Yan Jiang

1.2k total citations
60 papers, 869 citations indexed

About

Yan Jiang is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Yan Jiang has authored 60 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Infectious Diseases, 39 papers in Virology and 28 papers in Epidemiology. Recurrent topics in Yan Jiang's work include HIV Research and Treatment (39 papers), HIV/AIDS Research and Interventions (33 papers) and HIV, Drug Use, Sexual Risk (19 papers). Yan Jiang is often cited by papers focused on HIV Research and Treatment (39 papers), HIV/AIDS Research and Interventions (33 papers) and HIV, Drug Use, Sexual Risk (19 papers). Yan Jiang collaborates with scholars based in China, United States and Taiwan. Yan Jiang's co-authors include Manhong Jia, Lin Lü, Yanling Ma, David D. Ho, Linqi Zhang, Zhiwei Chen, Li Yang, Jun Yao, Wenge Xing and Sten H. Vermund and has published in prestigious journals such as Nature, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Yan Jiang

59 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Jiang China 16 653 487 427 142 88 60 869
Françoise Cazein France 15 773 1.2× 594 1.2× 423 1.0× 199 1.4× 55 0.6× 32 960
Adrian Palfreeman United Kingdom 14 788 1.2× 582 1.2× 315 0.7× 105 0.7× 59 0.7× 27 1.1k
Paz Sobrino‐Vegas Spain 15 547 0.8× 405 0.8× 275 0.6× 54 0.4× 74 0.8× 22 724
Ocean Tobaiwa United States 14 454 0.7× 225 0.5× 271 0.6× 53 0.4× 41 0.5× 22 649
Anders Sönnerborg Sweden 10 508 0.8× 397 0.8× 269 0.6× 49 0.3× 53 0.6× 16 638
Dorthe Raben Denmark 13 581 0.9× 535 1.1× 309 0.7× 83 0.6× 67 0.8× 30 758
Hamish McManus Australia 15 351 0.5× 378 0.8× 137 0.3× 99 0.7× 96 1.1× 58 706
Laura Sighinolfi Italy 20 663 1.0× 329 0.7× 445 1.0× 28 0.2× 116 1.3× 56 1.2k
Manuela Bonmarchand France 13 512 0.8× 337 0.7× 406 1.0× 49 0.3× 31 0.4× 18 852
Burc Barin United States 15 514 0.8× 364 0.7× 96 0.2× 87 0.6× 138 1.6× 32 723

Countries citing papers authored by Yan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Jiang. A scholar is included among the top collaborators of Yan Jiang 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 Yan Jiang. Yan Jiang 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.
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3.
Gao, Jiaqi, et al.. (2021). Fifteen years of the proficiency testing program for HIV-1 viral load testing laboratories in China, 2005-2019. Journal of Clinical Virology. 142. 104911–104911. 3 indexed citations
4.
Wang, Yikui, Jing Liu, Xing Duan, et al.. (2020). Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention. International Journal of Infectious Diseases. 101. 131–137. 10 indexed citations
5.
Ren, Yanan, et al.. (2020). An efficient method for simultaneously screening for HIV, syphilis, and HCV based on one dried blood spot sample. Antiviral Research. 181. 104775–104775. 13 indexed citations
6.
Chen, Kai, et al.. (2019). HIV DNA Measurement and Improved Detection of HIV Infection Among Men Who Have Sex with Men: A Strategic Implication. AIDS Research and Human Retroviruses. 35(10). 920–923. 1 indexed citations
7.
Yu, Fengjiao, Yujie Wen, Jibao Wang, et al.. (2018). The Transmission and Evolution of HIV-1 Quasispecies within One Couple: a Follow-up Study based on Next-Generation Sequencing. Scientific Reports. 8(1). 1404–1404. 21 indexed citations
8.
Yan, Hao, X Y Feng, Maofeng Qiu, et al.. (2016). Development of a New Limiting-Antigen Avidity Dot Immuno-Gold Filtration Assay for HIV-1 Incidence. PLoS ONE. 11(8). e0161183–e0161183. 4 indexed citations
9.
Zhao, Qi, Chen Zhang, Yan Jiang, et al.. (2015). Short Communication: Investigating a Chain of HIV Transmission Events Due to Homosexual Exposure and Blood Transfusion Based on a Next Generation Sequencing Method. AIDS Research and Human Retroviruses. 31(12). 1225–1229. 2 indexed citations
10.
Tao, Jun, Jun Liang, Hui Zhang, et al.. (2015). The Molecular Epidemiological Study of HCV Subtypes among Intravenous Drug Users and Non-Injection Drug Users in China. PLoS ONE. 10(10). e0140263–e0140263. 8 indexed citations
11.
Ma, Yanling, Jibao Wang, Yingzhen Su, et al.. (2015). Evaluation of PIMA Point-of-care CD4 Analyzer in Yunnan, China. Chinese Medical Journal. 128(7). 890–895. 7 indexed citations
12.
Yao, Jun, et al.. (2014). Promising Antibody Testing Strategies for Early Infant HIV Infection Diagnosis in China. PLoS ONE. 9(6). e99935–e99935. 2 indexed citations
13.
Yan, Hao, Haiying Yu, Wenge Xing, et al.. (2014). Development of a Proficiency Testing Program for the HIV-1 BED Incidence Assay in China. Scientific Reports. 4(1). 4512–4512. 8 indexed citations
14.
Qian, Han‐Zhu, Xiwen Zheng, Wenge Xing, et al.. (2011). HIV, HCV, and HBV co-infections in a rural area of Shanxi province with a history of commercial blood donation.. PubMed. 24(3). 207–13. 13 indexed citations
15.
Wang, Jibao, Yuecheng Yang, Song Duan, et al.. (2010). [Proportions and correlates of recent HIV infections among newly reported HIV/AIDS cases from 2005 through 2009 in Dehong prefecture, Yunnan province].. PubMed. 31(11). 1210–4. 1 indexed citations
16.
Xu, Junjie, Haibo Wang, Yan Jiang, et al.. (2010). Application of the BED capture enzyme immunoassay for HIV incidence estimation among female sex workers in Kaiyuan City, China, 2006–2007. International Journal of Infectious Diseases. 14(7). e608–e612. 18 indexed citations
17.
Jiang, Yan, Mary Qiu, Guigen Zhang, et al.. (2010). Quality assurance in the HIV/AIDS laboratory network of China. International Journal of Epidemiology. 39(Supplement 2). ii72–ii78. 22 indexed citations
18.
Duan, Song, Sheng Shen, Marc Bulterys, et al.. (2010). Estimation of HIV-1 incidence among five focal populations in Dehong, Yunnan: a hard hit area along a major drug trafficking route. BMC Public Health. 10(1). 180–180. 27 indexed citations
19.
Qiu, Maofeng, Xin Liu, Yan Jiang, et al.. (2009). Current HIV‐2 diagnostic strategy overestimates HIV‐2 prevalence in China. Journal of Medical Virology. 81(5). 790–797. 10 indexed citations
20.
Qian, Han‐Zhu, Sten H. Vermund, Richard A. Kaslow, et al.. (2006). Co-infection with HIV and hepatitis C virus in former plasma/blood donors: challenge for patient care in rural China. AIDS. 20(10). 1429–1435. 56 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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