Yan Bi

2.2k citations
77 papers · 1.4k · h-index 20

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Surgery top 5%
    • Pancreatitis Pathology and Treatment
    • Pancreatic function and diabetes

Papers in

    • Pancreatitis Pathology and Treatment 22
    • Helicobacter pylori-related gastroenterology studies 7
    • Pancreatic function and diabetes 4
    • Pancreatic and Hepatic Oncology Research 16

Yan Bi

64 papers receiving 1.3k citations

Peers

Yan Bi
Comparison fields: 5 of 91
  • Hepatology 229
  • Surgery 611
  • Oncology 342
  • Epidemiology 288
  • Cancer Research 84
Replace Giammarco Fava with:
Giammarco Fava Italy
Isabel Zvibel Israel
Xinping Tan United States
Akitaka Hisatomi Japan
Alain Vonlaufen Australia
Paola Brescia Italy
Toshiki Rikiyama Japan
Yutaka Yata Japan
Haofeng Ji United States
Yan Bi relative to Giammarco Fava Italy Giammarco Fava's profile →
Citations per field
00.5×2.8×
Giammarco Fava · 1×
Citations per year

Countries citing papers authored by Yan Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014199
2 2009157
3 2014138
4 2001106
5 200849
6 201647
7 201745
8 201538
9 201538
10 200234
11 200534
12 200334
13 201933
14 201931
15 200529
16 201428
17 200925
18 202122
19 201621
20 202020

About Yan Bi

Yan Bi is a scholar working on Surgery, Oncology, Molecular Biology, Epidemiology and Hepatology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (22 papers), Pancreatic and Hepatic Oncology Research (16 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (4 papers), IgG4-Related and Inflammatory Diseases (4 papers), Neuropeptides and Animal Physiology (4 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Hepatology (229 citations), Surgery (611 citations), Oncology (342 citations), Epidemiology (288 citations) and Cancer Research (84 citations). Yan Bi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Baoan Ji, Craig D. Logsdon, John A. Williams, Richard M. Mortensen, Vijay H. Shah, Douglas A. Simonetto, Liu Yang, Diane M. Simeone, Sebastian Gaiser and Suresh T. Chari. Their work appears in journals such as Pancreatology, Gastroenterology, Digestive Diseases and Sciences, American Journal of Physiology-Gastrointestinal and Liver Physiology and Pancreas.

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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