Jay K. Mandula

844 citations
13 papers · 596 · h-index 10

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Phagocytosis and Immune Regulation
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Phagocytosis and Immune Regulation 5
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 3

Jay K. Mandula

13 papers receiving 591 citations

Peers

Jay K. Mandula
Comparison fields: 5 of 58
  • Immunology 214
  • Cell Biology 162
  • Biological Psychiatry 21
  • Oncology 122
  • Physiology 18
Replace Léa Zaffalon with:
Léa Zaffalon Switzerland
Lana Vandersarren Belgium
Kevin O’Hayer United States
Kathryn Austgen United States
María Alejandra Gleisner Chile
Hyun-Jin Kim South Korea
Stacy A. Decker United States
Chengzhou Mao China
Gwendoline Gros France
Xinwei Liu China
Jay K. Mandula relative to Léa Zaffalon Switzerland Léa Zaffalon's profile →
Citations per field
00.5×2×3×4.1×
Léa Zaffalon · 1×
Citations per year

Countries citing papers authored by Jay K. Mandula

Since Specialization
Citations

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

Fields of papers citing papers by Jay K. Mandula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay K. Mandula. 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 Jay K. Mandula. The network helps show where Jay K. Mandula may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020178
2 2022127
3 202287
4 202170
5 202433
6 202424
7 202423
8 202117
9 202314
10 202514
11 20226
12 20252
13 20261

About Jay K. Mandula

Jay K. Mandula is a scholar working on Immunology, Oncology, Cell Biology, Epidemiology and Cancer Research, having authored 13 papers that have together received 596 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (5 papers), CAR-T cell therapy research (4 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (214 citations), Cell Biology (162 citations), Biological Psychiatry (21 citations), Oncology (122 citations) and Physiology (18 citations). Jay K. Mandula has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Paulo C. Rodrı́guez, Juan R. Cubillos‐Ruiz, Camilla Salvagno, Ravindra B Kolhe, Theodore S. Johnson, Rafał Pacholczyk, Tracy L. McGaha, David H. Munn, Yousef Zakharia and Eugene Paul Kennedy. Their work appears in journals such as Immunity, Cancer Cell, Neuro-Oncology, Cancer Immunology Research and Trends in cancer.

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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