Priyanka Devi-Marulkar
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Phagocytosis and Immune Regulation 1
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Marie‐Caroline Dieu‐Nosjean (8 shared papers)Claire Germain (6 shared papers)Diane Damotte (4 shared papers)Jérémy Goc (3 shared papers)Marco Alifano (3 shared papers)Jérôme Biton (2 shared papers)Samantha Knockaert (3 shared papers)Pierre Validire (3 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Cancers (1 paper)OncoImmunology (1 paper)Cancer Research (1 paper)Communications Biology (1 paper)
- Partner nations
- FranceUnited StatesCzechia
In The Last Decade
Priyanka Devi-Marulkar
9 papers receiving 368 citations
Peers
Comparison fields: 5 of 53
- Immunology 253
- Oncology 230
- Cell Biology 49
- Cancer Research 28
- Physiology 8
Countries citing papers authored by Priyanka Devi-Marulkar
This map shows the geographic impact of Priyanka Devi-Marulkar'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 Priyanka Devi-Marulkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Devi-Marulkar more than expected).
Fields of papers citing papers by Priyanka Devi-Marulkar
This network shows the impact of papers produced by Priyanka Devi-Marulkar. 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 Priyanka Devi-Marulkar. The network helps show where Priyanka Devi-Marulkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Priyanka Devi-Marulkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 159 | |
| 2 | 2015 | 86 | |
| 3 | 2021 | 58 | |
| 4 | 2022 | 52 | |
| 5 | 2018 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 |
About Priyanka Devi-Marulkar
Priyanka Devi-Marulkar is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 10 papers that have together received 369 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (253 citations), Oncology (230 citations), Cell Biology (49 citations), Cancer Research (28 citations) and Physiology (8 citations). Priyanka Devi-Marulkar has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include Marie‐Caroline Dieu‐Nosjean, Claire Germain, Diane Damotte, Jérémy Goc, Marco Alifano, Jérôme Biton, Samantha Knockaert, Pierre Validire, Guido Kroemer and Isabelle Cremer. Their work appears in journals such as Frontiers in Immunology, Cancers, OncoImmunology, Cancer Research and Communications Biology.
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.