Patrick Chang

33 papers receiving 536 citations

Peers

Patrick Chang
Comparison fields: 5 of 97
  • Complementary and alternative medicine 128
  • Hepatology 42
  • Oncology 134
  • Emergency Medicine 35
  • Epidemiology 121
Replace Byung‐Hee Koh with:
Byung‐Hee Koh South Korea
Wei-Chun Lin United States
Kenan Yalta Türkiye
Stefano Benedini Italy
Qianqian Li China
Tarek M. Mostafa Egypt
Wiro B. Stam Netherlands
Valentina Parisi Italy
Hikaru Aoki Japan
Tianqi Zhang China
Patrick Chang relative to Byung‐Hee Koh South Korea Byung‐Hee Koh's profile →
Citations per field
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Byung‐Hee Koh · 1×
Citations per year

Countries citing papers authored by Patrick Chang

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198298
2 201880
3 199547
4 199344
5 198136
6 199536
7 199336
8 202130
9 201123
10 201017
11 201917
12 202116
13 201712
14 20229
15 20249
16 20169
17 20248
18
Tumor factors associated with clinical outcomes in patients with hepatitis B virus infection and hepatocellular carcinoma.
20127
19 20235
20 20245

About Patrick Chang

Patrick Chang is a scholar working on Surgery, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Hepatology, having authored 40 papers that have together received 563 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (5 papers), Esophageal and GI Pathology (4 papers), Gastric Cancer Management and Outcomes (4 papers), Hepatitis C virus research (4 papers), Acupuncture Treatment Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Complementary and alternative medicine (128 citations), Hepatology (42 citations), Oncology (134 citations), Emergency Medicine (35 citations) and Epidemiology (121 citations). Patrick Chang has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include William H. Knapper, Arthur Margolin, S. Kelly Avants, Thomas R. Kosten, Fadi F. Attiyeh, Stephen Birch, Thomas R. Kosten, Myron J. Tong, Elizabeth Selvin and Eric Boerwinkle. Their work appears in journals such as Journal of Clinical Gastroenterology, Journal of General Internal Medicine, Gastrointestinal Endoscopy, The American Journal of Chinese Medicine and The American Journal of Gastroenterology.

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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