Hai Yun Shi

42 papers receiving 5.8k citations

Hai Yun Shi's Hit Papers

Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies 2017 · 4.4k citations
4.4k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Hai Yun Shi
Comparison fields: 5 of 126
  • Genetics 2.9k
  • Gastroenterology 338
  • Epidemiology 999
  • Immunology 556
  • Molecular Biology 1.5k
Replace Whitney Tang with:
Whitney Tang Hong Kong
Justin C. Wu Hong Kong
Michael Fried Switzerland
Joana Torres Portugal
Johan Van Limbergen Canada
Alan C. Moss United States
Natalie A. Molodecky Switzerland
Ryan C. Ungaro United States
Makoto Naganuma Japan
Miquel Sans Spain
Hai Yun Shi relative to Whitney Tang Hong Kong Whitney Tang's profile →
Citations per field
00.5×5.1×
Whitney Tang · 1×
Citations per year

Countries citing papers authored by Hai Yun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hai Yun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Yun Shi. 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 Hai Yun Shi. The network helps show where Hai Yun Shi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies
Hit paper breakdown →
20174432
2
The Worldwide Incidence and Prevalence of Inflammatory Bowel Disease in the 21st Century: A Systematic Review of Population-Based Studies
Hit paper breakdown →
2017456
3 2016112
4 201793
5 200390
6 201080
7 200849
8 200941
9 200839
10 201437
11 201035
12 202134
13 201734
14 201832
15 201728
16 200928
17 201327
18 200922
19 201020
20 201219

About Hai Yun Shi

Hai Yun Shi is a scholar working on Molecular Biology, Genetics, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 44 papers that have together received 5.8k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (10 papers), Mechanisms of cancer metastasis (6 papers), Microscopic Colitis (4 papers), Cancer Mechanisms and Therapy (3 papers), Cancer Research and Treatments (3 papers), Ferroptosis and cancer prognosis (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Genetics (2.9k citations), Gastroenterology (338 citations), Epidemiology (999 citations), Immunology (556 citations) and Molecular Biology (1.5k citations). Hai Yun Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Siew C. Ng, Francis K.L. Chan, Joseph J.�Y. Sung, Whitney Tang, Justin C. Wu, Fox E. Underwood, Eric I. Benchimol, Gilaad G. Kaplan, Subrata Ghosh and Remo Panaccione. Their work appears in journals such as Medical Oncology, Cancer Science, Gastroenterology, Journal of Crohn s and Colitis and 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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