Rishab Ramapriyan

1.4k citations
18 papers · 598 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • CAR-T cell therapy research 4
    • Cancer Cells and Metastasis 2
    • Glioma Diagnosis and Treatment 6

Rishab Ramapriyan

16 papers receiving 592 citations

Peers

Rishab Ramapriyan
Comparison fields: 5 of 65
  • Cancer Research 184
  • Oncology 320
  • Immunology 158
  • Pulmonary and Respiratory Medicine 177
  • Molecular Biology 215
Replace Ruslan D. Novosiadly with:
Ruslan D. Novosiadly United States
Go Oshima United States
Hyoun Wook Lee South Korea
Jonathan E. Schoenhals United States
Sangeeta Kakoti Japan
Hidetoshi Noma Japan
Kobe Reynders Netherlands
Cristina R. Ferrone United States
Chengdu Sun China
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Citations per field
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Ruslan D. Novosiadly · 1×
Citations per year

Countries citing papers authored by Rishab Ramapriyan

Since Specialization
Citations

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

Fields of papers citing papers by Rishab Ramapriyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018122
2 2018118
3 2019113
4 202076
5 202072
6 202029
7 201820
8 202418
9 20238
10 20235
11 20244
12 20244
13 20243
14 20223
15 20192
16 20211
17 20240
18 20250

About Rishab Ramapriyan

Rishab Ramapriyan is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 18 papers that have together received 598 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Glioma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (4 papers), Immune cells in cancer (4 papers), Effects of Radiation Exposure (3 papers), Cancer Cells and Metastasis (2 papers), Brain Metastases and Treatment (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Cancer Research (184 citations), Oncology (320 citations), Immunology (158 citations), Pulmonary and Respiratory Medicine (177 citations) and Molecular Biology (215 citations). Rishab Ramapriyan has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include James W. Welsh, María Angélica Cortez, Hari Menon, Hampartsoum B. Barsoumian, George A. Călin, Vivek Verma, Maureen Aliru, Simone Anfossi, Mauricio S. Caetano and Ana Carolina Paschoalini Mafra. Their work appears in journals such as Neurosurgical FOCUS, Pharmacology & Therapeutics, Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.

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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