Arvind Rao
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 31
- Glioma Diagnosis and Treatment 30
-
- Radiomics and Machine Learning in Medical Imaging 38
- Co-authors
- Ganesh Rao (19 shared papers)Dalu Yang (3 shared papers)Julienne L. Carstens (3 shared papers)Souptik Barua (5 shared papers)Raghu K. Kalluri (2 shared papers)Pedro Corrêa de Sampaio (2 shared papers)Huamin Wang (1 shared paper)James Patrick Allison (1 shared paper)
- Journals
- Scientific Reports (9 papers)Cell Reports (7 papers)Cell (6 papers)Neuro-Oncology (5 papers)JCI Insight (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Arvind Rao
164 papers receiving 17.2k citations
Arvind Rao's Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 3.9k
- Genetics 2.1k
- Oncology 4.4k
- Immunology 2.1k
- Molecular Biology 6.9k
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-authors
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
Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma Hit paper breakdown → | 2016 | 1643 |
| 3 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 4 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 5 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 6 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 7 | Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer Hit paper breakdown → | 2017 | 503 |
| 8 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 9 | Machine and deep learning methods for radiomics Hit paper breakdown → | 2020 | 437 |
| 10 | Multimodal mapping of the tumor and peripheral blood immune landscape in human pancreatic cancer Hit paper breakdown → | 2020 | 380 |
| 11 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
| 12 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 372 |
| 13 | 2018 | 320 | |
| 14 | 2015 | 276 | |
| 15 | 2018 | 273 | |
| 16 | 2018 | 252 | |
| 17 | Federated learning enables big data for rare cancer boundary detection Hit paper breakdown → | 2022 | 251 |
| 18 | Inhibition of Hedgehog Signaling Alters Fibroblast Composition in Pancreatic Cancer Hit paper breakdown → | 2021 | 236 |
| 19 | 2018 | 227 | |
| 20 | 2018 | 226 |
About Arvind Rao
Arvind Rao is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Molecular Biology, having authored 171 papers that have together received 17.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (38 papers), Glioma Diagnosis and Treatment (30 papers), Cancer Genomics and Diagnostics (20 papers), Pancreatic and Hepatic Oncology Research (15 papers), Cancer Immunotherapy and Biomarkers (14 papers), Single-cell and spatial transcriptomics (13 papers), Gene expression and cancer classification (13 papers) and Bioinformatics and Genomic Networks (13 papers). The work is most often cited by research in Cancer Research (3.9k citations), Genetics (2.1k citations), Oncology (4.4k citations), Immunology (2.1k citations) and Molecular Biology (6.9k citations). Arvind Rao has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ganesh Rao, Dalu Yang, Julienne L. Carstens, Souptik Barua, Raghu K. Kalluri, Pedro Corrêa de Sampaio, Huamin Wang, James Patrick Allison, Valerie S. LeBleu and Olivier Morin. Their work appears in journals such as Scientific Reports, Cell Reports, Cell, Neuro-Oncology and JCI Insight.
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.