Ping Yan
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
Papers in
-
- COVID-19 epidemiological studies 22
- Epidemiology 21
- Data-Driven Disease Surveillance 14
- Co-authors
- Gerardo Chowell (9 shared papers)Kimberlyn Roosa (5 shared papers)James M. Hyman (3 shared papers)Richard Rothenberg (2 shared papers)Ruiyan Luo (2 shared papers)Alexander Kirpich (2 shared papers)Chris Archibald (6 shared papers)Fred T. Bosman (6 shared papers)
- Journals
- Mathematical Biosciences & Engineering (3 papers)Journal of Theoretical Biology (2 papers)Epidemics (2 papers)Influenza and Other Respiratory Viruses (2 papers)Infectious Disease Modelling (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Ping Yan
81 papers receiving 3.0k citations
Ping Yan's Hit Papers
Peers
Comparison fields: 5 of 161
- Modeling and Simulation 830
- Infectious Diseases 441
- Oncology 525
- Virology 88
- Hepatology 141
Countries citing papers authored by Ping Yan
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
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.
All Works
Showing the 20 most-cited of 84 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 → | 2014 | 493 |
| 2 | Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020 Hit paper breakdown → | 2020 | 437 |
| 3 | 2009 | 208 | |
| 4 | 2012 | 198 | |
| 5 | 1994 | 141 | |
| 6 | 2020 | 135 | |
| 7 | Estimates of HIV prevalence and incidence in Canada, 2005. | 2006 | 114 |
| 8 | 2014 | 112 | |
| 9 | 2010 | 108 | |
| 10 | 2020 | 85 | |
| 11 | 2015 | 85 | |
| 12 | 2013 | 82 | |
| 13 | 2007 | 74 | |
| 14 | 2012 | 64 | |
| 15 | 2007 | 56 | |
| 16 | Telomerase activity and human telomerase reverse transcriptase mRNA expression in soft tissue tumors: correlation with grade, histology, and proliferative activity. | 1999 | 50 |
| 17 | 2019 | 50 | |
| 18 | 2009 | 49 | |
| 19 | 2011 | 48 | |
| 20 | 2020 | 39 |
About Ping Yan
Ping Yan is a scholar working on Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Transportation, having authored 84 papers that have together received 3.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), Data-Driven Disease Surveillance (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Human Mobility and Location-Based Analysis (10 papers), Data Management and Algorithms (7 papers), Evolution and Genetic Dynamics (7 papers), Complex Network Analysis Techniques (7 papers) and Plasma Applications and Diagnostics (6 papers). The work is most often cited by research in Modeling and Simulation (830 citations), Infectious Diseases (441 citations), Oncology (525 citations), Virology (88 citations) and Hepatology (141 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, Richard Rothenberg, Ruiyan Luo, Alexander Kirpich, Chris Archibald, Fred T. Bosman, Mauro Delorenzi and A. Roth. Their work appears in journals such as Mathematical Biosciences & Engineering, Journal of Theoretical Biology, Epidemics, Influenza and Other Respiratory Viruses 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.