Sanjay Aneja

3.8k total citations · 1 hit paper
95 papers, 2.4k citations indexed

About

Sanjay Aneja is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Sanjay Aneja has authored 95 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 18 papers in Oncology. Recurrent topics in Sanjay Aneja's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Radiotherapy Techniques (8 papers). Sanjay Aneja is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Radiotherapy Techniques (8 papers). Sanjay Aneja collaborates with scholars based in United States, India and Germany. Sanjay Aneja's co-authors include Daniel Montgomery, Hitinder S. Gurm, Umesh Tamhane, Kim A. Eagle, James B. Yu, Benjamin H. Kann, Harlan M. Krumholz, Henry S. Park, Skyler B. Johnson and Carma L. Bylund and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Sanjay Aneja

85 papers receiving 2.3k citations

Hit Papers

Association Between Admis... 2008 2026 2014 2020 2008 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanjay Aneja 793 707 406 372 362 95 2.4k
Emanuele Neri 1.1k 1.3× 2.0k 2.8× 1.1k 2.7× 384 1.0× 380 1.0× 277 4.4k
Elaine Lee 472 0.6× 1.9k 2.6× 613 1.5× 229 0.6× 252 0.7× 110 3.6k
Shelly Soffer 533 0.7× 509 0.7× 364 0.9× 214 0.6× 249 0.7× 97 2.1k
Carol C. Wu 521 0.7× 1.8k 2.5× 1.9k 4.7× 470 1.3× 266 0.7× 156 4.2k
Lorenzo Faggioni 306 0.4× 1.1k 1.6× 467 1.2× 190 0.5× 125 0.3× 112 1.9k
Brent P. Little 317 0.4× 670 0.9× 677 1.7× 102 0.3× 241 0.7× 107 1.9k
Ali Gholamrezanezhad 773 1.0× 1.9k 2.7× 750 1.8× 127 0.3× 303 0.8× 215 4.7k
Pari V. Pandharipande 918 1.2× 2.0k 2.8× 1.2k 2.9× 262 0.7× 537 1.5× 117 4.9k
Christoph Wald 187 0.2× 831 1.2× 564 1.4× 298 0.8× 315 0.9× 85 2.0k
Peter Mildenberger 227 0.3× 941 1.3× 866 2.1× 173 0.5× 339 0.9× 129 2.5k

Countries citing papers authored by Sanjay Aneja

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Aneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Aneja

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

All Works

20 of 20 papers shown
1.
Zeevi, Tal, et al.. (2025). Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. American Journal of Neuroradiology. 46(7). 1421–1428.
2.
Hager, Thomas, et al.. (2025). Emerging Trends in Artificial Intelligence in Neuro-Oncology. Current Oncology Reports. 27(8). 951–962. 1 indexed citations
3.
Omuro, Antonio, Lisa M. DeAngelis, Mei‐Yin C. Polley, et al.. (2025). Multicenter randomized phase II study of R-MPV-A chemoimmunotherapy with or without low-dose whole-brain radiotherapy for newly-diagnosed primary CNS lymphoma. Neuro-Oncology. 28(2). 371–382.
4.
Brüningk, Sarah C., Sanjay Aneja, Anahita Fathi Kazerooni, et al.. (2024). Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment ofBRAFV600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial. American Journal of Neuroradiology. 45(4). 475–482. 1 indexed citations
5.
Haider, Stefan P., Ilko Maier, Sanjay Aneja, et al.. (2024). Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics. 14(24). 2827–2827. 1 indexed citations
6.
Weiss, David, Thomas Hager, Mariam Aboian, et al.. (2024). Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence. Journal of Vascular Surgery. 80(3). e37–e38.
7.
Lee, Victor, et al.. (2024). Lymph node metastasis prediction with non-small cell lung cancer histopathology imaging.. Journal of Clinical Oncology. 42(16_suppl). 8063–8063.
8.
Aboian, Mariam, et al.. (2023). 3D Capsule Networks for Brain Image Segmentation. American Journal of Neuroradiology. 44(5). 562–568. 9 indexed citations
9.
Mueller, Sabine, Sanjay Aneja, Ali Nabavizadeh, et al.. (2023). Evolution and implementation of radiographic response criteria in neuro-oncology. Neuro-Oncology Advances. 5(1). vdad118–vdad118. 8 indexed citations
10.
Dunn, Charles, et al.. (2023). Janus kinase inhibition for the treatment of refractory frontal fibrosing alopecia: A case series and review of the literature. JAAD Case Reports. 40. 47–52. 10 indexed citations
11.
Johnson, Skyler B., Andy J. King, Echo L. Warner, et al.. (2023). Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information. JNCI Cancer Spectrum. 7(2). 187 indexed citations
12.
Lin, MingDe, et al.. (2023). Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering. 10(2). 181–181. 49 indexed citations
13.
Yang, Daniel X., Jian‐Ge Zhou, Antonio Omuro, et al.. (2023). Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging. Cancers. 15(5). 1548–1548. 8 indexed citations
14.
Fisk, Jeffrey Nicholas, Alex Dornburg, Stephen G. Gaffney, et al.. (2021). Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma. Cancer Letters. 526. 346–351. 10 indexed citations
15.
Miccio, Joseph A., et al.. (2020). The Impact of Missing/Incomplete Data in Real-World Data Studies. International Journal of Radiation Oncology*Biology*Physics. 108(3). e394–e394. 3 indexed citations
16.
Aneja, Sanjay, et al.. (2020). Overview of genetic signaling pathway interactions within cutaneous malignancies. Journal of Cancer Metastasis and Treatment. 2020. 8 indexed citations
17.
Aneja, Sanjay, et al.. (2016). Allergic Dermatitis From a Defibrillator Vest. Dermatitis. 27(3). 151–151. 2 indexed citations
18.
Aneja, Sanjay. (2012). Association of Increased Dermatologist Density With Lower Melanoma Mortality. Archives of Dermatology. 148(2). 174–174. 76 indexed citations
19.
Aneja, Sanjay, Joseph S. Ross, Yongfei Wang, et al.. (2011). US Cardiologist Workforce From 1995 To 2007: Modest Growth, Lasting Geographic Maldistribution Especially In Rural Areas. Health Affairs. 30(12). 2301–2309. 53 indexed citations
20.
Aneja, Sanjay, Benjamin D. Smith, Cary P. Gross, et al.. (2011). Geographic Analysis of the Radiation Oncology Workforce. International Journal of Radiation Oncology*Biology*Physics. 82(5). 1723–1729. 49 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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