in
-
- Heat shock proteins research 18
- ATP Synthase and ATPases Research 9
- Cancer therapeutics and mechanisms 3
- Insect Resistance and Genetics 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- David A. ProiaDonald L. SmithSuqin HeManuel SequeiraChaohua ZhangJaime AcquavivaRichard C. BatesKevin P. Foley
- Journals
- Molecular Cancer Therapeutics (5 papers)Clinical Cancer Research (3 papers)Investigational New Drugs (3 papers)Molecular Cancer Research (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jim Sang
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 1.0k
- Aging 20
- Oncology 289
- Physical and Theoretical Chemistry 78
- Pulmonary and Respiratory Medicine 274
Countries citing papers authored by Jim Sang
This map shows the geographic impact of Jim Sang'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 Jim Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Sang more than expected).
Fields of papers citing papers by Jim Sang
This network shows the impact of papers produced by Jim Sang. 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 Jim Sang. The network helps show where Jim Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Sang, 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 | 2015 | 29 | |
| 2 | 2014 | 57 | |
| 3 | 2014 | 40 | |
| 4 | 2014 | 79 | |
| 5 | 2014 | 57 | |
| 6 | 2014 | 31 | |
| 7 | 2013 | 53 | |
| 8 | 2013 | 174 | |
| 9 | 2013 | 46 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 131 | |
| 12 | 2012 | 83 | |
| 13 | 2012 | 50 | |
| 14 | 2012 | 8 | |
| 15 | 2012 | 3 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 181 | |
| 18 | 2011 | 65 | |
| 19 | 2010 | 41 | |
| 20 | The oxidative stress inducer STA-4783 enhances the in vivo efficacy of multiple anti-cancer therapies in mouse tumor models | 2007 | 4 |
About Jim Sang
Jim Sang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Oncology and Organic Chemistry, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heat shock proteins research (18 papers), ATP Synthase and ATPases Research (9 papers), Computational Drug Discovery Methods (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Cancer therapeutics and mechanisms (3 papers), Click Chemistry and Applications (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Aging (20 citations), Oncology (289 citations), Physical and Theoretical Chemistry (78 citations) and Pulmonary and Respiratory Medicine (274 citations). Jim Sang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David A. Proia, Donald L. Smith, Suqin He, Manuel Sequeira, Chaohua Zhang, Jaime Acquaviva, Richard C. Bates, Kevin P. Foley, Yumiko Wada and Julie C. Friedland. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Investigational New Drugs, Molecular Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.