Ping Yan

4.5k total citations · 1 hit paper
66 papers, 2.9k citations indexed

About

Ping Yan is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Ping Yan has authored 66 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 20 papers in Modeling and Simulation and 19 papers in Infectious Diseases. Recurrent topics in Ping Yan's work include COVID-19 epidemiological studies (20 papers), HIV/AIDS Research and Interventions (10 papers) and HIV, Drug Use, Sexual Risk (8 papers). Ping Yan is often cited by papers focused on COVID-19 epidemiological studies (20 papers), HIV/AIDS Research and Interventions (10 papers) and HIV, Drug Use, Sexual Risk (8 papers). Ping Yan collaborates with scholars based in Canada, United States and China. Ping Yan's co-authors include Gerardo Chowell, Kimberlyn Roosa, Chris Archibald, James M. Hyman, Richard Rothenberg, Alexander Kirpich, Ruiyan Luo, Fred T. Bosman, Sabine Tejpar and Mauro Delorenzi and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and JNCI Journal of the National Cancer Institute.

In The Last Decade

Ping Yan

65 papers receiving 2.8k citations

Hit Papers

Distal and proximal colon cancers differ in terms of mole... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ping Yan Canada 25 850 755 677 552 363 66 2.9k
William Ho United States 19 597 0.7× 521 0.7× 1.3k 1.9× 559 1.0× 118 0.3× 38 4.1k
Simon J. Watson United Kingdom 29 517 0.6× 953 1.3× 363 0.5× 1.8k 3.3× 145 0.4× 63 3.8k
Vivek Charu United States 20 517 0.6× 1.1k 1.5× 207 0.3× 352 0.6× 120 0.3× 75 2.1k
Marco Ciotti Italy 36 158 0.2× 1.5k 2.0× 1.2k 1.8× 1.1k 1.9× 129 0.4× 212 5.1k
Nicolas Voirin France 32 451 0.5× 1.4k 1.8× 199 0.3× 408 0.7× 56 0.2× 100 4.3k
Chorh Chuan Tan Singapore 21 928 1.1× 400 0.5× 225 0.3× 972 1.8× 37 0.1× 43 3.3k
Matthew T. McKenna United States 24 141 0.2× 839 1.1× 1.7k 2.5× 834 1.5× 636 1.8× 40 3.6k
Francesco Pappalardo Italy 30 342 0.4× 226 0.3× 251 0.4× 243 0.4× 145 0.4× 128 2.6k
Alain‐Jacques Valleron France 42 2.5k 2.9× 3.6k 4.7× 380 0.6× 1.4k 2.6× 125 0.3× 136 6.9k
Guangpu Yang China 14 1.0k 1.2× 196 0.3× 296 0.4× 752 1.4× 38 0.1× 31 2.1k

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-authorship network of co-authors of Ping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yan. A scholar is included among the top collaborators of Ping Yan 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 Yan. Ping Yan 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
1.
Zeng, Daniel, et al.. (2021). Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers. INFORMS journal on computing. 4 indexed citations
2.
Roosa, Kimberlyn, Ruiyan Luo, Alexander Kirpich, et al.. (2020). Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020. Infectious Disease Modelling. 5. 256–263. 408 indexed citations
3.
Tariq, Amna, Yiseul Lee, Kimberlyn Roosa, et al.. (2020). Real-time monitoring the transmission potential of COVID-19 in Singapore, March 2020. BMC Medicine. 18(1). 166–166. 82 indexed citations
4.
Yan, Ping. (2017). A frailty model for intervention effectiveness against disease transmission when implemented with unobservable heterogeneity. Mathematical Biosciences & Engineering. 15(1). 275–298. 3 indexed citations
5.
Yan, Ping. (2014). HIV-1 infection rate and its incidence among men who having sex with men at three cities in Fujian. 1 indexed citations
6.
Missiaglia, Edoardo, Bart Jacobs, Antonio Fabio Di Narzo, et al.. (2014). Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features. Annals of Oncology. 25(10). 1995–2001. 477 indexed citations breakdown →
8.
Yan, Ping, et al.. (2013). Questionnaires and of incidence rate about allergic rhinitis among children and teenagers in Xuhui district of shanghai. Zhongguo jiceng yiyao. 20(3). 343–346. 1 indexed citations
9.
Yan, Ping. (2012). Experimental Study on Nanosecond-pulse Diffuse Discharge in Atmospheric Air. Gao dianya jishu. 1 indexed citations
10.
Arino, Julien, Chris T. Bauch, Fred Brauer, et al.. (2011). Pandemic influenza: Modelling and public health perspectives. Mathematical Biosciences & Engineering. 8(1). 1–20. 14 indexed citations
11.
Nishiura, Hiroshi, et al.. (2011). Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks. Journal of Theoretical Biology. 294. 48–55. 46 indexed citations
12.
Wand, Handan, Ping Yan, David P. Wilson, et al.. (2010). Increasing HIV transmission through male homosexual and heterosexual contact in Australia: results from an extended back‐projection approach. HIV Medicine. 11(6). 395–403. 25 indexed citations
13.
Yan, Ping & Daniel Zeng. (2009). Spatial movement pattern discovery with LCS-based path similarity measure. Journal of the Association for Information Systems. 23. 2 indexed citations
14.
Moghadas, Seyed M., Nick J. Pizzi, Jian Wu, & Ping Yan. (2009). Managing public health crises: the role of models in pandemic preparedness. Influenza and Other Respiratory Viruses. 3(2). 75–79. 32 indexed citations
15.
Seelentag, Walter, et al.. (2009). Altered expression of CD44 and DKK1 in the progression of Barrett’s esophagus to esophageal adenocarcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 454(6). 629–637. 35 indexed citations
16.
Zhang, Shenghai, et al.. (2009). Transmissibility of the 1918 pandemic influenza in Montreal and Winnipeg of Canada. Influenza and Other Respiratory Viruses. 4(1). 27–31. 8 indexed citations
17.
Yan, Ping & Daniel Zeng. (2008). CLUSTERING CUSTOMER SHOPPING TRIPS WITH NETWORK STRUCTURE. Journal of the Association for Information Systems. 28. 4 indexed citations
18.
Alexander, Murray E., Zhilan Feng, Michael Gardam, et al.. (2007). Emergence of drug resistance: implications for antiviral control of pandemic influenza. Proceedings of the Royal Society B Biological Sciences. 274(1619). 1675–1684. 67 indexed citations
19.
Yan, Ping, et al.. (2006). Application of High Voltage and High Frequency AC Power in the Experimental Research of the Discharge Characteristics of Coaxial DBD Device. Gao dianya jishu. 2 indexed citations
20.
Archibald, Chris, Jason M. Sutherland, J Geduld, Donald Sutherland, & Ping Yan. (2003). Combining Data Sources to Monitor the HIV Epidemic in Canada. JAIDS Journal of Acquired Immune Deficiency Syndromes. 32. S24–S32. 8 indexed citations

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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