Weiwen Long
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Melanoma and MAPK Pathways 12
- Protein Kinase Regulation and GTPase Signaling 9
- PI3K/AKT/mTOR signaling in cancer 7
- Ubiquitin and proteasome pathways 6
- Oncology 10
- Cancer-related Molecular Pathways 4
- HER2/EGFR in Cancer Research 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Bert W. O’Malley (8 shared papers)Frank E. Jones (4 shared papers)Larbi Amazit (2 shared papers)David M. Lonard (3 shared papers)Xiaotao Li (2 shared papers)John J. Monaco (1 shared paper)Ming‐Jer Tsai (4 shared papers)Sophia Y. Tsai (3 shared papers)
- Journals
- Molecular Oncology (4 papers)Journal of Biological Chemistry (4 papers)Molecular Endocrinology (2 papers)Cell Reports (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weiwen Long
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Oncology 528
- Cancer Research 289
- Immunology and Allergy 90
- Molecular Biology 1.0k
- Cell Biology 174
Countries citing papers authored by Weiwen Long
This map shows the geographic impact of Weiwen Long'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 Weiwen Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwen Long more than expected).
Fields of papers citing papers by Weiwen Long
This network shows the impact of papers produced by Weiwen Long. 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 Weiwen Long. The network helps show where Weiwen Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwen Long, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 223 | |
| 2 | 2006 | 175 | |
| 3 | 2003 | 141 | |
| 4 | 2010 | 117 | |
| 5 | 2012 | 102 | |
| 6 | 2015 | 85 | |
| 7 | 2002 | 78 | |
| 8 | 2015 | 66 | |
| 9 | 2010 | 61 | |
| 10 | 2010 | 58 | |
| 11 | 2019 | 45 | |
| 12 | 2005 | 42 | |
| 13 | 2012 | 40 | |
| 14 | 2011 | 40 | |
| 15 | 2014 | 34 | |
| 16 | 2018 | 31 | |
| 17 | 2015 | 31 | |
| 18 | 2017 | 28 | |
| 19 | 2017 | 26 | |
| 20 | 2020 | 23 |
About Weiwen Long
Weiwen Long is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Immunology and Allergy, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (4 papers), HER2/EGFR in Cancer Research (3 papers), Cell Adhesion Molecules Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Oncology (528 citations), Cancer Research (289 citations), Immunology and Allergy (90 citations), Molecular Biology (1.0k citations) and Cell Biology (174 citations). Weiwen Long has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bert W. O’Malley, Frank E. Jones, Larbi Amazit, David M. Lonard, Xiaotao Li, John J. Monaco, Ming‐Jer Tsai, Sophia Y. Tsai, Lobna Elkhadragy and Michael A. Mancini. Their work appears in journals such as Molecular Oncology, Journal of Biological Chemistry, Molecular Endocrinology, Cell Reports and Journal of Clinical Investigation.
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.