Jin-ye Yang

1.0k citations
23 papers · 834 · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Hepatitis C virus research 6
    • Hepatitis B Virus Studies 10
    • HIV, Drug Use, Sexual Risk 4
    • Liver Disease Diagnosis and Treatment 4

Jin-ye Yang

22 papers receiving 796 citations

Peers

Jin-ye Yang
Comparison fields: 5 of 61
  • Hepatology 264
  • Virology 112
  • Epidemiology 600
  • Infectious Diseases 218
  • Agronomy and Crop Science 35
Replace Giuseppina Cappiello with:
Giuseppina Cappiello Italy
Sanaullah Khan Pakistan
Jaye P. Brodsky United States
Beatriz Cabot Spain
Joanne D. Rush United States
J. Chotard France
Azumi Ishizaki Japan
Ulrike C. Wend Germany
Pieter Jooste South Africa
John E. Spelbring United States
Jin-ye Yang relative to Giuseppina Cappiello Italy Giuseppina Cappiello's profile →
Citations per field
00.5×2×3×4×5×
Giuseppina Cappiello · 1×
Citations per year

Countries citing papers authored by Jin-ye Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jin-ye Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-ye Yang. 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 Jin-ye Yang. The network helps show where Jin-ye Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 1999106
3 200894
4 200888
5 199979
6 200850
7 201043
8 200240
9 200036
10 200628
11 200128
12 201226
13 199926
14 201416
15 201311
16 20149
17 20137
18 20246
19 20224
20 20153

About Jin-ye Yang

Jin-ye Yang is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Virology and Parasitology, having authored 23 papers that have together received 834 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (6 papers), HIV, Drug Use, Sexual Risk (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Viral Infections and Vectors (3 papers), HIV/AIDS drug development and treatment (3 papers), Mosquito-borne diseases and control (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Hepatology (264 citations), Virology (112 citations), Epidemiology (600 citations), Infectious Diseases (218 citations) and Agronomy and Crop Science (35 citations). Jin-ye Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhong‐Liao Fang, Tim J. Harrison, Xueyan Wang, Caroline Anne Sabin, Qin-Yan Chen, Rongcheng Li, Jian Gong, Shenghan Lai, Baiqing Dong and Hui Li. Their work appears in journals such as Journal of Medical Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Vaccine, American Journal of Tropical Medicine and Hygiene and Liver International.

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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