Li Yan

680 total citations
21 papers, 440 citations indexed

About

Li Yan is a scholar working on General Health Professions, Applied Microbiology and Biotechnology and Epidemiology. According to data from OpenAlex, Li Yan has authored 21 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Applied Microbiology and Biotechnology and 5 papers in Epidemiology. Recurrent topics in Li Yan's work include Antibiotic Use and Resistance (6 papers), Patient Satisfaction in Healthcare (6 papers) and Pneumonia and Respiratory Infections (3 papers). Li Yan is often cited by papers focused on Antibiotic Use and Resistance (6 papers), Patient Satisfaction in Healthcare (6 papers) and Pneumonia and Respiratory Infections (3 papers). Li Yan collaborates with scholars based in United Kingdom, China and Netherlands. Li Yan's co-authors include Darren M. Ashcroft, Tjeerd van Staa, Matthew Sperrin, William Welfare, Victoria Palin, Mark Loeb, Margaret Fearon, Susan K. Bowles, Allison McGeer and Wayne Lee and has published in prestigious journals such as Journal of the American College of Cardiology, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Li Yan

20 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Yan United Kingdom 12 154 64 55 49 43 21 440
Carlos Palos Portugal 8 97 0.6× 59 0.9× 47 0.9× 30 0.6× 22 0.5× 18 516
Najeeha Talat Iqbal Pakistan 16 138 0.9× 9 0.1× 187 3.4× 31 0.6× 62 1.4× 61 733
Neelam Sharma India 11 88 0.6× 18 0.3× 124 2.3× 30 0.6× 36 0.8× 46 456
Mariano Bernardo Italy 13 132 0.9× 37 0.6× 168 3.1× 33 0.7× 23 0.5× 30 661
Rachel Freeman United Kingdom 10 121 0.8× 97 1.5× 71 1.3× 31 0.6× 18 0.4× 23 332
Stacy G. Beal United States 14 232 1.5× 28 0.4× 234 4.3× 32 0.7× 29 0.7× 41 627
Stephen R. C. Howie Gambia 12 236 1.5× 18 0.3× 68 1.2× 20 0.4× 21 0.5× 18 630
Eric Pelfrene United Kingdom 8 481 3.1× 55 0.9× 116 2.1× 18 0.4× 8 0.2× 10 1.0k
Mohammed Hanif Bangladesh 13 236 1.5× 16 0.3× 74 1.3× 18 0.4× 65 1.5× 39 567
David Birnbaum Canada 10 74 0.5× 29 0.5× 103 1.9× 78 1.6× 19 0.4× 71 441

Countries citing papers authored by Li Yan

Since Specialization
Citations

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

Fields of papers citing papers by Li Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yan. A scholar is included among the top collaborators of Li 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 Li Yan. Li 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.
Yang, Qiong, et al.. (2024). Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug‐Induced Liver Injury. Toxicology. 502. 153736–153736. 15 indexed citations
2.
Staa, Tjeerd van, Li Yan, Natalie Gold, et al.. (2022). Comparing antibiotic prescribing between clinicians in UK primary care: an analysis in a cohort study of eight different measures of antibiotic prescribing. BMJ Quality & Safety. 31(11). 831–838. 13 indexed citations
3.
Yan, Li, Zhi Chen, Jianting Zhao, et al.. (2022). Neurotransmitter and Related Metabolic Profiling in the Nucleus Accumbens of Chronic Unpredictable Mild Stress-Induced Anhedonia-Like Rats. Frontiers in Behavioral Neuroscience. 16. 862683–862683. 5 indexed citations
4.
5.
Staa, Tjeerd van, Victoria Palin, Benjamin Brown, et al.. (2020). The Safety of Delayed Versus Immediate Antibiotic Prescribing for Upper Respiratory Tract Infections. Clinical Infectious Diseases. 73(2). e394–e401. 5 indexed citations
6.
Staa, Tjeerd van, Victoria Palin, Li Yan, et al.. (2020). The effectiveness of frequent antibiotic use in reducing the risk of infection-related hospital admissions: results from two large population-based cohorts. BMC Medicine. 18(1). 40–40. 30 indexed citations
7.
Peng, Xi, Xiaoyi Wang, Li Yan, et al.. (2020). Impact of a Multifaceted Pharmacist-Led Intervention on Antimicrobial Stewardship in a Gastroenterology Ward: A Segmented Regression Analysis. Frontiers in Pharmacology. 11. 442–442. 16 indexed citations
8.
Xu, Xuebin, Yan Chen, Hang Pan, et al.. (2020). Genomic characterization of Salmonella Uzaramo for human invasive infection. Microbial Genomics. 6(7). 47 indexed citations
10.
Yan, Li. (2020). Connecting Chongqing and Southeast Asia: Progress, Potential and Challenges. 1 indexed citations
11.
Yan, Li, Matthew Sperrin, Glen P. Martin, Darren M. Ashcroft, & Tjeerd van Staa. (2019). Examining the impact of data quality and completeness of electronic health records on predictions of patients’ risks of cardiovascular disease. International Journal of Medical Informatics. 133. 104033–104033. 16 indexed citations
12.
Yan, Li, et al.. (2019). Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?. Scientific Reports. 9(1). 11222–11222. 22 indexed citations
13.
Yan, Li, Anna Mölter, Andrew White, et al.. (2018). Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study. British Journal of General Practice. 69(678). e42–e51. 19 indexed citations
14.
Gou, Hongchao, Juan Li, Rujian Cai, et al.. (2017). Rapid detection of Haemophilus parasuis using cross-priming amplification and vertical flow visualization. Journal of Microbiological Methods. 144. 67–72. 9 indexed citations
15.
Wang, Yang, Ai‐Yu Gong, Shibin Ma, et al.. (2016). Delivery of parasite RNA transcripts into infected epithelial cells during Cryptosporidium infection and its potential impact on host gene transcription. The Journal of Infectious Diseases. jiw607–jiw607. 34 indexed citations
16.
Silverman, Eric, Rasa Kazlauskaite, Gina Lundberg, et al.. (2015). DO THE NEW POOLED COHORT EQUATIONS AGREE WITH REYNOLD’S RISK SCORE FOR WOMEN?. Journal of the American College of Cardiology. 65(10). A1435–A1435. 1 indexed citations
17.
Yan, Li. (2010). A new attribute reduction algorithm in an incomplete information system. Journal of Chongqing University of Posts and Telecommunications. 1 indexed citations
18.
Wu, Wei‐Zhong, Hui‐Chuan Sun, Yanqin Gao, et al.. (2004). Reduction in p48-ISGFγ Levels Confers Resistance to Interferon-α<sub>2a</sub> in MHCC97 Cells. Oncology. 67(5-6). 428–440. 13 indexed citations
19.
Yan, Li. (2003). The Effect and Significance of Intestinal Trefoil Factor IL-8 and MDA for Neonatal Rat Model for Hypoxia-induced Intestinal Injury. Zhonghua weichan yixue zazhi. 4 indexed citations
20.
Bowles, Susan K., Wayne Lee, Andrew E. Simor, et al.. (2002). Use of Oseltamivir During Influenza Outbreaks in Ontario Nursing Homes, 1999–2000. Journal of the American Geriatrics Society. 50(4). 608–616. 93 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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