Ping Du

89 papers receiving 2.0k citations

Ping Du's Hit Papers

Epidemiology and outcomes of COVID-19 in HIV-infected individuals: a systematic review and meta-analysis 2021 · 183 citations
1830+1+3Years since publication50100150

Peers

Ping Du
Comparison fields: 5 of 151
  • Infectious Diseases 357
  • Applied Microbiology and Biotechnology 36
  • Modeling and Simulation 66
  • Physiology 323
  • Microbiology 73
Replace Michael S. Rogers with:
Michael S. Rogers Hong Kong
Fernanda S. Tonin Brazil
Milena Nasi Italy
Xu Liu China
Bernd Meibohm United States
Mohamad Aljofan Kazakhstan
Shasha Liu China
Yunqing Qiu China
Guogang Xu China
Davide Ferrari Italy
Ping Du relative to Michael S. Rogers Hong Kong Michael S. Rogers's profile →
Citations per field
00.5×6.1×
Michael S. Rogers · 1×
Citations per year

Countries citing papers authored by Ping Du

Since Specialization
Citations

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

Fields of papers citing papers by Ping Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology and outcomes of COVID-19 in HIV-infected individuals: a systematic review and meta-analysis
Hit paper breakdown →
2021183
2 2019171
3 2006107
4 201979
5 201367
6 201558
7 200656
8 201855
9 201553
10 199948
11 202047
12 201947
13 201545
14 202043
15 201039
16 202036
17 201135
18 201335
19 202134
20 201933

About Ping Du

Ping Du is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Physiology and Hepatology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), HIV, Drug Use, Sexual Risk (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Platelet Disorders and Treatments (6 papers), Reproductive tract infections research (6 papers), Smoking Behavior and Cessation (6 papers), HIV/AIDS Research and Interventions (5 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Infectious Diseases (357 citations), Applied Microbiology and Biotechnology (36 citations), Modeling and Simulation (66 citations), Physiology (323 citations) and Microbiology (73 citations). Ping Du has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Paddy Ssentongo, Vernon M. Chinchilli, Anna E. Ssentongo, Jintong Liu, Lei Zhang, Jianping Lei, Emily S. Heilbrunn, Hugh D. C. Smyth, Ju Du and Shailesh Advani. Their work appears in journals such as Sexually Transmitted Diseases, American Journal of Infection Control, Journal of Public Health Management and Practice, Current Developments in Nutrition and Journal of Pharmacology and Experimental Therapeutics.

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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