Ying Gu

4.9k citations
128 papers · 2.9k indexed · h-index 28

Impact in

  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology

Papers in

    • HIV Research and Treatment 12
    • Hepatitis Viruses Studies and Epidemiology 17

Ying Gu

125 papers receiving 2.8k citations

Peers

Ying Gu
Comparison fields: 5 of 145
  • Hepatology 557
  • Infectious Diseases 643
  • Virology 112
  • Immunology 482
  • Molecular Biology 1.2k
Replace Ping Zhao with:
Ping Zhao China
Sun Park South Korea
Kenneth Ng Canada
Hisafumi Yamada‐Okabe Japan
Mamta Chawla‐Sarkar India
Curtis R. Chong United States
Carol Hopkins Sibley United States
D W McCourt United States
Craig P. Webb United States
Hong Xie United States
Ying Gu relative to Ping Zhao China Ping Zhao's profile →
Citations per field
00.5×1.5×
Ping Zhao · 1×
Citations per year

Countries citing papers authored by Ying Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20242
4 20246
5 202223
6 20227
7 20225
8 20214
9 20206
10 20193
11 20199
12 20187
13 201530
14 201418
15 201218
16
The Study of the Correlation to the Job Satisfaction and Organizational Commitment of the Knowledge Worker——An Example of technology enterprises in Xi'an Hi-tech industry Development Zone
20102
17 2003137
18 200370
19 200143
20 200055

About Ying Gu

Ying Gu is a scholar working on Virology, Hepatology, Infectious Diseases, Epidemiology and Animal Science and Zoology, having authored 128 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (17 papers), Viral gastroenteritis research and epidemiology (17 papers), Bacteriophages and microbial interactions (13 papers), Cervical Cancer and HPV Research (13 papers), HIV Research and Treatment (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Hepatitis B Virus Studies (11 papers) and Virus-based gene therapy research (10 papers). The work is most often cited by research in Hepatology (557 citations), Infectious Diseases (643 citations), Virology (112 citations), Immunology (482 citations) and Molecular Biology (1.2k citations). Ying Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ningshao Xia, Shaowei Li, Jun Zhang, Guang Wu, Shundai Li, Zhenbiao Yang, Wendong Huang, Zhong‐Nan Yang, Ying Fu and Vanessa Vernoud. Their work appears in journals such as Vaccine, Nature Communications, Viruses, Sustainability and Oncotarget.

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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