Richard Rivera
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Immunology 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 5
- Co-authors
- Jerold ChunCornelis MurreChang‐Wook LeeAdrienne E. DubinYun C. YungGrace KennedyDeron R. HerrJi Woong Choi
- Journals
- Nature Immunology (5 papers)Journal of Biological Chemistry (4 papers)The Journal of Experimental Medicine (3 papers)Proceedings of the National Academy of Sciences (3 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Richard Rivera
49 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 1.5k
- Neurology 338
- Molecular Biology 2.4k
- Cell Biology 480
- Physiology 121
Countries citing papers authored by Richard Rivera
This map shows the geographic impact of Richard Rivera'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 Richard Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Rivera more than expected).
Fields of papers citing papers by Richard Rivera
This network shows the impact of papers produced by Richard Rivera. 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 Richard Rivera. The network helps show where Richard Rivera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Rivera, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 16 | |
| 8 | 2018 | 45 | |
| 9 | 2016 | 61 | |
| 10 | 2013 | 26 | |
| 11 | 2012 | 98 | |
| 12 | 2011 | 31 | |
| 13 | 2011 | 303 | |
| 14 | FTY720 (fingolimod) efficacy in an animal model of multiple sclerosis requires astrocyte sphingosine 1-phosphate receptor 1 (S1P 1 ) modulation Hit paper breakdown → | 2010 | 489 |
| 15 | 2006 | 138 | |
| 16 | 2004 | 75 | |
| 17 | 2001 | 65 | |
| 18 | 2001 | 11 | |
| 19 | 2000 | 129 | |
| 20 | 1998 | 58 |
About Richard Rivera
Richard Rivera is a scholar working on Neurology, Immunology, Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 50 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (22 papers), Immune Cell Function and Interaction (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Lipid Membrane Structure and Behavior (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), T-cell and B-cell Immunology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Immunology (1.5k citations), Neurology (338 citations), Molecular Biology (2.4k citations), Cell Biology (480 citations) and Physiology (121 citations). Richard Rivera has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Jerold Chun, Cornelis Murre, Chang‐Wook Lee, Adrienne E. Dubin, Yun C. Yung, Grace Kennedy, Deron R. Herr, Ji Woong Choi, Kyoko Noguchi and Mu‐En Lin. Their work appears in journals such as Nature Immunology, Journal of Biological Chemistry, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and The FASEB Journal.
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.