Roham Parsa

1.9k citations
22 papers · 1.3k · h-index 18

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

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • Immune cells in cancer 6
    • IL-33, ST2, and ILC Pathways 4
    • Immune Response and Inflammation 4
    • Immunotherapy and Immune Responses 3
    • Neuroinflammation and Neurodegeneration Mechanisms 6

Roham Parsa

21 papers receiving 1.3k citations

Peers

Roham Parsa
Comparison fields: 5 of 93
  • Neurology 342
  • Immunology 599
  • Developmental Neuroscience 62
  • Biological Psychiatry 36
  • Physiology 26
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Evan R. Jellison United States
Priscilla Heijnen Netherlands
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Hiroko Kanazawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Roham Parsa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roham Parsa Line = papers co-authored together Roham Parsa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012184
2 2018166
3 2020108
4 2009101
5 202190
6 201280
7 201665
8 201465
9 202461
10 202251
11 202247
12 201243
13 202240
14 202436
15 201434
16 201629
17 202225
18 201622
19 201311
20 20225

About Roham Parsa

Roham Parsa is a scholar working on Immunology, Neurology, Molecular Biology, Infectious Diseases and Genetics, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune cells in cancer (6 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Neurology (342 citations), Immunology (599 citations), Developmental Neuroscience (62 citations), Biological Psychiatry (36 citations) and Physiology (26 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, Dan Holmberg, Sofia Mayans, André Ortlieb Guerreiro‐Cacais and Alan Gillett. Their work appears in journals such as Glia, Science, Nature, Nature Immunology and Immunity.

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.

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