Ping An

4.5k total citations
76 papers, 2.5k citations indexed

About

Ping An is a scholar working on Molecular Biology, Virology and Epidemiology. According to data from OpenAlex, Ping An has authored 76 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Virology and 23 papers in Epidemiology. Recurrent topics in Ping An's work include HIV Research and Treatment (23 papers), Hepatitis B Virus Studies (14 papers) and HIV/AIDS drug development and treatment (13 papers). Ping An is often cited by papers focused on HIV Research and Treatment (23 papers), Hepatitis B Virus Studies (14 papers) and HIV/AIDS drug development and treatment (13 papers). Ping An collaborates with scholars based in United States, China and South Africa. Ping An's co-authors include Cheryl A. Winkler, Stephen J. O’Brien, George W. Nelson, Sharyne Donfield, James J. Goedert, Susan Buchbinder, Gregory D. Kirk, John Phair, Zheng Zeng and David Vlahov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ping An

75 papers receiving 2.5k citations

Peers

Ping An
Comparison fields: 5 of 129
  • Epidemiology 755
  • Virology 750
  • Molecular Biology 701
  • Immunology 636
  • Infectious Diseases 550
Replace Donald D. Anthony with:
Donald D. Anthony United States
Thomas Harrer Germany
Bo Peng China
Maria Isaguliants Russia
S. Rossol Germany
Ranjit Ray United States
Keith Meyer United States
Nicole Israël France
Yong Lin China
Michael R. Beard Australia
Donald D. Anthony United States View profile →
Citations per field, relative to Ping An
Ping An · 1×
Citations per year, relative to Ping An
Ping An · 1×

Countries citing papers authored by Ping An

Since Specialization
Citations

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

Fields of papers citing papers by Ping An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping An

This figure shows the co-authorship network connecting the top 25 collaborators of Ping An. A scholar is included among the top collaborators of Ping An based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ping An. Ping An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 17
3 17
4 7
5 5
6
Women May Play a More Important Role in the Transmission of the Corona Virus Disease (COVID-19) than Men
6
7 102
8 15
9 22
10 57
11 43
12 19
13 25
14
Effects of cell membrane phospholipid level and protein kinase C isoenzyme expression on hepatic metastasis of colorectal carcinoma.
7
15 32
16 153
17
Genetic heterogeneity and molecular epidemiology of GB virus C/hepatitis G virus in China.
1
18 18
19 63
20
Evolutionary Analysis of the 5'-Terminal Region of Hepatitis G Virus Isolated From Different Regions in China
1

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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