Yu Teng

864 total citations
14 papers, 434 citations indexed

About

Yu Teng is a scholar working on Epidemiology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Yu Teng has authored 14 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 3 papers in Sociology and Political Science. Recurrent topics in Yu Teng's work include HIV/AIDS Research and Interventions (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and Urinary Tract Infections Management (3 papers). Yu Teng is often cited by papers focused on HIV/AIDS Research and Interventions (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and Urinary Tract Infections Management (3 papers). Yu Teng collaborates with scholars based in United States, Switzerland and China. Yu Teng's co-authors include John Stover, Robert Glaubius, Timothy B. Hallett, Andrew Phillips, Rowan Martin‐Hughes, Sherrie L. Kelly, Debra ten Brink, Loveleen Bansi‐Matharu, Anna Bershteyn and Meg Doherty and has published in prestigious journals such as PLoS ONE, PLoS Medicine and Frontiers in Microbiology.

In The Last Decade

Yu Teng

12 papers receiving 424 citations

Peers

Yu Teng
Edinah Mudimu South Africa
Debra ten Brink Australia
Newton Chagoma United Kingdom
Yukteshwar Sookrajh South Africa
Thokozani Khubone South Africa
Robert Glaubius United States
Yu Teng
Citations per year, relative to Yu Teng Yu Teng (= 1×) peers Rowan Martin‐Hughes

Countries citing papers authored by Yu Teng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Teng. A scholar is included among the top collaborators of Yu Teng 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 Yu Teng. Yu Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Teng, Yu & Chuanhao Tian. (2025). Political incentives and local connections: the impact of mayor characteristics on the provision of public goods. Journal of Chinese Governance. 10(3). 367–393. 1 indexed citations
3.
Wang, Xinran, Chaomin Zhu, Yang Yao, et al.. (2025). Polyphenolic Profiles, Antioxidant and α‐Glucosidase Inhibitory Activities of Three SmallFruited Apple Cultivars From Northeast China. Journal of Food Science. 90(9). e70551–e70551.
4.
Wang, Zhaohua, et al.. (2024). Causal association between gut microbiota and fibromyalgia: a Mendelian randomization study. Frontiers in Microbiology. 14. 1305361–1305361. 8 indexed citations
5.
Korenromp, Eline L., Keith Sabin, John Stover, et al.. (2024). New HIV Infections Among Key Populations and Their Partners in 2010 and 2022, by World Region: A Multisources Estimation. JAIDS Journal of Acquired Immune Deficiency Syndromes. 95(1S). e34–e45. 32 indexed citations
6.
Mili, Fatima, Yu Teng, Ray W. Shiraishi, et al.. (2021). New HIV infections from blood transfusions averted in 28 countries supported by PEPFAR blood safety programs, 2004‐2015. Transfusion. 61(3). 851–861. 3 indexed citations
7.
Stover, John, Robert Glaubius, Yu Teng, et al.. (2021). Modeling the epidemiological impact of the UNAIDS 2025 targets to end AIDS as a public health threat by 2030. PLoS Medicine. 18(10). e1003831–e1003831. 48 indexed citations
8.
Jewell, Britta L., Edinah Mudimu, John Stover, et al.. (2020). Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models. The Lancet HIV. 7(9). e629–e640. 277 indexed citations
9.
Kasaie, Parastu, Brian W. Weir, Melissa Schnure, et al.. (2020). Integrated screening and treatment services for HIV, hypertension and diabetes in Kenya: assessing the epidemiological impact and cost‐effectiveness from a national and regional perspective. Journal of the International AIDS Society. 23(S1). e25499–e25499. 21 indexed citations
10.
Tian, Chuanhao, et al.. (2020). Resource flow or yardstick competition: spatial dependence of educational expenditure among prefecture-level cities. International Public Management Journal. 24(5). 691–709. 5 indexed citations
12.
Teng, Yu, Nan Kong, & Wanzhu Tu. (2015). Optimizing strategies for population-based chlamydia infection screening among young women: an age-structured system dynamics approach. BMC Public Health. 15(1). 639–639. 10 indexed citations
13.
Teng, Yu, Nan Kong, & Wanzhu Tu. (2014). Estimating age-dependent per-encounter chlamydia trachomatis acquisition risk via a Markov-based state-transition model. PubMed. 4(1). 7–7. 2 indexed citations
14.
Teng, Yu, Lanshan Han, Wanzhu Tu, & Nan Kong. (2011). Optimizing coverage for a Chlamydia trachomatis screening program. 531–536. 3 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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