Yan Bi

2.1k citations
73 papers · 1.3k · h-index 19

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 27
    • Pancreatic function and diabetes 9
    • Helicobacter pylori-related gastroenterology studies 7
    • Gastrointestinal disorders and treatments 7
    • Pancreatic and Hepatic Oncology Research 20

Yan Bi

63 papers receiving 1.3k citations

Peers

Yan Bi
Comparison fields: 5 of 93
  • Hepatology 247
  • Surgery 695
  • Oncology 421
  • Epidemiology 351
  • Gastroenterology 38
Replace Giammarco Fava with:
Giammarco Fava Italy
Nadja Lehwald Germany
Akitaka Hisatomi Japan
Ivana Cataldo Italy
Ki Cheol Park South Korea
Tomohiro Kato Japan
Monica Curto Italy
Yutaka Yata Japan
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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014196
2 2009156
3 2014135
4 2001107
5 200850
6 201645
7 201743
8 201538
9 201538
10 200234
11 200534
12 200334
13 201933
14 201929
15 200529
16 201428
17 200925
18 202121
19 201620
20 202018

About Yan Bi

Yan Bi is a scholar working on Surgery, Oncology, Molecular Biology, Epidemiology and Hepatology, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (27 papers), Pancreatic and Hepatic Oncology Research (20 papers), Pancreatic function and diabetes (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Gastrointestinal disorders and treatments (7 papers), Signaling Pathways in Disease (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Hepatology (247 citations), Surgery (695 citations), Oncology (421 citations), Epidemiology (351 citations) and Gastroenterology (38 citations). Yan Bi has collaborated with scholars based in United States, China and India. 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, American Journal of Physiology-Gastrointestinal and Liver Physiology, Digestive Diseases and Sciences and American Journal of Physiology-Cell Physiology.

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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