R. Vanguri

18.6k total citations · 1 hit paper
20 papers, 799 citations indexed

About

R. Vanguri is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, R. Vanguri has authored 20 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in R. Vanguri's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and AI in cancer detection (3 papers). R. Vanguri is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and AI in cancer detection (3 papers). R. Vanguri collaborates with scholars based in United States, Spain and Italy. R. Vanguri's co-authors include Sohrab P. Shah, Jianjiong Gao, Kevin Boehm, Pegah Khosravi, Lee Evans, Juan M. Banda, Nigam H. Shah, Nicholas P. Tatonetti, Patrick Ryan and Sachin Jambawalikar and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Cell Reports.

In The Last Decade

R. Vanguri

20 papers receiving 780 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Harnessing multimodal data integration to advance precision oncology

2021 324 citations Kevin Boehm, Pegah Khosravi et al. Nature reviews. Cancer profile →

Peers

Countries citing papers authored by R. Vanguri

Since Specialization

Citations

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

Fields of papers citing papers by R. Vanguri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Vanguri

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma 2025 ·Cell Reports ·James W. Smithy, (unknown), (unknown), Andrea P. Moy, (unknown), Colleen Maher, (unknown), R. Vanguri, (unknown), (unknown), (unknown), Yanyun Li, Michael A. Postow, Katherine S. Panageas, Travis J. Hollmann, Margaret K. Callahan, Ronglai Shen	1
2	Immune checkpoint landscape of human atherosclerosis and influence of cardiometabolic factors 2024 ·Nature Cardiovascular Research ·José Gabriel Barcia Durán, Dayasagar Das, (unknown), Letizia Amadori, (unknown), (unknown), Natalia Eberhardt, (unknown), (unknown), (unknown), Karishma Rahman, Dawn Fernandez, Peter L. Faries, Navneet Narula, R. Vanguri, Ira J. Goldberg, Edward A. Fisher, Jeffrey S. Berger, Kathryn J. Moore, Chiara Giannarelli	12
3	Detection of Critical Areas Prone to Land Degradation Using Prisma: The Metaponto Coastal Area in South Italy Test Case 2024 ·IRIS Research product catalog (Sapienza University of Rome) ·Sandro Pignatti, Maria Francesca Carfora, Rosa Coluzzi, (unknown), Italia De Feis, (unknown), Giovanni Laneve, Vito Imbrenda, Maria Lanfredi, (unknown), Angelo Palombo, Simone Pascucci, Federico Rossi, Federico Santini, T. Simoniello, R. Vanguri	1
4	Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression 2023 ·Cancer Research Communications ·Marta Ligero, Garazi Serna, Omar S. M. El Nahhas, Irene Sansano, (unknown), Cristina Viaplana, Julien Caldéraro, Rodrigo A. Toledo, Rodrigo Dienstmann, R. Vanguri, Jennifer L. Sauter, Francisco Sánchez-Vega, Sohrab P. Shah, Santiago Ramón y Cajal, Elena Garralda, Paolo Nucíforo, Raquel Pérez-López, Jakob Nikolas Kather	13
5	Cross-platform dataset of multiplex fluorescent cellular object image annotations 2023 ·Scientific Data ·(unknown), Yanyun Li, Yubin Xie, Mianlei Zhang, (unknown), (unknown), Dana Pe’er, R. Vanguri, Travis J. Hollmann	4
6	Integration of peripheral blood‐ and tissue‐based biomarkers of response to immune checkpoint blockade in urothelial carcinoma 2023 ·The Journal of Pathology ·R. Vanguri, James W. Smithy, Yanyun Li, (unknown), Colleen Maher, (unknown), (unknown), Hikmat Al‐Ahmadie, Samuel A. Funt, Jonathan E. Rosenberg, Gopa Iyer, Dean F. Bajorin, (unknown), Saad Nadeem, Katherine S. Panageas, Ronglai Shen, Margaret K. Callahan, Travis J. Hollmann	6
7	Prediction of locally advanced rectal cancer response to neoadjuvant chemoradiation therapy using volumetric multiparametric MRI-based radiomics 2023 ·Abdominal Radiology ·Maria El Homsi, Octavia Bane, (unknown), Stefanie J. Hectors, Naïk Vietti Violi, Patricia Sylla, Huaibin M. Ko, (unknown), (unknown), (unknown), R. Vanguri, Satish E. Viswanath, Sachin Jambawalikar, Hiram Shaish, Bachir Taouli	4
8	Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification 2022 ·Nature Machine Intelligence ·(unknown), Yanyun Li, Arie Kaufman, R. Vanguri, Noah F. Greenwald, Michael Angelo, Travis J. Hollmann, Saad Nadeem	65
9	Tumor Immune Microenvironment and Response to Neoadjuvant Chemotherapy in Hormone Receptor/HER2+ Early Stage Breast Cancer 2022 ·Clinical Breast Cancer ·R. Vanguri, Kathleen Fenn, (unknown), Qi Wang, Hua Guo, Douglas K. Marks, (unknown), (unknown), (unknown), Cheng‐Shiun Leu, Hanina Hibshoosh, Kevin Kalinsky, (unknown), Saad Nadeem, Travis J. Hollmann, Eileen P. Connolly	10
10	Understanding the impact of chemotherapy on the immune landscape of high-grade serous ovarian cancer 2022 ·Gynecologic Oncology Reports ·R. Vanguri, Jamal Benhamida, Jonathan H. Young, Yanyun Li, Oliver Zivanovic, Dennis Chi, Alexandra Snyder, Travis J. Hollmann, (unknown)	14
11	Multimodal integration of radiology, pathology, and genomics for prediction of response to PD-1 blockade in patients with non–small cell lung cancer. 2022 ·Journal of Clinical Oncology ·Jia Luo, R. Vanguri, (unknown), Jacklynn V. Egger, Christopher J. Fong, Natally Horvat, Andrew Pagano, José de Arimateia Batista Araújo-Filho, Luke Geneslaw, Hira Rizvi, Ramon E. Sosa, Kevin Boehm, Soo‐Ryum Yang, Katia Ventura, Travis Hollman, Michelle S. Ginsberg, Jianjiong Gao, Matthew D. Hellmann, Jennifer L. Sauter, Sohrab P. Shah	3
12	Harnessing multimodal data integration to advance precision oncology breakdown → 2021 ·Nature reviews. Cancer ·Kevin Boehm, Pegah Khosravi, R. Vanguri, Jianjiong Gao, Sohrab P. Shah	324
13	3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices 2021 ·Journal of Digital Imaging ·(unknown), Yulin Liu, R. Vanguri, (unknown), Michael Z. Liu, (unknown), Richard Ha, Hiram Shaish, Sachin Jambawalikar	9
14	Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study 2020 ·European Radiology ·Hiram Shaish, Andrew Aukerman, R. Vanguri, Antonino Spinelli, (unknown), Sachin Jambawalikar, (unknown), Stuart Bentley–Hibbert, Armando Del Portillo, Ravi P. Kiran, (unknown), Cristiana Bonifacio, Margarita Kirienko, Kevin Gardner, Lawrence H. Schwartz, Deborah S. Keller	96
15	Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification 2020 ·Computers in Biology and Medicine ·Michael Z. Liu, R. Vanguri, Simukayi Mutasa, Richard Ha, (unknown), Terry M. Button, Sachin Jambawalikar	17
16	Effect of automated TIL quantification in early-stage melanoma on accuracy of standard T staging using AJCC guidelines. 2020 ·Journal of Clinical Oncology ·Michael Moore, (unknown), Emanuelle M. Rizk, Megan H. Trager, Jülide Tok Çelebi, (unknown), (unknown), Tahsin Kurç, Jing Wang, (unknown), Eric M. Robinson, Larisa J. Geskin, Basil A. Horst, Kevin Gardner, George Niedt, Jane L. Messina, (unknown), Joel Saltz, R. Vanguri, Yvonne M. Saenger	2
17	Subcellular partitioning of Kaiso (ZBTB33) as a biomarker to predict overall breast cancer survival. 2020 ·Journal of Clinical Oncology ·Sandeep K. Singhal, Donald A. Sens, Mary Ann Sens, Jung S. Byun, (unknown), (unknown), (unknown), (unknown), Mark N. Bobrow, (unknown), Jason White, Andrew Aukerman, Clayton Yates, R. Vanguri, Rohan Bareja, Romina Lenci, Adriana De Siervi, Anna María Nápoles, Nasreen A. Vohra, Kevin Gardner	3
18	Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI 2019 ·Clinical Breast Cancer ·(unknown), Renee Cattell, (unknown), (unknown), Haifang Li, R. Vanguri, Michael Z. Liu, Sachin Jambawalikar, Richard Ha, Fusheng Wang, Jules Cohen, Clifford A. Bernstein, Lev Bangiyev, Timothy Q. Duong	46
19	A curated and standardized adverse drug event resource to accelerate drug safety research 2016 ·Scientific Data ·Juan M. Banda, Lee Evans, R. Vanguri, Nicholas P. Tatonetti, Patrick Ryan, Nigam H. Shah	161
20	Data from: A curated and standardized adverse drug event resource to accelerate drug safety research 2015 ·Data Archiving and Networked Services (DANS) ·Juan M. Banda, Lee Evans, R. Vanguri, Nicholas P. Tatonetti, Patrick Ryan, Nigam H. Shah	8

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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