Padmini Jayaraman
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Immunology 10
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Inflammation biomarkers and pathways 2
- Immunotherapy and Immune Responses 2
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- vaccines and immunoinformatics approaches 2
- Co-authors
- Andrew G. Sikora (8 shared papers)Falguni Parikh (6 shared papers)Yared Hailemichael (2 shared papers)Willem W. Overwijk (2 shared papers)Esther López-Rivera (2 shared papers)Elizabeth A. Grimm (2 shared papers)Michael A. Davies (2 shared papers)Sühendan Ekmekçioglu (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)The Journal of Immunology (2 papers)Cancer Immunology Research (2 papers)Vaccine X (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Padmini Jayaraman
11 papers receiving 540 citations
Peers
Comparison fields: 5 of 72
- Immunology 275
- Biochemistry 56
- Oncology 181
- Cancer Research 86
- Molecular Biology 200
Countries citing papers authored by Padmini Jayaraman
This map shows the geographic impact of Padmini Jayaraman'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 Padmini Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmini Jayaraman more than expected).
Fields of papers citing papers by Padmini Jayaraman
This network shows the impact of papers produced by Padmini Jayaraman. 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 Padmini Jayaraman. The network helps show where Padmini Jayaraman may publish in the future.
Co-authors
The 25 scholars most cited alongside Padmini Jayaraman, 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 | 2012 | 133 | |
| 2 | 2010 | 107 | |
| 3 | 2014 | 80 | |
| 4 | 2019 | 68 | |
| 5 | 2018 | 51 | |
| 6 | 2014 | 48 | |
| 7 | 2007 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 3 | |
| 11 | 2016 | 1 |
About Padmini Jayaraman
Padmini Jayaraman is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Genetics, having authored 11 papers that have together received 545 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Inflammation biomarkers and pathways (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (275 citations), Biochemistry (56 citations), Oncology (181 citations), Cancer Research (86 citations) and Molecular Biology (200 citations). Padmini Jayaraman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Andrew G. Sikora, Falguni Parikh, Yared Hailemichael, Willem W. Overwijk, Esther López-Rivera, Elizabeth A. Grimm, Michael A. Davies, Sühendan Ekmekçioglu, John Kwon and Viktor Umansky. Their work appears in journals such as Clinical Cancer Research, The Journal of Immunology, Cancer Immunology Research, Vaccine X and Frontiers in Immunology.
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.