Matthew A. Barish

5.0k total citations · 1 hit paper
88 papers, 3.2k citations indexed

About

Matthew A. Barish is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew A. Barish has authored 88 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Oncology, 34 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew A. Barish's work include Colorectal Cancer Screening and Detection (30 papers), Gallbladder and Bile Duct Disorders (16 papers) and Pediatric Hepatobiliary Diseases and Treatments (15 papers). Matthew A. Barish is often cited by papers focused on Colorectal Cancer Screening and Detection (30 papers), Gallbladder and Bile Duct Disorders (16 papers) and Pediatric Hepatobiliary Diseases and Treatments (15 papers). Matthew A. Barish collaborates with scholars based in United States, China and Ireland. Matthew A. Barish's co-authors include Joseph T. Ferrucci, Jorge A. Soto, E. Kent Yucel, Helen M. Fenlon, Ram Chuttani, Paul C. Schroy, Peter Clarke, David Nunes, Perry J. Pickhardt and D Siegenberg 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

Matthew A. Barish

81 papers receiving 3.1k citations

Hit Papers

A Comparison of Virtual and Conventional Colonoscopy for ... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers

Matthew A. Barish
Abraham H. Dachman United States
Amit Rastogi United States
Erik J. Schoon Netherlands
Darragh Halpenny United States
Jeroen C. van Rijn Netherlands
Patrick Pfau United States
Pradeep Bhandari United Kingdom
Abraham H. Dachman United States
Matthew A. Barish
Citations per year, relative to Matthew A. Barish Matthew A. Barish (= 1×) peers Abraham H. Dachman

Countries citing papers authored by Matthew A. Barish

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Barish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Barish. 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 Matthew A. Barish. The network helps show where Matthew A. Barish may publish in the future.

Co-authorship network of co-authors of Matthew A. Barish

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Barish. A scholar is included among the top collaborators of Matthew A. Barish 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 Matthew A. Barish. Matthew A. Barish 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.
John, Kristen M., Cristina Valente, Amber N. Habowski, et al.. (2024). An AI-assisted navigation approach for patients with radiographic suspicion of new pancreas cancer.. Journal of Clinical Oncology. 42(16_suppl). 11002–11002. 1 indexed citations
2.
Goldberg-Stein, Shlomit, et al.. (2024). Global Health Initiatives: International Physician-to-Physician Consultation Programs. Journal of the American College of Radiology. 21(8). 1239–1247.
3.
Barish, Matthew A., et al.. (2023). A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays. SHILAP Revista de lepidopterología. 9(1). 1–1. 7 indexed citations
5.
Vincoff, Nina S., Matthew A. Barish, & Gregory Grimaldi. (2022). The patient-friendly radiology report: history, evolution, challenges and opportunities. Clinical Imaging. 89. 128–135. 14 indexed citations
6.
Spyropoulos, Alex C., Stuart L. Cohen, Eugenia Gianos, et al.. (2021). Validation of the IMPROVE‐DD risk assessment model for venous thromboembolism among hospitalized patients with COVID‐19. Research and Practice in Thrombosis and Haemostasis. 5(2). 296–300. 27 indexed citations
7.
Giannis, Dimitrios, Matthew A. Barish, Mark Goldin, et al.. (2021). Incidence of Venous Thromboembolism and Mortality in Patients with Initial Presentation of COVID-19. Journal of Thrombosis and Thrombolysis. 51(4). 897–901. 30 indexed citations
8.
Goldin, Mark, Nina Kohn, Michael Qiu, et al.. (2021). External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19. Journal of Thrombosis and Thrombolysis. 52(4). 1032–1035. 25 indexed citations
9.
Gianos, Eugenia, Jane Cerise, Jamie S. Hirsch, et al.. (2021). Sex-Based Differences in COVID-19 Outcomes. Journal of Women s Health. 30(4). 492–501. 14 indexed citations
10.
Giannis, Dimitrios, Steven L. Allen, Anne Davidson, et al.. (2020). Thromboembolic Outcomes of Hospitalized COVID-19 Patients in the 90-Day Post-Discharge Period: Early Data from the Northwell CORE-19 Registry. Blood. 136(Supplement 1). 33–34. 5 indexed citations
11.
Cohen, Stuart L., et al.. (2020). Abdominal pelvic CT findings compared between COVID-19 positive and COVID-19 negative patients in the emergency department setting. Abdominal Radiology. 46(4). 1498–1505. 9 indexed citations
12.
Gao, Yongfeng, et al.. (2019). Multi-scale characterizations of colon polyps via computed tomographic colonography. SHILAP Revista de lepidopterología. 2(1). 25–25. 7 indexed citations
13.
Dachman, Abraham H. & Matthew A. Barish. (2018). Structured reporting and quality control in CT colonography. Abdominal Radiology. 43(3). 566–573. 3 indexed citations
14.
Zhu, Hongbin, Matthew A. Barish, Perry J. Pickhardt, & Zhengrong Liang. (2012). Haustral Fold Segmentation With Curvature-Guided Level Set Evolution. IEEE Transactions on Biomedical Engineering. 60(2). 321–331. 18 indexed citations
15.
Rockey, Don C., Matthew A. Barish, Joel V. Brill, et al.. (2007). Standards for Gastroenterologists for Performing and Interpreting Diagnostic Computed Tomographic Colonography. Gastroenterology. 133(3). 1005–1024. 59 indexed citations
16.
Knechtges, Paul, et al.. (2007). National and Local Trends in CT Colonography Reimbursement: Past, Present, and Future. Journal of the American College of Radiology. 4(11). 776–799. 16 indexed citations
17.
Taylor, Helena O., Matthew A. Barish, & David I. Soybel. (2006). Unraveling Intestinal Malrotation With 3-Dimensional Computed Tomography. Clinical Gastroenterology and Hepatology. 4(8). A29–A29. 4 indexed citations
18.
Chaoui, Amin, et al.. (1999). Gastrointestinal/genitourinary case of the day. Lymphomatous infiltration of the right ureter.. American Journal of Roentgenology. 173(3). 786–786.
19.
Soto, Jorge A., Matthew A. Barish, & Joseph T. Ferrucci. (1997). Magnetic resonance imaging of the bile ducts. Seminars in Roentgenology. 32(3). 188–201. 10 indexed citations
20.
Barish, Matthew A., E. Kent Yucel, Jorge A. Soto, Ram Chuttani, & Joseph T. Ferrucci. (1995). MR cholangiopancreatography: efficacy of three-dimensional turbo spin-echo technique.. American Journal of Roentgenology. 165(2). 295–300. 153 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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