Ping Yan

65 papers receiving 2.8k citations

Hit Papers

Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features 2014 · 477 citations
4772014202620182022100200300400

Peers

Ping Yan
Comparison fields: 5 of 161
  • Modeling and Simulation 850
  • Infectious Diseases 552
  • Virology 131
  • Oncology 677
  • Hepatology 177
Replace Alain‐Jacques Valleron with:
Alain‐Jacques Valleron France
Gregory S. Zaric Canada
Matthew T. McKenna United States
William Ho United States
Nicolas Voirin France
N. R. Ling United Kingdom
Clemens‐Martin Wendtner Germany
Lin Wang China
Daniela De Angelis United Kingdom
Gul Zaman Pakistan
Ping Yan relative to Alain‐Jacques Valleron France Alain‐Jacques Valleron's profile →
Citations per field
00.5×1.5×1.8×
Alain‐Jacques Valleron · 1×
Citations per year

Countries citing papers authored by Ping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features
Hit paper breakdown →
2014477
2 2020408
3 2009200
4 2012189
5 1994138
6 2020126
7
Estimates of HIV prevalence and incidence in Canada, 2005.
2006113
8 2014110
9 2010106
10 202082
11 201582
12 201380
13 200767
14 201259
15
Telomerase activity and human telomerase reverse transcriptase mRNA expression in soft tissue tumors: correlation with grade, histology, and proliferative activity.
199950
16 200949
17 201146
18 201946
19 202036
20 200935

About Ping Yan

Ping Yan is a scholar working on Modeling and Simulation, Virology, Infectious Diseases, Transportation and Epidemiology, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), HIV/AIDS Research and Interventions (10 papers), HIV, Drug Use, Sexual Risk (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Data-Driven Disease Surveillance (7 papers), HIV Research and Treatment (7 papers), Viral Infections and Outbreaks Research (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Modeling and Simulation (850 citations), Infectious Diseases (552 citations), Virology (131 citations), Oncology (677 citations) and Hepatology (177 citations). Ping Yan has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Gerardo Chowell, Kimberlyn Roosa, James M. Hyman, Chris Archibald, Alexander Kirpich, Richard Rothenberg, Ruiyan Luo, Fred T. Bosman, A. Roth and Sabine Tejpar. Their work appears in journals such as Mathematical Biosciences & Engineering, Annals of Oncology, Influenza and Other Respiratory Viruses, Journal of the Association for Information Systems and Infectious Disease Modelling.

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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