Ya Fu

418 citations
27 papers · 263 · h-index 9

Impact in

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

Papers in

    • Hepatitis B Virus Studies 16
    • Liver Disease Diagnosis and Treatment 14
    • Hepatitis C virus research 13
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver Disease and Transplantation 1

Ya Fu

24 papers receiving 259 citations

Peers

Ya Fu
Comparison fields: 5 of 44
  • Hepatology 83
  • Epidemiology 149
  • Infectious Diseases 39
  • Molecular Biology 92
  • Biological Psychiatry 3
Replace Yongbin Zeng with:
Yongbin Zeng China
Muhammad Shahid Pakistan
Yunjie Dan China
Xiaomei Xiang China
Sung Hyun Ahn South Korea
F Wolter Germany
Lian-san Zhao China
Dafei Wu China
Yanhang Gao China
Shifang Peng China
Ya Fu relative to Yongbin Zeng China Yongbin Zeng's profile →
Citations per field
00.5×1.5×
Yongbin Zeng · 1×
Citations per year

Countries citing papers authored by Ya Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 201930
3 202421
4 201917
5 202214
6 201912
7 202010
8 20239
9 20228
10 20227
11 20177
12 20177
13 20205
14 20223
15 20242
16 20132
17 20242
18
[Investigation on hepatitis G virus (HGV) infection among different populations in Shenzhen].
19972
19 20241
20 20241

About Ya Fu

Ya Fu is a scholar working on Epidemiology, Hepatology, Genetics, Immunology and Infectious Diseases, having authored 27 papers that have together received 263 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (16 papers), Liver Disease Diagnosis and Treatment (14 papers), Hepatitis C virus research (13 papers), Hemoglobinopathies and Related Disorders (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Liver Disease and Transplantation (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Hepatology (83 citations), Epidemiology (149 citations), Infectious Diseases (39 citations), Molecular Biology (92 citations) and Biological Psychiatry (3 citations). Ya Fu has collaborated with scholars based in China, Germany and Sudan. Frequent co-authors include Qishui Ou, Tianbin Chen, Yongbin Zeng, Wennan Wu, Jing Chen, Bin Yang, Siyi Xu, Ni Lin, Jinpiao Lin and Can Liu. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Emerging Microbes & Infections, Journal of Clinical Microbiology, Frontiers in Immunology and Clinica Chimica Acta.

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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