Ryan Sugarman

3.1k citations
13 papers · 61 · h-index 6

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Gastrointestinal Tumor Research and Treatment

Papers in

    • Colorectal Cancer Treatments and Studies 3
    • Pancreatic and Hepatic Oncology Research 2
    • Colorectal Cancer Surgical Treatments 1
    • Esophageal Cancer Research and Treatment 5
    • Colorectal and Anal Carcinomas 2

Ryan Sugarman

12 papers receiving 59 citations

Peers

Ryan Sugarman
Comparison fields: 5 of 34
  • Oncology 31
  • Gastroenterology 6
  • Genetics 10
  • Hematology 7
  • Pulmonary and Respiratory Medicine 20
Replace E. Razis with:
E. Razis Greece
Lukas Kazianka Austria
Reynald Lescarbeau United States
John Hrom United States
Kushal Prasad India
Jay Zeck United States
Noah Theiss United States
Eric Lander United States
Joe Sneath Thompson United Kingdom
Alexander Andreev-Drakhlin United States
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Sugarman

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Sugarman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Sugarman, 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 Ryan Sugarman Line = papers co-authored together Ryan Sugarman links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201913
2 202212
3 20189
4 20206
5 20215
6 20225
7 20234
8
No Shoes, No Socks, More Service: An Introduction to Improve Diabetic Foot Care
20142
9 20222
10 20231
11 20251
12 20221
13 20180

About Ryan Sugarman

Ryan Sugarman is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 61 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal and Anal Carcinomas (2 papers) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Oncology (31 citations), Gastroenterology (6 citations), Genetics (10 citations), Hematology (7 citations) and Pulmonary and Respiratory Medicine (20 citations). Ryan Sugarman has collaborated with scholars based in United States. Frequent co-authors include Johnson M. Liu, Muhammad Wasif Saif, Dennis Plenker, Sandhya Sharma, David A. Tuveson, Steven B. Maron, Ruchit Shah, Michelle F. Lamendola-Essel, Geoffrey Y. Ku and Abraham J. Wu. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Academy of Dermatology, Expert Opinion on Drug Metabolism & Toxicology, Clinical Therapeutics and Gastric Cancer.

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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