Yu Pan

1.1k citations
47 papers · 826 · h-index 16

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 13
    • Hepatitis B Virus Studies 10
    • Liver Disease Diagnosis and Treatment 5

Yu Pan

47 papers receiving 819 citations

Peers

Yu Pan
Comparison fields: 5 of 94
  • Hepatology 283
  • Epidemiology 281
  • Immunology 138
  • Cancer Research 92
  • Virology 25
Replace Weibing Qin with:
Weibing Qin China
Ruhui Tian China
David B. Webster United States
Djamel Nehar-Belaid United States
Elisa Forti Italy
Francesco Borrelli Italy
Eulalia Catamo Italy
Sha Zhou China
Ruiqin Han China
Maud Thérésine Luxembourg
Yu Pan relative to Weibing Qin China Weibing Qin's profile →
Citations per field
00.5×2×4×6.3×
Weibing Qin · 1×
Citations per year

Countries citing papers authored by Yu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201580
3 201166
4 201958
5 201453
6 201545
7 201739
8 201530
9 201729
10 201628
11 202126
12 202123
13
Mutational analysis of ATP7B in Chinese Wilson disease patients.
201622
14 202018
15 201917
16 201615
17 202114
18 202213
19 202111
20 202111

About Yu Pan

Yu Pan is a scholar working on Hepatology, Epidemiology, Molecular Biology, Immunology and Cancer Research, having authored 47 papers that have together received 826 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Histone Deacetylase Inhibitors Research (3 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Hepatology (283 citations), Epidemiology (281 citations), Immunology (138 citations), Cancer Research (92 citations) and Virology (25 citations). Yu Pan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junqi Niu, Xiumei Chi, Jing Jiang, Xiaodong Shi, Jin Zhong, Bing Sun, Yanfang Jiang, Yanhang Gao, Juan Lv and Xiuzhu Gao. Their work appears in journals such as Scientific Reports, Liver International, BMC Public Health, PLoS ONE and Journal of Gastroenterology and Hepatology.

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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