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 24
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 5
- Co-authors
- Yoshihiko Usui (7 shared papers)Hisaya Akiba (3 shared papers)Ko Okumura (3 shared papers)Hideo Yagita∥ (3 shared papers)Kazuyoshi Takeda (2 shared papers)Norihiro Harada (2 shared papers)Yuko Kojima (2 shared papers)Tomohide Yamazaki (1 shared paper)
- Journals
- Oncology Reports (5 papers)Journal of Clinical Oncology (4 papers)International Journal of Oncology (3 papers)Carcinogenesis (3 papers)Investigative Ophthalmology & Visual Science (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Juan Ma
132 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 135
- Immunology 649
- Cancer Research 230
- Nephrology 96
- Oncology 352
- Pharmacology 213
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 | 303 | |
| 2 | 2021 | 94 | |
| 3 | 2023 | 85 | |
| 4 | 2009 | 70 | |
| 5 | 2005 | 66 | |
| 6 | 2009 | 57 | |
| 7 | 2015 | 56 | |
| 8 | 2016 | 52 | |
| 9 | 2017 | 50 | |
| 10 | 2009 | 47 | |
| 11 | 2009 | 44 | |
| 12 | 2013 | 42 | |
| 13 | 2014 | 40 | |
| 14 | 2009 | 39 | |
| 15 | 2012 | 37 | |
| 16 | 2011 | 37 | |
| 17 | 2016 | 35 | |
| 18 | 2008 | 32 | |
| 19 | 2012 | 32 | |
| 20 | 2013 | 32 |
About Juan Ma
Juan Ma is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Cancer Research, having authored 139 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Inflammatory mediators and NSAID effects (12 papers), Immune Cell Function and Interaction (9 papers), Peroxisome Proliferator-Activated Receptors (6 papers), T-cell and B-cell Immunology (5 papers), Estrogen and related hormone effects (5 papers), NF-κB Signaling Pathways (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Immunology (649 citations), Cancer Research (230 citations), Nephrology (96 citations), Oncology (352 citations) and Pharmacology (213 citations). Juan Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yoshihiko Usui, Hisaya Akiba, Ko Okumura, Hideo Yagita∥, Kazuyoshi Takeda, Norihiro Harada, Yuko Kojima, Tomohide Yamazaki, Katsunari Tezuka and Jing Leng. Their work appears in journals such as Oncology Reports, Journal of Clinical Oncology, International Journal of Oncology, Carcinogenesis and Investigative Ophthalmology & Visual Science.
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.