Tom Wu
Impact in
- Developmental Neuroscience top 10%
-
- Pluripotent Stem Cells Research
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
Papers in
-
- Receptor Mechanisms and Signaling 2
-
- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Co-authors
- Peter G. Schultz (9 shared papers)Sheng Ding (4 shared papers)Nathanael S. Gray (3 shared papers)Wooyoung Hur (1 shared paper)Eric C. Peters (1 shared paper)Achim Brinker (1 shared paper)Klaus W. Wagner (1 shared paper)Badry Bursulaya (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Organic Letters (3 papers)Journal of Pharmaceutical Sciences (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Tom Wu
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Developmental Neuroscience 41
- Molecular Biology 606
- Pharmacology 126
- Organic Chemistry 194
- Immunology 142
Countries citing papers authored by Tom Wu
This map shows the geographic impact of Tom Wu'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 Tom Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Wu more than expected).
Fields of papers citing papers by Tom Wu
This network shows the impact of papers produced by Tom Wu. 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 Tom Wu. The network helps show where Tom Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 306 | |
| 2 | 2006 | 94 | |
| 3 | 2003 | 93 | |
| 4 | 2005 | 84 | |
| 5 | 2013 | 74 | |
| 6 | 2005 | 73 | |
| 7 | 2003 | 47 | |
| 8 | 2003 | 39 | |
| 9 | 2016 | 36 | |
| 10 | 2001 | 32 | |
| 11 | 2010 | 29 | |
| 12 | 2014 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2019 | 25 | |
| 15 | 2015 | 23 | |
| 16 | 2002 | 16 | |
| 17 | 2017 | 13 | |
| 18 | 2019 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2012 | 9 |
About Tom Wu
Tom Wu is a scholar working on Molecular Biology, Immunology, Epidemiology, Organic Chemistry and Surgery, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Pancreatic function and diabetes (4 papers), Immunotherapy and Immune Responses (3 papers), Hepatitis B Virus Studies (2 papers), Renin-Angiotensin System Studies (2 papers), Receptor Mechanisms and Signaling (2 papers), Diabetes and associated disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Developmental Neuroscience (41 citations), Molecular Biology (606 citations), Pharmacology (126 citations), Organic Chemistry (194 citations) and Immunology (142 citations). Tom Wu has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Peter G. Schultz, Sheng Ding, Nathanael S. Gray, Wooyoung Hur, Eric C. Peters, Achim Brinker, Klaus W. Wagner, Badry Bursulaya, Quinn L. Deveraux and Pingda Ren. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Organic Letters, Journal of Pharmaceutical Sciences, Journal of Pharmacology and Experimental Therapeutics and Human Vaccines & Immunotherapeutics.
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.