Supriya Patel

634 citations
17 papers · 444 · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Colorectal Cancer Treatments and Studies
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Surgical Treatments

Papers in

    • Surgical Simulation and Training 2
    • Anorectal Disease Treatments and Outcomes 2
    • Organ Transplantation Techniques and Outcomes 1
    • Colorectal Cancer Screening and Detection 5
    • Colorectal Cancer Surgical Treatments 4

Supriya Patel

14 papers receiving 440 citations

Peers

Supriya Patel
Comparison fields: 5 of 60
  • Hepatology 52
  • Oncology 143
  • Pathology and Forensic Medicine 81
  • Cancer Research 37
  • Surgery 65
Replace Jiansheng Li with:
Jiansheng Li China
Erika Hissong United States
Jeffrey Meier United States
Christopher Rall United States
Chien‐Chuan Chen Taiwan
Tomonori Iida Japan
Ali Morshid United States
Inne Borel Rinkes Netherlands
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Supriya Patel relative to Jiansheng Li China Jiansheng Li's profile →
Citations per field
00.5×
Jiansheng Li · 1×
Citations per year

Countries citing papers authored by Supriya Patel

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Supriya Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Supriya Patel Line = papers co-authored together Supriya Patel links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2012174
2 201351
3 201648
4 201245
5 201245
6 201224
7 201819
8 201211
9 20068
10 20128
11 20186
12 20192
13 20132
14 20161
15 20240
16 20160
17 20150

About Supriya Patel

Supriya Patel is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Rheumatology and Hepatology, having authored 17 papers that have together received 444 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (5 papers), Colorectal Cancer Surgical Treatments (4 papers), Surgical Simulation and Training (2 papers), Liver Disease and Transplantation (2 papers), Genetic factors in colorectal cancer (2 papers), Anorectal Disease Treatments and Outcomes (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Hepatology (52 citations), Oncology (143 citations), Pathology and Forensic Medicine (81 citations), Cancer Research (37 citations) and Surgery (65 citations). Supriya Patel has collaborated with scholars based in United States, India and China. Frequent co-authors include Joseph Kim, Julio García‐Aguilar, Melanie Goldfarb, Amanda K. Arrington, Wendy Lee, Marjun P. Duldulao, Eileen L. Heinrich, Adrián E. Ortega, Wendy Lee and Andreas M. Kaiser. Their work appears in journals such as The American Surgeon, Liver Transplantation, The American Journal of Surgery, Wireless Networks and Current Problems in Surgery.

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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