Ze‐Ya Pan

2.8k citations
55 papers · 2.1k · h-index 22

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 25
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 2

Ze‐Ya Pan

53 papers receiving 2.0k citations

Peers

Ze‐Ya Pan
Comparison fields: 5 of 76
  • Hepatology 965
  • Cancer Research 341
  • Epidemiology 448
  • Oncology 360
  • Immunology 216
Replace Hanako Tsujikawa with:
Hanako Tsujikawa Japan
Shunli Shen China
Yong Yi China
Po‐Lin Lai Taiwan
Jiliang Qiu China
Janina E. E. Tirnitz‐Parker Australia
Yoshiyuki Kobayashi Japan
Ningling Ge China
Yutaka Kurebayashi Japan
Olivier Bluteau France
Ze‐Ya Pan relative to Hanako Tsujikawa Japan Hanako Tsujikawa's profile →
Citations per field
00.5×2×4×6×7.4×
Hanako Tsujikawa · 1×
Citations per year

Countries citing papers authored by Ze‐Ya Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ze‐Ya Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014239
2 2010226
3 2013193
4 2009162
5 2014156
6 201899
7 201297
8 200876
9 201466
10 200952
11 201750
12 201447
13 200738
14 201435
15 201232
16 201431
17 201729
18 201827
19 202026
20 201324

About Ze‐Ya Pan

Ze‐Ya Pan is a scholar working on Hepatology, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), RNA Research and Splicing (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Hepatology (965 citations), Cancer Research (341 citations), Epidemiology (448 citations), Oncology (360 citations) and Immunology (216 citations). Ze‐Ya Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weiping Zhou, Wan Yee Lau, Yuan Yang, Mengchao Wu, Eric C. H. Lai, Gang Huang, Siyuan Fu, Weiping Zhou, Aijun Li and Shengxian Yuan. Their work appears in journals such as Annals of Surgery, Oncotarget, Journal of Gastrointestinal Surgery, Hepatology and Molecular Oncology.

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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