Avinash Kambadakone

8.0k total citations
208 papers, 4.4k citations indexed

About

Avinash Kambadakone is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Avinash Kambadakone has authored 208 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Radiology, Nuclear Medicine and Imaging, 73 papers in Biomedical Engineering and 65 papers in Surgery. Recurrent topics in Avinash Kambadakone's work include Radiation Dose and Imaging (79 papers), Advanced X-ray and CT Imaging (73 papers) and Pancreatic and Hepatic Oncology Research (37 papers). Avinash Kambadakone is often cited by papers focused on Radiation Dose and Imaging (79 papers), Advanced X-ray and CT Imaging (73 papers) and Pancreatic and Hepatic Oncology Research (37 papers). Avinash Kambadakone collaborates with scholars based in United States, Germany and Japan. Avinash Kambadakone's co-authors include Dushyant V. Sahani, Dushyant V. Sahani, Anushri Parakh, Naveen M. Kulkarni, Brian H. Eisner, Hamed Kordbacheh, Onofrio A. Catalano, Vinit Baliyan, Manuel Patiño and Gaurav S. Desai and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Avinash Kambadakone

194 papers receiving 4.3k citations

Peers

Avinash Kambadakone
Dushyant V. Sahani United States
Nicholas Gourtsoyiannis Greece
Dirk‐André Clevert Germany
Michael A. Blake United States
Vassilios Raptopoulos United States
Jay P. Heiken United States
Gary M. Israel United States
Christoph D. Becker Switzerland
Srinivasa R. Prasad United States
Daniele Marin United States
Dushyant V. Sahani United States
Avinash Kambadakone
Citations per year, relative to Avinash Kambadakone Avinash Kambadakone (= 1×) peers Dushyant V. Sahani

Countries citing papers authored by Avinash Kambadakone

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Kambadakone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avinash Kambadakone

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Kambadakone. A scholar is included among the top collaborators of Avinash Kambadakone 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 Avinash Kambadakone. Avinash Kambadakone 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.
Cao, Jinjin, et al.. (2025). Imaging in Hyperthermic Intraperitoneal Chemotherapy. Radiographics. 45(5). e240124–e240124.
2.
Lennartz, Simon, Anushri Parakh, Theodore T. Pierce, et al.. (2024). Material density dual-energy CT images: value added in early diagnosis of peritoneal carcinomatosis. Abdominal Radiology. 49(10). 3496–3506. 2 indexed citations
3.
Bhayana, Rajesh, Yangqing Deng, Gavin J.B. Elias, et al.. (2024). Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer. Radiology. 311(3). e233117–e233117. 32 indexed citations
4.
Rizzetto, Francesco, et al.. (2024). Dual-energy CT applications on liver imaging: what radiologists and radiographers should know? A systematic review. Abdominal Radiology. 49(11). 3811–3823. 6 indexed citations
5.
Hernandez‐Barco, Yasmin G., Carlos Fernández‐del Castillo, Fateh Bazerbachi, et al.. (2024). The multidisciplinary pancreatic cyst clinic: A collaborative approach to streamlined management. Pancreatology. 24(5). 764–770. 1 indexed citations
6.
Blake, Michael A., Mark Anderson, Aoife Kilcoyne, et al.. (2024). Diagnostic Anatomic Imaging for Neuroendocrine Neoplasms: Maximizing Strengths and Mitigating Weaknesses. Journal of Computer Assisted Tomography. 48(4). 521–532.
7.
Aslam, Anum, Victoria Chernyak, Frank H. Miller, et al.. (2024). CT/MRI LI-RADS 2024 Update: Treatment Response Assessment. Radiology. 313(2). e232408–e232408. 16 indexed citations
8.
Goiffon, Reece, et al.. (2024). Radiologic evaluation of the kidney transplant donor and recipient. Abdominal Radiology. 50(1). 272–289. 1 indexed citations
9.
10.
Pandey, Ankur, Onofrio A. Catalano, Anuradha S. Shenoy‐Bhangle, et al.. (2024). Imaging in malignant peritoneal neoplasms. Abdominal Radiology. 50(3). 1285–1306. 1 indexed citations
11.
Dane, Bari, et al.. (2023). Dual-Energy Computed Tomography: Technological Considerations. Radiologic Clinics of North America. 61(6). 945–961. 4 indexed citations
12.
Anderson, Mark, Yoshifumi Noda, Sophia C. Kamran, et al.. (2023). MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness?. Cancers. 15(8). 2313–2313. 2 indexed citations
13.
Parakh, Anushri, Chansik An, Simon Lennartz, et al.. (2021). Recognizing and Minimizing Artifacts at Dual-Energy CT. Radiographics. 41(2). 509–523. 30 indexed citations
14.
Noda, Yoshifumi, Nobuyuki Kawai, Toshiharu Miyoshi, et al.. (2021). Optimized Bolus Threshold for Dual-Energy CT Angiography with Monoenergetic Images: A Randomized Clinical Trial. Radiology. 300(3). 615–623. 9 indexed citations
15.
Parakh, Anushri, Simon Lennartz, Chansik An, et al.. (2021). Dual-Energy CT Images: Pearls and Pitfalls. Radiographics. 41(1). 98–119. 77 indexed citations
16.
Chari, Suresh T., Anirban Maitra, Lynn M. Matrisian, et al.. (2021). Early Detection Initiative: A randomized controlled trial of algorithm-based screening in patients with new onset hyperglycemia and diabetes for early detection of pancreatic ductal adenocarcinoma. Contemporary Clinical Trials. 113. 106659–106659. 31 indexed citations
17.
Narayan, Anand K., et al.. (2020). Using CT Encounters to Improve Colorectal Cancer Screening Utilization: Cross-Sectional Survey Results From the National Health Interview Survey. Current Problems in Diagnostic Radiology. 50(3). 332–336. 3 indexed citations
18.
Rajiah, Prabhakar, Anushri Parakh, Fernando Uliana Kay, et al.. (2020). Update on Multienergy CT: Physics, Principles, and Applications. Radiographics. 40(5). 1284–1308. 90 indexed citations
19.
Noda, Yoshifumi, Satoshi Goshima, Toshiharu Miyoshi, et al.. (2019). Iodine dose optimization in portal venous phase virtual monochromatic images of the abdomen: Prospective study on rapid kVp switching dual energy CT. European Journal of Radiology. 122. 108746–108746. 16 indexed citations
20.
Shaqdan, Khalid, Avinash Kambadakone, Peter F. Hahn, & Dushyant V. Sahani. (2017). Experience With Iterative Reconstruction Techniques for Abdominopelvic Computed Tomography in Morbidly and Super Obese Patients. Journal of Computer Assisted Tomography. 42(1). 124–132. 11 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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