Roham Parsa
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
Papers in
- Immunology 17
- Immune Cell Function and Interaction 8
- Immune cells in cancer 6
- T-cell and B-cell Immunology 5
- IL-33, ST2, and ILC Pathways 4
- Immune Response and Inflammation 4
- Immunotherapy and Immune Responses 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Co-authors
- Robert A. Harris (9 shared papers)Xing‐Mei Zhang (6 shared papers)Harald Lund (5 shared papers)Sohel Mia (2 shared papers)Daniel Mucida (7 shared papers)Maja Jagodic (5 shared papers)Sofia Mayans (1 shared paper)Alan Gillett (2 shared papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Roham Parsa
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Neurology 352
- Immunology 619
- Developmental Neuroscience 69
- Biological Psychiatry 34
- Physiology 28
Countries citing papers authored by Roham Parsa
This map shows the geographic impact of Roham Parsa'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 Roham Parsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roham Parsa more than expected).
Fields of papers citing papers by Roham Parsa
This network shows the impact of papers produced by Roham Parsa. 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 Roham Parsa. The network helps show where Roham Parsa may publish in the future.
Co-authors
The 25 scholars most cited alongside Roham Parsa, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 183 | |
| 2 | 2018 | 161 | |
| 3 | 2020 | 101 | |
| 4 | 2009 | 99 | |
| 5 | 2021 | 82 | |
| 6 | 2012 | 80 | |
| 7 | 2014 | 64 | |
| 8 | 2016 | 61 | |
| 9 | 2024 | 47 | |
| 10 | 2022 | 46 | |
| 11 | 2012 | 43 | |
| 12 | 2022 | 41 | |
| 13 | 2022 | 36 | |
| 14 | 2014 | 34 | |
| 15 | 2016 | 28 | |
| 16 | 2024 | 24 | |
| 17 | 2022 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2013 | 10 | |
| 20 | 2022 | 5 |
About Roham Parsa
Roham Parsa is a scholar working on Immunology, Molecular Biology, Neurology, Infectious Diseases and Genetics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune cells in cancer (6 papers), T-cell and B-cell Immunology (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Neurology (352 citations), Immunology (619 citations), Developmental Neuroscience (69 citations), Biological Psychiatry (34 citations) and Physiology (28 citations). Roham Parsa has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Robert A. Harris, Xing‐Mei Zhang, Harald Lund, Sohel Mia, Daniel Mucida, Maja Jagodic, Sofia Mayans, Alan Gillett, Dan Holmberg and André Ortlieb Guerreiro‐Cacais. Their work appears in journals such as Glia, Immunity, Nature, Science and Diabetes.
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.