Sunit Sebastian

404 total citations
10 papers, 278 citations indexed

About

Sunit Sebastian is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Sunit Sebastian has authored 10 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Sunit Sebastian's work include Radiation Dose and Imaging (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Sunit Sebastian is often cited by papers focused on Radiation Dose and Imaging (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Sunit Sebastian collaborates with scholars based in United States and Canada. Sunit Sebastian's co-authors include Jeffrey D. Neitlich, Lincoln L. Berland, Saravanan Krishnamoorthy, Vijay Jayaraman, Muhammad Wasif Saif, Valerie Relias, Peter F. Hahn, Susanna I. Lee, Joseph F. Simeone and Neil S. Horowitz and has published in prestigious journals such as American Journal of Clinical Pathology, European Journal of Radiology and Journal of the American College of Radiology.

In The Last Decade

Sunit Sebastian

9 papers receiving 271 citations

Peers

Sunit Sebastian

SURGE

PRM

RNMI

ONCOL

Scott P. Tannehill United States

Mina Yu South Korea

Tadashi Takenaka Japan

Keiko Nemoto Murofushi Japan

Perry W. Grigsby United States

Julieta Mezzera Uruguay

Seung‐Kook Sohn South Korea

Beth Chasen United States

Michelle D. Sakala United States

Xin Song China

Scott P. Tannehill United States

Sunit Sebastian

163 ×1.7

SURGE

128 ×1.5

PRM

95 ×1.1

RNMI

122 ×1.7

ONCOL

74 ×1.3

Citations per year, relative to Sunit Sebastian Sunit Sebastian (= 1×) peers Scott P. Tannehill

Countries citing papers authored by Sunit Sebastian

Since Specialization

Citations

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

Fields of papers citing papers by Sunit Sebastian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunit Sebastian

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

All Works

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10 of 10 papers shown

Brahm, Gary, et al.. (2020). Recommendations for the Management of Incidental Hepatobiliary Findings in Adults: Endorsement and Adaptation of the 2017 and 2013 ACR Incidental Findings Committee White Papers by the Canadian Association of Radiologists Incidental Findings Working Group. Canadian Association of Radiologists Journal. 71(4). 437–447. 25 indexed citations

Krishnamoorthy, Saravanan, Valerie Relias, Sunit Sebastian, Vijay Jayaraman, & Muhammad Wasif Saif. (2015). Management of regorafenib-related toxicities: a review. Therapeutic Advances in Gastroenterology. 8(5). 285–297. 74 indexed citations

Jones, Ellen, et al.. (2014). Breast Cancer in Mississippi: Impact of Race and Residential Geographical Setting on Cancer at Initial Diagnosis. Southern Medical Journal. 107(8). 510–512. 4 indexed citations

Sebastian, Sunit, et al.. (2013). Managing Incidental Findings on Abdominal and Pelvic CT and MRI, Part 4: White Paper of the ACR Incidental Findings Committee II on Gallbladder and Biliary Findings. Journal of the American College of Radiology. 10(12). 953–956. 82 indexed citations

Bhaijee, Feriyl, Sunit Sebastian, & Jack R. Lewin. (2013). Vaginal Malakoplakia: A Benign Mimic of Pelvic Malignancy in a Postmenopausal Female. American Journal of Clinical Pathology. 140(suppl 1). A171–A171.

Sebastian, Sunit, et al.. (2012). Ectopic intracaval liver. Clinical Imaging. 36(6). 869–872. 3 indexed citations

Sebastian, Sunit, et al.. (2012). Beyond routine abdominal CT in the ER: a patient with indeterminate recurrent abdominal pain benefits from CT enterography. Clinical Imaging. 36(3). 231–235. 2 indexed citations

Udayasankar, Unni, et al.. (2007). MDCT of thoraco-abdominal trauma: an evaluation of the success and limitations of primary interpretation using multiplanar reformatted images vs axial images. Emergency Radiology. 15(1). 29–34. 11 indexed citations

Sebastian, Sunit, Mannudeep K. Kalra, Pardeep Mittal, Sanjay Saini, & William Small. (2007). Can independent coronal multiplanar reformatted images obtained using state-of-the-art MDCT scanners be used for primary interpretation of MDCT of the abdomen and pelvis? A feasibility study. European Journal of Radiology. 64(3). 439–446. 10 indexed citations

10.

Sebastian, Sunit, Susanna I. Lee, Neil S. Horowitz, et al.. (2007). PET–CT vs. CT alone in ovarian cancer recurrence. Abdominal Imaging. 33(1). 112–118. 67 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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