Amit Gupta

4.8k total citations · 1 hit paper
200 papers, 3.2k citations indexed

About

Amit Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amit Gupta has authored 200 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Biomedical Engineering and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amit Gupta's work include Advanced X-ray and CT Imaging (39 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Radiation Dose and Imaging (32 papers). Amit Gupta is often cited by papers focused on Advanced X-ray and CT Imaging (39 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Radiation Dose and Imaging (32 papers). Amit Gupta collaborates with scholars based in United States, India and Germany. Amit Gupta's co-authors include Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, Nathaniel Braman, Prateek Prasanna, Kai Roman Laukamp, Nikhil H. Ramaiya, Robert Gilkeson, Pradnya D. Patil and Mohammadhadi Khorrami and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Amit Gupta

178 papers receiving 3.1k citations

Hit Papers

Predicting cancer outcomes with radiomics and artificial ... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Gupta United States 25 1.5k 836 742 628 413 200 3.2k
Dajing Guo China 31 1.4k 0.9× 483 0.6× 994 1.3× 438 0.7× 218 0.5× 102 3.4k
Bruno Beomonte Zobel Italy 31 1.4k 0.9× 705 0.8× 505 0.7× 448 0.7× 1.1k 2.7× 289 4.1k
Shigeru Kiryu Japan 30 1.8k 1.1× 465 0.6× 708 1.0× 434 0.7× 584 1.4× 125 3.6k
Alexander Sauter Germany 27 1.5k 0.9× 487 0.6× 536 0.7× 323 0.5× 248 0.6× 115 2.8k
Antoine Simon France 31 989 0.6× 1.4k 1.7× 413 0.6× 396 0.6× 516 1.2× 206 3.5k
Rebecca M. Howell United States 43 2.2k 1.4× 2.6k 3.1× 704 0.9× 583 0.9× 372 0.9× 275 5.8k
Bingsheng Huang China 28 1.5k 1.0× 383 0.5× 309 0.4× 276 0.4× 292 0.7× 123 2.4k
Alessandro Carriero Italy 30 1.2k 0.8× 840 1.0× 276 0.4× 191 0.3× 590 1.4× 229 3.2k
Max J. H. Witjes Netherlands 39 688 0.4× 1.4k 1.6× 1.1k 1.5× 791 1.3× 1.6k 3.8× 196 4.7k
Nan Zhang China 30 698 0.5× 734 0.9× 347 0.5× 292 0.5× 1.1k 2.7× 281 4.9k

Countries citing papers authored by Amit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Amit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Gupta. A scholar is included among the top collaborators of Amit Gupta 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 Amit Gupta. Amit Gupta 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.
Gupta, Amit, et al.. (2024). Long-Term Outcome of Surgery for Grade 4 Gynecomastia: A Single-Center Experience. Indian Journal of Plastic Surgery. 57(6). 455–460.
3.
Delasos, Lukas, Mohammadhadi Khorrami, Vidya Sankar Viswanathan, et al.. (2024). Novel radiogenomics approach to predict and characterize pneumonitis in stage III NSCLC. npj Precision Oncology. 8(1). 290–290. 5 indexed citations
4.
Hunter, Joshua G., et al.. (2024). Real-World Performance of Pneumothorax-Detecting Artificial Intelligence Algorithm and its Impact on Radiologist Reporting Times. Academic Radiology. 32(3). 1165–1174. 5 indexed citations
5.
Khorrami, Mohammadhadi, Nathaniel Braman, Siddharth Kunte, et al.. (2023). Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer. npj Breast Cancer. 9(1). 67–67. 4 indexed citations
6.
Priya, Sarv, et al.. (2023). Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification. Academic Radiology. 31(2). 503–513. 3 indexed citations
8.
Golbabaee, Mohammad, et al.. (2023). Joint radial trajectory correction for accelerated T2* mapping on an MR‐Linac. Medical Physics. 50(11). 7027–7038. 1 indexed citations
9.
Braman, Nathaniel, Prateek Prasanna, Kaustav Bera, et al.. (2022). Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical Cancer Research. 28(20). 4410–4424. 19 indexed citations
10.
Shukla, Akash, Shraddha Patkar, Sridhar Sundaram, et al.. (2022). Clinical Profile, Patterns of Care & adherence to Guidelines in Patients with Hepatocellular Carcinoma: Prospective multi-center Study. Journal of Clinical and Experimental Hepatology. 12(6). 1463–1473. 8 indexed citations
11.
Khorrami, Mohammadhadi, Kaustav Bera, Rajat Thawani, et al.. (2021). Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. European Journal of Cancer. 148. 146–158. 24 indexed citations
12.
Bae, Joseph, Gagandeep Singh, Jeremy Green, et al.. (2021). Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. 384–398. 2 indexed citations
13.
Lennartz, Simon, Kai Roman Laukamp, Yasmeen K. Tandon, et al.. (2021). Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience. Abdominal Radiology. 46(7). 3501–3511. 6 indexed citations
14.
Gilkeson, Robert, et al.. (2021). COVID-19 infection complicated by acute ST-elevation myocardial infarction. Clinical Imaging. 78. 117–120.
15.
Teba, C.V., et al.. (2020). E-cigarette use related lung disease, review of clinical and imaging findings in 3 cases. Heart & Lung. 49(2). 139–143. 9 indexed citations
16.
Khorrami, Mohammadhadi, Prateek Prasanna, Amit Gupta, et al.. (2019). Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer. Cancer Immunology Research. 8(1). 108–119. 200 indexed citations
17.
Gupta, Amit, et al.. (2015). A Novel Approach for Load Balancing in Distributed System using FIFO-Support Vector Machine (FIFOSVM). International Journal of Science and Research (IJSR). 4(12). 345–351. 1 indexed citations
18.
Gupta, Amit, et al.. (2011). A case of multiple tuberculomas in brain presenting as hemiparesis. Asian Pacific Journal of Tropical Disease. 1(1). 83–84. 4 indexed citations
19.
Balan, Anita, et al.. (2009). Autofluorescence Spectroscopy for the in Vivo Evaluation of Oral Submucous Fibrosis. Photomedicine and Laser Surgery. 27(5). 757–761. 16 indexed citations
20.
Gupta, Amit, et al.. (2002). Radiological quiz - small parts. Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging. 12(3). 419.

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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