Arvind Rao
- Genetics top 1%
- Glioma Diagnosis and Treatment 30
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- Radiomics and Machine Learning in Medical Imaging 38
- Health Informatics top 2%
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 12
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 11
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- Gene expression and cancer classification 15
- Bioinformatics and Genomic Networks 13
- Single-cell and spatial transcriptomics 12
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- AI in cancer detection 12
- Co-authors
- Ganesh RaoDalu YangJulienne L. CarstensSouptik BaruaRaghu KalluriPedro Corrêa de SampaioJames P. AllisonValerie S. LeBleu
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Arvind Rao
121 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Genetics 737
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 81
- Oncology 1.4k
- Cancer Research 625
Countries citing papers authored by Arvind Rao
This map shows the geographic impact of Arvind Rao'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 Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Rao more than expected).
Fields of papers citing papers by Arvind Rao
This network shows the impact of papers produced by Arvind Rao. 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 Rao. The network helps show where Arvind Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arvind Rao, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 69 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 45 | |
| 13 | 2021 | 112 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 73 | |
| 18 | 2018 | 44 | |
| 19 | 2018 | 18 | |
| 20 | Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation | 2016 | 0 |
About Arvind Rao
Arvind Rao is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 131 papers that have together received 4.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (38 papers), Glioma Diagnosis and Treatment (30 papers), Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Single-cell and spatial transcriptomics (12 papers), AI in cancer detection (12 papers) and Cancer Genomics and Diagnostics (11 papers). The work is most often cited by research in Genetics (737 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Health Informatics (81 citations). Arvind Rao has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Ganesh Rao, Dalu Yang, Julienne L. Carstens, Souptik Barua, Raghu Kalluri, Pedro Corrêa de Sampaio, James P. Allison, Valerie S. LeBleu, Huamin Wang and Lise Wei. Their work appears in journals such as Scientific Reports, Neuro-Oncology, Oncotarget, PLoS ONE and Medical Physics.
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.