Rishab Ramapriyan

1.4k total citations
18 papers, 598 citations indexed

About

Rishab Ramapriyan is a scholar working on Oncology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rishab Ramapriyan has authored 18 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 6 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rishab Ramapriyan's work include Cancer Immunotherapy and Biomarkers (8 papers), Glioma Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (4 papers). Rishab Ramapriyan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Glioma Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (4 papers). Rishab Ramapriyan collaborates with scholars based in United States, Türkiye and China. Rishab Ramapriyan's co-authors include James W. Welsh, María Angélica Cortez, Hari Menon, Hampartsoum B. Barsoumian, George A. Călin, Vivek Verma, Simone Anfossi, Maureen Aliru, Efrosini Tsouko and Mauricio S. Caetano and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Clinical Cancer Research.

In The Last Decade

Rishab Ramapriyan

16 papers receiving 592 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rishab Ramapriyan United States 9 320 215 184 177 158 18 598
Sangeeta Kakoti Japan 7 500 1.6× 243 1.1× 67 0.4× 119 0.7× 262 1.7× 12 647
Ruslan D. Novosiadly United States 9 346 1.1× 207 1.0× 114 0.6× 114 0.6× 155 1.0× 22 540
Jonathan E. Schoenhals United States 14 457 1.4× 124 0.6× 89 0.5× 253 1.4× 322 2.0× 22 744
Harm Westdorp Netherlands 14 439 1.4× 175 0.8× 112 0.6× 140 0.8× 255 1.6× 43 696
Go Oshima United States 7 181 0.6× 113 0.5× 146 0.8× 174 1.0× 68 0.4× 13 418
Chengdu Sun China 9 317 1.0× 218 1.0× 178 1.0× 224 1.3× 149 0.9× 9 575
Hanne K. Høifødt Norway 14 213 0.7× 151 0.7× 117 0.6× 158 0.9× 80 0.5× 23 471
Mohamed M. Kahila United States 7 205 0.6× 126 0.6× 121 0.7× 65 0.4× 85 0.5× 15 373
Huan-Huan Wang China 11 195 0.6× 158 0.7× 100 0.5× 151 0.9× 53 0.3× 13 461
Zoila A. Lopez‐Bujanda United States 11 409 1.3× 275 1.3× 213 1.2× 197 1.1× 291 1.8× 18 731

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-authorship network of co-authors of Rishab Ramapriyan

This figure shows the co-authorship network connecting the top 25 collaborators of Rishab Ramapriyan. A scholar is included among the top collaborators of Rishab Ramapriyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rishab Ramapriyan. Rishab Ramapriyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ramapriyan, Rishab, Jing Sun, Daniel P. Cahill, et al.. (2025). A Review of Emerging Immunotherapeutic Strategies for IDH-Mutant Glioma. Cancers. 17(13). 2178–2178.
2.
Ramapriyan, Rishab, et al.. (2024). Pre-Clinical Models for CAR T-Cell Therapy for Glioma. Cells. 13(17). 1480–1480. 3 indexed citations
3.
Ramapriyan, Rishab, María Martínez-Lage, Julie J. Miller, et al.. (2024). Mutant IDH Modulates Suppressive Myeloid Populations in Malignant Glioma. Clinical Cancer Research. 30(18). 4068–4076. 4 indexed citations
4.
Ramapriyan, Rishab, et al.. (2024). Altered cancer metabolism and implications for next-generation CAR T-cell therapies. Pharmacology & Therapeutics. 259. 108667–108667. 18 indexed citations
5.
Ramapriyan, Rishab, Victoria Clark, María Martínez-Lage, et al.. (2024). Fluorescence and immune-cell infiltration of nonneoplastic, postbrachytherapy brain tissue in 5-ALA–guided resection of recurrent anaplastic meningioma: illustrative case. Journal of Neurosurgery Case Lessons. 7(9).
6.
Sun, Jing, Rishab Ramapriyan, María Martínez-Lage, et al.. (2024). Suppression of antitumor immune signatures and upregulation of VEGFA as IDH-mutant gliomas progress to higher grade. Neurosurgical FOCUS. 56(2). E2–E2. 4 indexed citations
7.
Ramapriyan, Rishab, Jing Sun, Patrick C. Gedeon, et al.. (2023). The Role of Antibody-Based Therapies in Neuro-Oncology. Antibodies. 12(4). 74–74. 8 indexed citations
8.
Ramapriyan, Rishab, Hao Yu, Brian V. Nahed, et al.. (2023). County-level disparities in care for patients with glioblastoma. Neurosurgical FOCUS. 55(5). E12–E12. 5 indexed citations
9.
Barsoumian, Hampartsoum B., Rahul A. Sheth, Rishab Ramapriyan, et al.. (2022). Radiation Therapy Modulates Tumor Physical Characteristics to Reduce Intratumoral Pressure and Enhance Intratumoral Drug Delivery and Retention. Advances in Radiation Oncology. 8(2). 101137–101137. 3 indexed citations
10.
Ramapriyan, Rishab, et al.. (2021). Comparison of Low vs. High Dose Radiation to Reduce Intratumoral Pressure, Creating an Optimal Time Window for Drug Delivery. International Journal of Radiation Oncology*Biology*Physics. 111(3). e235–e235. 1 indexed citations
11.
Cortez, María Angélica, Fatemeh Masrorpour, Cristina Ivan, et al.. (2020). Bone morphogenetic protein 7 promotes resistance to immunotherapy. Nature Communications. 11(1). 4840–4840. 29 indexed citations
12.
Chen, Dawei, Roshal R. Patel, Vivek Verma, et al.. (2020). Interaction between lymphopenia, radiotherapy technique, dosimetry, and survival outcomes in lung cancer patients receiving combined immunotherapy and radiotherapy. Radiotherapy and Oncology. 150. 114–120. 76 indexed citations
13.
14.
Menon, Hari, Rishab Ramapriyan, Taylor R. Cushman, et al.. (2019). Role of Radiation Therapy in Modulation of the Tumor Stroma and Microenvironment. Frontiers in Immunology. 10. 193–193. 113 indexed citations
15.
Barsoumian, Hampartsoum B., Ahmed Younes, Rishab Ramapriyan, et al.. (2019). Low dose radiotherapy promotes immune-mediated anti-tumor responses. The Journal of Immunology. 202(1_Supplement). 136.11–136.11. 2 indexed citations
16.
Ramapriyan, Rishab, Mauricio S. Caetano, Hampartsoum B. Barsoumian, et al.. (2018). Altered cancer metabolism in mechanisms of immunotherapy resistance. Pharmacology & Therapeutics. 195. 162–171. 118 indexed citations
17.
Solanki, Abhishek A., Alberto Bossi, Jason A. Efstathiou, et al.. (2018). Combining Immunotherapy with Radiotherapy for the Treatment of Genitourinary Malignancies. European Urology Oncology. 2(1). 79–87. 20 indexed citations
18.
Cortez, María Angélica, Simone Anfossi, Rishab Ramapriyan, et al.. (2018). Role of miRNAs in immune responses and immunotherapy in cancer. Genes Chromosomes and Cancer. 58(4). 244–253. 122 indexed citations

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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