Arvind Rao

724 total citations
15 papers, 331 citations indexed

About

Arvind Rao is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arvind Rao has authored 15 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arvind Rao's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Arvind Rao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Arvind Rao collaborates with scholars based in United States, Australia and India. Arvind Rao's co-authors include Souptik Barua, Ignacio I. Wistuba, Junya Fujimoto, Penny Fang, Amrish Sharma, Steven H. Lin, Alfred O. Hero, David J. States, James Douglas Engel and Adam S. Garden and has published in prestigious journals such as Bioinformatics, Clinical Cancer Research and Frontiers in Immunology.

In The Last Decade

Arvind Rao

13 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arvind Rao United States	9	162	100	82	78	53	15	331
Dong Dai China	13	133 0.8×	62 0.6×	180 2.2×	84 1.1×	169 3.2×	44	500
Eva Bozsaky Austria	10	38 0.2×	18 0.2×	48 0.6×	81 1.0×	80 1.5×	18	292
Daniel Heim Germany	10	84 0.5×	84 0.8×	142 1.7×	125 1.6×	38 0.7×	17	578
Ákos G. Horváth Hungary	7	33 0.2×	59 0.6×	27 0.3×	55 0.7×	32 0.6×	46	233
Saba Shafi United States	10	135 0.8×	49 0.5×	126 1.5×	60 0.8×	50 0.9×	42	387
Shulong Li China	10	55 0.3×	28 0.3×	234 2.9×	58 0.7×	176 3.3×	24	437
Renee Brady‐Nicholls United States	9	84 0.5×	20 0.2×	49 0.6×	85 1.1×	78 1.5×	14	339
Rhodri Smith United Kingdom	11	71 0.4×	136 1.4×	73 0.9×	47 0.6×	14 0.3×	39	422
Lanyun Feng China	9	124 0.8×	56 0.6×	34 0.4×	76 1.0×	35 0.7×	15	283
Kevin Boehm United States	5	56 0.3×	36 0.4×	164 2.0×	135 1.7×	67 1.3×	8	433

Countries citing papers authored by Arvind Rao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Arvind Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Rao. A scholar is included among the top collaborators of Arvind Rao 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 Arvind Rao. Arvind Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Fukuda, Yasunari, Matías A. Bustos, Elizabeth A. Grimm, et al.. (2025). Characterizing spatial immune architecture in metastatic melanoma using high-dimensional multiplex imaging. Frontiers in Immunology. 16. 1560778–1560778.

Saldarriaga, Ómar A., Timothy G. Wanninger, Michael Kueht, et al.. (2023). Heterogeneity in intrahepatic macrophage populations and druggable target expression in patients with steatotic liver disease-related fibrosis. JHEP Reports. 6(1). 100958–100958. 8 indexed citations

Warner, Elisa, Joonsang Lee, Nicholas Wang, et al.. (2023). Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. PubMed. 2023. 1–4.

Kang, Jian, et al.. (2023). SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data. Frontiers in Genetics. 14. 1175603–1175603. 2 indexed citations

Baranwal, Mayank, et al.. (2021). CGAT: Cell Graph ATtention Network for Grading of Pancreatic Disease Histology Images. Frontiers in Immunology. 12. 727610–727610. 7 indexed citations

Barua, Souptik, Hesham Elhalawani, Stefania Volpe, et al.. (2021). Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers in Artificial Intelligence. 4. 618469–618469. 11 indexed citations

Li, Tingyang, Ashootosh Tripathi, Fengan Yu, David H. Sherman, & Arvind Rao. (2019). DDAP: docking domain affinity and biosynthetic pathway prediction tool for type I polyketide synthases. Bioinformatics. 36(3). 942–944. 8 indexed citations

Aung, Phyu P., Edwin R. Parra, Souptik Barua, et al.. (2019). B7-H3 Expression in Merkel Cell Carcinoma–Associated Endothelial Cells Correlates with Locally Aggressive Primary Tumor Features and Increased Vascular Density. Clinical Cancer Research. 25(11). 3455–3467. 29 indexed citations

Kairemo, Kalevi, Eric Rohren, Pete Anderson, et al.. (2019). Development of sodium fluoride PET response criteria for solid tumours (NAFCIST) in a clinical trial of radium-223 in osteosarcoma: from RECIST to PERCIST to NAFCIST. ESMO Open. 4(1). e000439–e000439. 15 indexed citations

10.

Szafran, Adam T., et al.. (2019). Leveraging Image-Derived Phenotypic Measurements for Drug-Target Interaction Predictions. Cancer Informatics. 18. 2411602899–2411602899. 6 indexed citations

11.

Cárdenas, Carlos, Brian Anderson, Michalis Aristophanous, et al.. (2018). Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Physics in Medicine and Biology. 63(21). 215026–215026. 50 indexed citations

12.

Barua, Souptik, Penny Fang, Amrish Sharma, et al.. (2018). Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer. Lung Cancer. 117. 73–79. 141 indexed citations

13.

Barua, Souptik, Luisa M. Solis, Edwin R. Parra, et al.. (2018). A Functional Spatial Analysis Platform for Discovery of Immunological Interactions Predictive of Low-Grade to High-Grade Transition of Pancreatic Intraductal Papillary Mucinous Neoplasms. Cancer Informatics. 17. 2410529184–2410529184. 31 indexed citations

14.

Eric, C., et al.. (2018). Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion. Journal of Computational and Graphical Statistics. 28(1). 36–47. 1 indexed citations

15.

Rao, Arvind, Alfred O. Hero, David J. States, & James Douglas Engel. (2006). Inference of Biologically Relevant Gene Influence Networks Using the Directed Information Criterion. 2. II–1028. 22 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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