Juan Ma
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Immunology 27
- Immunotherapy and Immune Responses 13
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 5
- Co-authors
- Yoshihiko Usui (7 shared papers)Hideo Yagita∥ (3 shared papers)Norihiro Harada (2 shared papers)Kazuyoshi Takeda (2 shared papers)Ko Okumura (3 shared papers)Hisaya Akiba (3 shared papers)Yuko Kojima (2 shared papers)Katsunari Tezuka (1 shared paper)
- Journals
- Oncology Reports (5 papers)Journal of Clinical Oncology (4 papers)Carcinogenesis (3 papers)International Journal of Oncology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Juan Ma
130 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 137
- Immunology 705
- Cancer Research 283
- Oncology 393
- Nephrology 101
- Toxicology 47
Countries citing papers authored by Juan Ma
This map shows the geographic impact of Juan Ma'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 Juan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Ma more than expected).
Fields of papers citing papers by Juan Ma
This network shows the impact of papers produced by Juan Ma. 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 Juan Ma. The network helps show where Juan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Ma, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 302 | |
| 2 | 2021 | 90 | |
| 3 | 2023 | 76 | |
| 4 | 2009 | 71 | |
| 5 | 2005 | 66 | |
| 6 | 2009 | 57 | |
| 7 | 2015 | 55 | |
| 8 | 2016 | 51 | |
| 9 | 2017 | 48 | |
| 10 | 2009 | 47 | |
| 11 | 2009 | 44 | |
| 12 | 2013 | 41 | |
| 13 | 2014 | 40 | |
| 14 | 2009 | 39 | |
| 15 | 2011 | 37 | |
| 16 | 2012 | 37 | |
| 17 | 2016 | 35 | |
| 18 | 2013 | 32 | |
| 19 | 2008 | 32 | |
| 20 | 2012 | 32 |
About Juan Ma
Juan Ma is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Cancer Research, having authored 139 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (14 papers), Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (10 papers), Cancer, Lipids, and Metabolism (7 papers), Estrogen and related hormone effects (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), NF-κB Signaling Pathways (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (705 citations), Cancer Research (283 citations), Oncology (393 citations), Nephrology (101 citations) and Toxicology (47 citations). Juan Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yoshihiko Usui, Hideo Yagita∥, Norihiro Harada, Kazuyoshi Takeda, Ko Okumura, Hisaya Akiba, Yuko Kojima, Katsunari Tezuka, Tomohide Yamazaki and Hui Y. Lan. Their work appears in journals such as Oncology Reports, Journal of Clinical Oncology, Carcinogenesis, International Journal of Oncology and Scientific Reports.
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.