Yuan‐Ping Han

3.4k citations
60 papers · 2.5k indexed · h-index 27

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Wound Healing and Treatments

Papers in

Yuan‐Ping Han

57 papers receiving 2.5k citations

Peers

Yuan‐Ping Han
Comparison fields: 5 of 119
  • Hepatology 487
  • Rehabilitation 286
  • Epidemiology 640
  • Immunology 334
  • Cancer Research 234
Replace S Peyrol with:
S Peyrol France
Shuhji Seki Japan
Hiroyuki Yoneyama Japan
Kang Liu China
Corinna Lebherz Germany
Pedro Majano Spain
Carol de la Motte United States
Patrick A. Adegboyega United States
Kiseok Jang South Korea
Hikaru Nishio Japan
Yuan‐Ping Han relative to S Peyrol France S Peyrol's profile →
Citations per field
00.5×4.4×
S Peyrol · 1×
Citations per year

Countries citing papers authored by Yuan‐Ping Han

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Ping Han. 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 Yuan‐Ping Han. The network helps show where Yuan‐Ping Han may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202313
4 202211
5 20224
6 20212
7 20215
8 20203
9 201441
10 201083
11 2010224
12 2008178
13 200847
14 200776
15 2007184
16 2006126
17 200522
18 2004119
19 200256
20 199919

About Yuan‐Ping Han

Yuan‐Ping Han is a scholar working on Hepatology, Rehabilitation, Epidemiology, Molecular Biology and Biological Psychiatry, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Vitamin D Research Studies (7 papers), Pancreatitis Pathology and Treatment (6 papers), Diet and metabolism studies (6 papers), Protease and Inhibitor Mechanisms (6 papers), Gut microbiota and health (6 papers) and Wound Healing and Treatments (5 papers). The work is most often cited by research in Hepatology (487 citations), Rehabilitation (286 citations), Epidemiology (640 citations), Immunology (334 citations) and Cancer Research (234 citations). Yuan‐Ping Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include W.L. Garner, Chunli Yan, Qin Lan, Hidekazu Tsukamoto, Shigang Xiong, Jiaohong Wang, Ling Zhou, M.C. Shaw, Stephen J. Pandol and Sujun Zheng. Their work appears in journals such as Frontiers in Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Biological Chemistry, Wound Repair and Regeneration and American Journal Of Pathology.

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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