Arvind Ravi

19 papers receiving 1.3k citations

Arvind Ravi's Hit Papers

Association of High Tumor Mutation Burden in Non–Small Cell Lung Cancers With Increased Immune Infiltration and Improved Clinical Outcomes of PD-L1 Blockade Across PD-L1 Expression Levels 2022 · 273 citations
2730+1+2Years since publication50100150200250

Peers

Arvind Ravi
Comparison fields: 5 of 83
  • Sensory Systems 128
  • Oncology 435
  • Cancer Research 177
  • Cell Biology 125
  • Pulmonary and Respiratory Medicine 149
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Rose‐Anne Romano United States
Chien-Jui Cheng Taiwan
Nisha Padmanabhan Singapore
Jinsheng Weng United States
Mizuo Ando Japan
Anthony Thomas United States
Yoshihiro Takemoto Japan
Alison Z. Young United States
Shilpa J Rao United States
Giorgia Jurisic Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009314
2
Association of High Tumor Mutation Burden in Non–Small Cell Lung Cancers With Increased Immune Infiltration and Improved Clinical Outcomes of PD-L1 Blockade Across PD-L1 Expression Levels
Hit paper breakdown →
2022273
3 2023125
4 2022107
5 201191
6 202189
7 201256
8 200650
9 202348
10 201142
11 202226
12 202417
13 201915
14 201214
15 20227
16 20246
17 20164
18 20242
19 20252
20 20250

About Arvind Ravi

Arvind Ravi is a scholar working on Oncology, Cancer Research, Surgery, Neurology and Sensory Systems, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Bladder and Urothelial Cancer Treatments (6 papers), MicroRNA in disease regulation (3 papers), Reading and Literacy Development (1 paper), Lung Cancer Treatments and Mutations (1 paper), Elasticity and Material Modeling (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Sensory Systems (128 citations), Oncology (435 citations), Cancer Research (177 citations), Cell Biology (125 citations) and Pulmonary and Respiratory Medicine (149 citations). Arvind Ravi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kaustabh Ghosh, Akiko Mammoto, Donald E. Ingber, Charles Kumar Thodeti, Phillip A. Sharp, Gad A. Getz, Grace X. Y. Zheng, Christopher B. Burge, Aaron Graubert and François Aguet. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, International Journal of Radiation Oncology*Biology*Physics, JAMA Neurology, Cell Reports Medicine and Clinical Genitourinary 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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