Yanping Gong

1.2k citations
24 papers · 696 indexed · h-index 13
    • Bacterial Identification and Susceptibility Testing 3
  • Microbiology top 10%
    • Reproductive tract infections research 2
    • Microbial infections and disease research 2
  • Neurology top 10%
    • Long-Term Effects of COVID-19 2
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 and COVID-19 Research 6
    • SARS-CoV-2 detection and testing 4
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment 2

Yanping Gong

23 papers receiving 690 citations

Peers

Yanping Gong
Comparison fields: 5 of 86
  • Clinical Biochemistry 79
  • Microbiology 8
  • Neurology 151
  • Infectious Diseases 145
  • Epidemiology 257
Replace Françoise Delisle with:
Françoise Delisle France
Christian Østergaard Denmark
Alejandra N. Martinez United States
Joshua C. Eby United States
Jean‐Paul Brion France
Jonathan L. Golob United States
K. Lynn Cates United States
K Oizumi Japan
Nancy H. Augustine United States
C M Kirkness United Kingdom
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Citations per year

Countries citing papers authored by Yanping Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20222
4 20214
5 202012
6 202029
7 202016
8 202023
9 201821
10 2016177
11 20155
12 201512
13 201596
14 20158
15 201422
16 201448
17 20147
18 20114
19
[The role of CXCL16 in immunological liver injury induced by BCG and LPS in mice].
20052
20 2002145

About Yanping Gong

Yanping Gong is a scholar working on Clinical Biochemistry, Infectious Diseases and Microbiology, having authored 24 papers that have together received 696 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Reproductive tract infections research (2 papers), Microbial infections and disease research (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Clinical Biochemistry (79 citations), Microbiology (8 citations) and Neurology (151 citations). Yanping Gong has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Honglong Wu, Yinxin Zhang, Ao Shen, Kazim A. Sheikh, Yoshiyuki Tagawa, Ronald L. Schnaar, Michael P. Lunn, Ruixue Sun, John W. Griffin and Wouter Laroy. Their work appears in journals such as PLoS ONE, Brain and Frontiers in Immunology.

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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