Divya Sagar

947 citations
19 papers · 713 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Systemic Lupus Erythematosus Research

Papers in

    • Immunotherapy and Immune Responses 7
    • T-cell and Retrovirus Studies 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

Divya Sagar

18 papers receiving 705 citations

Peers

Divya Sagar
Comparison fields: 5 of 82
  • Immunology 388
  • Rheumatology 171
  • Neurology 85
  • Immunology and Allergy 46
  • Virology 31
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Divya Sagar relative to Ivan Peng United States Ivan Peng's profile →
Citations per field
00.5×3.1×
Ivan Peng · 1×
Citations per year

Countries citing papers authored by Divya Sagar

Since Specialization
Citations

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

Fields of papers citing papers by Divya Sagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Divya Sagar, 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 Divya Sagar Line = papers co-authored together Divya Sagar links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019116
2 2018106
3 201684
4 201484
5 201284
6 201567
7 201150
8 201731
9 202020
10 201317
11 201516
12 201414
13 201314
14 20155
15 20242
16 20181
17 20151
18 20181
19 20150

About Divya Sagar

Divya Sagar is a scholar working on Immunology, Pharmacology, Neurology, Rheumatology and Molecular Biology, having authored 19 papers that have together received 713 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), T-cell and Retrovirus Studies (3 papers), Systemic Lupus Erythematosus Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), HIV Research and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Immunology (388 citations), Rheumatology (171 citations), Neurology (85 citations), Immunology and Allergy (46 citations) and Virology (31 citations). Divya Sagar has collaborated with scholars based in United States, Slovakia and India. Frequent co-authors include Pooja Jain, Zafar K. Khan, Roland Kolbeck, Miguel A. F. Sanjuán, Martin G. Pomper, Catherine A. Foss, Sergei Pustylnikov, Richard N. Hanna, Anne Lamontagne and Rashida Ginwala. Their work appears in journals such as The Journal of Immunology, Journal of Neuroimmune Pharmacology, Retrovirology, Scientific Reports and Journal of Pharmacy & Pharmaceutical Sciences.

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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