Junmin Wu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Physiology top 5%
Papers in
-
- DNA Repair Mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- ATP Synthase and ATPases Research 2
- Oncology 9
- Cancer-related Molecular Pathways 5
- Co-authors
- Tullia Lindsten (5 shared papers)Craig B. Thompson (4 shared papers)Steven L. Reiner (2 shared papers)Sharline Madera (1 shared paper)Julie Chaix (1 shared paper)Scott M. Gordon (1 shared paper)Joseph C. Sun (1 shared paper)Levi J. Rupp (1 shared paper)
- Journals
- Cancer Research (3 papers)Developmental Neurobiology (1 paper)Autophagy (1 paper)The Prostate (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Junmin Wu
28 papers receiving 2.2k citations
Junmin Wu's Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 710
- Physiology 97
- Epidemiology 673
- Cancer Research 262
- Molecular Biology 1.1k
Countries citing papers authored by Junmin Wu
This map shows the geographic impact of Junmin 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 Junmin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junmin Wu more than expected).
Fields of papers citing papers by Junmin Wu
This network shows the impact of papers produced by Junmin 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 Junmin Wu. The network helps show where Junmin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junmin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Transcription Factors T-bet and Eomes Control Key Checkpoints of Natural Killer Cell Maturation Hit paper breakdown → | 2012 | 573 |
| 2 | 2008 | 454 | |
| 3 | 2011 | 281 | |
| 4 | Inhibiting Ras prenylation increases the radiosensitivity of human tumor cell lines with activating mutations of ras oncogenes. | 1998 | 154 |
| 5 | 2005 | 151 | |
| 6 | 2011 | 81 | |
| 7 | 2013 | 75 | |
| 8 | 2005 | 66 | |
| 9 | 2020 | 62 | |
| 10 | The farnesyltransferase inhibitor L744,832 reduces hypoxia in tumors expressing activated H-ras. | 2001 | 60 |
| 11 | 2013 | 50 | |
| 12 | 2000 | 33 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 27 | |
| 15 | 2005 | 24 | |
| 16 | 2015 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2019 | 17 | |
| 19 | 2008 | 14 | |
| 20 | 2018 | 13 |
About Junmin Wu
Junmin Wu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Ecology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immune Cell Function and Interaction (3 papers), DNA Repair Mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Autophagy in Disease and Therapy (3 papers), ATP Synthase and ATPases Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (710 citations), Physiology (97 citations), Epidemiology (673 citations), Cancer Research (262 citations) and Molecular Biology (1.1k citations). Junmin Wu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Tullia Lindsten, Craig B. Thompson, Steven L. Reiner, Sharline Madera, Julie Chaix, Scott M. Gordon, Joseph C. Sun, Levi J. Rupp, Eric J. Bernhard and Heesun Cheong. Their work appears in journals such as Cancer Research, Developmental Neurobiology, Autophagy, The Prostate and Nature Communications.
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.