Sam C. Wang

6.4k citations
118 papers · 5.2k · h-index 36

Impact in

Papers in

Sam C. Wang

111 papers receiving 5k citations

Peers

Sam C. Wang
Comparison fields: 5 of 138
  • Oncology 2k
  • Cancer Research 321
  • Hepatology 180
  • Health Informatics 38
  • Aging 25
Replace Gabriel K. Griffin with:
Gabriel K. Griffin United States
Bernhard Willibald Renz Germany
Mark Andrew Lee United States
Jean‐Christophe Saurin France
Lincoln D. Nadauld United States
Semanti Mukherjee United States
Amy Chen United States
Barbara Hero Germany
Kaiyo Takubo Japan
Andrew Feber United Kingdom
Sam C. Wang relative to Gabriel K. Griffin United States Gabriel K. Griffin's profile →
Citations per field
00.5×2×3×3.8×
Gabriel K. Griffin · 1×
Citations per year

Countries citing papers authored by Sam C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sam C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam C. Wang. 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 Sam C. Wang. The network helps show where Sam C. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010465
2 2011443
3 2016339
4 2010314
5 2017209
6 2019188
7 2003161
8 2003158
9 2004137
10 2015133
11 2016133
12 2010114
13 2017111
14 200095
15 200495
16 200894
17 201694
18 202290
19 201280
20 201979

About Sam C. Wang

Sam C. Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hepatology, Surgery and Epidemiology, having authored 118 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (30 papers), Gastric Cancer Management and Outcomes (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Esophageal Cancer Research and Treatment (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Global Cancer Incidence and Screening (4 papers) and Healthcare Quality and Management (3 papers). The work is most often cited by research in Oncology (2k citations), Cancer Research (321 citations), Hepatology (180 citations), Health Informatics (38 citations) and Aging (25 citations). Sam C. Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Matthias Hebrok, John P. Morris, Matthew R. Porembka, Adam Charles Yopp, Patricio Marcelo Polanco, John C. Mansour, Michael A. Choti, Mathew M. Augustine, Rebecca Manget Minter and Shigeki Sekine. Their work appears in journals such as Annals of Surgical Oncology, Journal of Gastrointestinal Surgery, Journal of Surgical Oncology, Journal of the American College of Surgeons and HPB.

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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