Ryan Sugarman

3.4k citations
14 papers · 64 · h-index 6

Impact in

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

Papers in

    • Esophageal Cancer Research and Treatment 4
    • Colorectal and Anal Carcinomas 2
    • Colorectal Cancer Treatments and Studies 3
    • Pancreatic and Hepatic Oncology Research 1

Ryan Sugarman

13 papers receiving 63 citations

Peers

Ryan Sugarman
Comparison fields: 5 of 30
  • Oncology 27
  • Gastroenterology 5
  • Toxicology 2
  • Genetics 5
  • Hematology 5
Replace Jaromír Háček with:
Jaromír Háček Czechia
Lukas Kazianka Austria
Eric Lander United States
J. Lee South Korea
Baek‐Yeol Ryoo South Korea
Sang-Young Roh South Korea
Noah Theiss United States
Armin Jarosch Germany
Tadej Dovšak Slovenia
Abdelrahman Yousry Afify Egypt
Ryan Sugarman relative to Jaromír Háček Czechia Jaromír Háček's profile →
Citations per field
00.5×1.5×2.5×
Jaromír Háček · 1×
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

14 of 14 papers shown
#Work
1 201914
2 202212
3 20189
4 20206
5 20235
6 20225
7 20215
8 20222
9
No Shoes, No Socks, More Service: An Introduction to Improve Diabetic Foot Care
20142
10 20251
11 20251
12 20221
13 20231
14 20180

About Ryan Sugarman

Ryan Sugarman is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 64 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (2 papers), Gastric Cancer Management and Outcomes (2 papers), Colorectal and Anal Carcinomas (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Oncology (27 citations), Gastroenterology (5 citations), Toxicology (2 citations), Genetics (5 citations) and Hematology (5 citations). Ryan Sugarman has collaborated with scholars based in United States. Frequent co-authors include Muhammad Wasif Saif, Johnson M. Liu, Hiep Nguyen, Sandhya Sharma, Dennis Plenker, David A. Tuveson, Andrea Cercek, Maria Widmar, Philip B. Paty and Michelle F. Lamendola-Essel. Their work appears in journals such as Journal of Clinical Oncology, Gastric Cancer, Journal of the American Academy of Dermatology, Clinical Therapeutics and Expert Opinion on Drug Metabolism & Toxicology.

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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