Yang Ding

777 citations
35 papers · 494 · h-index 15

Impact in

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

Papers in

    • Hepatitis B Virus Studies 17
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis C virus research 13
    • Hepatitis Viruses Studies and Epidemiology 5
    • Liver physiology and pathology 2
    • Liver Disease and Transplantation 2

Yang Ding

35 papers receiving 486 citations

Peers

Yang Ding
Comparison fields: 5 of 67
  • Hepatology 310
  • Epidemiology 345
  • Infectious Diseases 55
  • Cancer Research 33
  • Oncology 48
Replace Norman Junge with:
Norman Junge Germany
J.F. Castroagudı́n Spain
Barbara Guerrera Italy
Nidah S. Khakoo United States
M Favret Italy
Zhiliang Gao China
Ki Jun Han South Korea
S. Bignulin Italy
Toshie Mashiba Japan
Masakuni Tateyama Japan
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Citations per field
00.5×
Norman Junge · 1×
Citations per year

Countries citing papers authored by Yang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201347
3 202035
4 202032
5 201532
6 201930
7 201729
8 202327
9 201826
10 201622
11 202320
12 201920
13 202018
14 202018
15 201116
16 201814
17 20198
18 20207
19 20226
20 20235

About Yang Ding

Yang Ding is a scholar working on Epidemiology, Hepatology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 35 papers that have together received 494 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (17 papers), Hepatitis C virus research (13 papers), Liver Disease Diagnosis and Treatment (11 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Cancer, Lipids, and Metabolism (2 papers), HIV/AIDS Research and Interventions (2 papers), Liver physiology and pathology (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (310 citations), Epidemiology (345 citations), Infectious Diseases (55 citations), Cancer Research (33 citations) and Oncology (48 citations). Yang Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qiuju Sheng, Xiaoguang Dou, Li Ma, Guorong Han, Xin Yue, Xiangmei Chen, Ying Chang, Yu-Yu Wu, Xingxing He and Hong Jiang. Their work appears in journals such as International Journal of Medical Sciences, Medicine, Virology Journal, Food & Function and Journal of Viral Hepatitis.

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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