Junming Ren
Impact in
- Immunology top 5%
- interferon and immune responses
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
- Nephrology top 5%
Papers in ⓘ
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Immune cells in cancer 2
- Co-authors
- Jiahuai Han (6 shared papers)Jianfeng Wu (5 shared papers)Zhirong Zhang (4 shared papers)Deli Huang (2 shared papers)Chao Yang (2 shared papers)Xinru Zheng (2 shared papers)Wenjuan Li (2 shared papers)Wanyun Li (1 shared paper)
- Journals
- Cell Research (3 papers)Nature Cell Biology (1 paper)Journal of the American Society of Nephrology (1 paper)Cell Reports (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junming Ren
12 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 782
- Nephrology 150
- Molecular Biology 1.4k
- Oncology 381
- Cancer Research 180
Countries citing papers authored by Junming Ren
This map shows the geographic impact of Junming Ren'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 Junming Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junming Ren more than expected).
Fields of papers citing papers by Junming Ren
This network shows the impact of papers produced by Junming Ren. 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 Junming Ren. The network helps show where Junming Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Junming Ren, 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 | Translocation of mixed lineage kinase domain-like protein to plasma membrane leads to necrotic cell death Hit paper breakdown → | 2013 | 624 |
| 2 | 2013 | 362 | |
| 3 | 2015 | 303 | |
| 4 | 2013 | 227 | |
| 5 | 2018 | 169 | |
| 6 | 2015 | 129 | |
| 7 | 2020 | 78 | |
| 8 | 2022 | 51 | |
| 9 | 2014 | 24 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 11 | |
| 12 | 2012 | 1 | |
| 13 | 2025 | 0 |
About Junming Ren
Junming Ren is a scholar working on Immunology, Developmental Neuroscience, Cancer Research, Critical Care and Intensive Care Medicine and Nephrology, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Trace Elements in Health (2 papers), Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (782 citations), Nephrology (150 citations), Molecular Biology (1.4k citations), Oncology (381 citations) and Cancer Research (180 citations). Junming Ren has collaborated with scholars based in China and United States. Frequent co-authors include Jiahuai Han, Jianfeng Wu, Zhirong Zhang, Deli Huang, Chao Yang, Xinru Zheng, Wenjuan Li, Wanyun Li, Xin Chen and Yunlong Song. Their work appears in journals such as Cell Research, Nature Cell Biology, Journal of the American Society of Nephrology, Cell Reports and ACS Synthetic Biology.
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.