Deepa Rai

876 citations
16 papers · 718 · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immune Cell Function and Interaction 7
    • Immune Response and Inflammation 6
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 3
    • Sepsis Diagnosis and Treatment 4

Deepa Rai

15 papers receiving 717 citations

Peers

Deepa Rai
Comparison fields: 5 of 75
  • Immunology 571
  • Neurology 62
  • Critical Care and Intensive Care Medicine 35
  • Epidemiology 218
  • Parasitology 22
Replace Uwe Grunwald with:
Uwe Grunwald Germany
Stacey M. Hartwig United States
Alejandra King Chile
Stephanie S. Cush United States
Eduardo Ferat‐Osorio Mexico
Huifeng Fan China
Francisca Portero Spain
Elisa Costa Spain
Akhilesh Kumar India
Roberto Tambini Italy
Deepa Rai relative to Uwe Grunwald Germany Uwe Grunwald's profile →
Citations per field
00.5×7.6×
Uwe Grunwald · 1×
Citations per year

Countries citing papers authored by Deepa Rai

Since Specialization
Citations

This map shows the geographic impact of Deepa Rai'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 Deepa Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Rai more than expected).

Fields of papers citing papers by Deepa Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa Rai. 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 Deepa Rai. The network helps show where Deepa Rai may publish in the future.

Co-authors

The 24 scholars most cited alongside Deepa Rai, 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 Deepa Rai Line = papers co-authored together Deepa Rai links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010212
2 2009146
3 201370
4 201558
5 201456
6 201554
7 201152
8 201230
9 201421
10 20136
11 20255
12 20234
13 20242
14 20241
15 20161
16 20190

About Deepa Rai

Deepa Rai is a scholar working on Immunology, Epidemiology, Molecular Biology, Management, Monitoring, Policy and Law and Neurology, having authored 16 papers that have together received 718 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (6 papers), T-cell and B-cell Immunology (6 papers), Sepsis Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Groundwater and Watershed Analysis (2 papers) and Hydrology and Watershed Management Studies (1 paper). The work is most often cited by research in Immunology (571 citations), Neurology (62 citations), Critical Care and Intensive Care Medicine (35 citations), Epidemiology (218 citations) and Parasitology (22 citations). Deepa Rai has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Vladimir P. Badovinac, John T. Harty, Thomas S. Griffith, Stephanie A. Condotta, Nhat‐Long Pham, Thomas Wirth, Hai‐Hui Xue, Britnie R. James, Matthew D. Martin and Prajwal Gurung. Their work appears in journals such as The Journal of Immunology, Immunity, Environment Development and Sustainability, Proceedings of the National Academy of Sciences and Applied Physics Express.

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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