Juming Yan
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 2
- Co-authors
- Mark J. Smyth (7 shared papers)Michele W.L. Teng (7 shared papers)Stacey Allen (4 shared papers)Hongyu Zhou (3 shared papers)Jing Liu (2 shared papers)Xian-Yang Li (4 shared papers)Hongbin Zhang (4 shared papers)Jason Madore (1 shared paper)
- Journals
- Cancer Discovery (2 papers)OncoImmunology (2 papers)Cancer Immunology Research (2 papers)Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Juming Yan
26 papers receiving 913 citations
Peers
Comparison fields: 5 of 89
- Immunology 284
- Physiology 49
- Pharmacology 90
- Oncology 251
- Complementary and alternative medicine 36
Countries citing papers authored by Juming Yan
This map shows the geographic impact of Juming Yan'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 Juming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juming Yan more than expected).
Fields of papers citing papers by Juming Yan
This network shows the impact of papers produced by Juming Yan. 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 Juming Yan. The network helps show where Juming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Juming Yan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2019 | 109 | |
| 3 | 2019 | 72 | |
| 4 | 2014 | 71 | |
| 5 | 2013 | 65 | |
| 6 | 2020 | 64 | |
| 7 | 2023 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2019 | 38 | |
| 11 | 2013 | 35 | |
| 12 | 2019 | 31 | |
| 13 | 2013 | 27 | |
| 14 | 2024 | 25 | |
| 15 | 2023 | 23 | |
| 16 | 2015 | 22 | |
| 17 | 2013 | 18 | |
| 18 | 2013 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2018 | 14 |
About Juming Yan
Juming Yan is a scholar working on Molecular Biology, Immunology, Oncology, Pharmacology and Pharmacology, having authored 26 papers that have together received 921 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer Cells and Metastasis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (284 citations), Physiology (49 citations), Pharmacology (90 citations), Oncology (251 citations) and Complementary and alternative medicine (36 citations). Juming Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mark J. Smyth, Michele W.L. Teng, Stacey Allen, Hongyu Zhou, Jing Liu, Xian-Yang Li, Hongbin Zhang, Jason Madore, Xiang‐Hai Cai and Jake S. O’Donnell. Their work appears in journals such as Cancer Discovery, OncoImmunology, Cancer Immunology Research, Nature Communications and Journal of Clinical Oncology.
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.