Jingyan Yang

3.0k total citations
125 papers, 1.8k citations indexed

About

Jingyan Yang is a scholar working on Surgery, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, Jingyan Yang has authored 125 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 31 papers in Infectious Diseases and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Jingyan Yang's work include SARS-CoV-2 and COVID-19 Research (19 papers), Spine and Intervertebral Disc Pathology (16 papers) and COVID-19 Clinical Research Studies (15 papers). Jingyan Yang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), Spine and Intervertebral Disc Pathology (16 papers) and COVID-19 Clinical Research Studies (15 papers). Jingyan Yang collaborates with scholars based in United States, China and United Kingdom. Jingyan Yang's co-authors include Alfred I. Neugut, Dawn L. Hershman, Jason D. Wright, Jeffrey N. Bruce, Fizan Abdullah, Linpei Jia, Seth D. Goldstein, Colin D. Gause, Rufu Jia and Alexander P. Hughes and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

In The Last Decade

Jingyan Yang

117 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyan Yang United States 22 791 398 172 166 153 125 1.8k
Kam Shojania Canada 27 511 0.6× 186 0.5× 127 0.7× 48 0.3× 79 0.5× 80 2.8k
Machaon Bonafede United States 28 400 0.5× 345 0.9× 85 0.5× 67 0.4× 181 1.2× 153 2.8k
Rachel Court United Kingdom 21 563 0.7× 210 0.5× 39 0.2× 177 1.1× 49 0.3× 66 1.8k
Sreenivas Vishnubhatla India 26 283 0.4× 194 0.5× 179 1.0× 50 0.3× 67 0.4× 105 1.6k
Abel Wakai Ireland 26 557 0.7× 79 0.2× 142 0.8× 390 2.3× 60 0.4× 69 1.9k
Brian Shine United Kingdom 33 927 1.2× 370 0.9× 254 1.5× 74 0.4× 286 1.9× 127 3.8k
Rasheed A. Balogun United States 23 662 0.8× 205 0.5× 528 3.1× 110 0.7× 647 4.2× 67 3.8k
Amy S. Mudano United States 25 957 1.2× 234 0.6× 179 1.0× 26 0.2× 65 0.4× 53 2.4k
Andrew Wilson Australia 28 702 0.9× 624 1.6× 108 0.6× 71 0.4× 149 1.0× 77 3.0k
Dilli Ram Poudel United States 20 229 0.3× 193 0.5× 69 0.4× 49 0.3× 57 0.4× 69 1.2k

Countries citing papers authored by Jingyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyan Yang. A scholar is included among the top collaborators of Jingyan Yang 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 Jingyan Yang. Jingyan Yang 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, Jingyan, Jennifer L. Nguyen, Hannah R. Volkman, et al.. (2025). Quantifying all-cause healthcare resource utilization and costs of children with mild-to-moderate long COVID in France. Journal of Medical Economics. 28(1). 1002–1013. 1 indexed citations
2.
Yang, Jingyan, et al.. (2024). COVID-19-Related Work Absenteeism and Associated Lost Productivity Cost in Germany. Journal of Occupational and Environmental Medicine. 66(6). 514–522. 2 indexed citations
3.
Andersen, Kathleen M., Leah J. McGrath, Diana Mendes, et al.. (2024). Persons diagnosed with COVID-19 in England in the Clinical Practice Research Datalink (CPRD): a cohort description. BMJ Open. 14(1). e073866–e073866. 3 indexed citations
4.
Yang, Jingyan, Kathleen M. Andersen, Abby E. Rudolph, et al.. (2024). Definition and measurement of post-COVID-19 conditions in real-world practice: a global systematic literature review. BMJ Open. 14(1). e077886–e077886. 18 indexed citations
5.
Xu, Zhiwei, et al.. (2024). An experimental study on laser cleaning of the soot deposition layer on a white marble surface. Surfaces and Interfaces. 56. 105533–105533. 3 indexed citations
6.
Gavaghan, Meghan, et al.. (2023). 516. A Systematic Literature Review Evaluating Real-World Use of Nirmatrelvir-Ritonavir for the Prevention of COVID-19-Related Hospitalization and Death. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
7.
Yang, Jingyan, Kathleen M. Andersen, Tendai Mugwagwa, et al.. (2023). Health Care Resource Utilization and Costs Associated With COVID-19 Among Pediatrics Managed in the Community or Hospital Setting in England: A Population-based Cohort Study. The Pediatric Infectious Disease Journal. 43(3). 209–216.
8.
Yang, Jingyan, Kathleen M. Andersen, Tendai Mugwagwa, et al.. (2023). Healthcare resource utilisation and costs of hospitalisation and primary care among adults with COVID-19 in England: a population-based cohort study. BMJ Open. 13(12). e075495–e075495. 2 indexed citations
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Yang, Jingyan, et al.. (2023). Burden of COVID-19 during the omicron predominance in Brazil: a nationwide retrospective database study. Journal of Medical Economics. 26(1). 1201–1211.
11.
Fusco, Manuela Di, Diana Mendes, Lotte Steuten, et al.. (2023). The Societal Value of Vaccines: Expert-Based Conceptual Framework and Methods Using COVID-19 Vaccines as a Case Study. Vaccines. 11(2). 234–234. 7 indexed citations
12.
Yang, Jingyan, Benjamin Yarnoff, Manuela Di Fusco, et al.. (2022). Estimated global public health and economic impact of COVID-19 vaccines in the pre-omicron era using real-world empirical data. Expert Review of Vaccines. 22(1). 54–65. 17 indexed citations
13.
Mendes, Diana, et al.. (2022). Public health impact of UK COVID-19 booster vaccination programs during Omicron predominance. Expert Review of Vaccines. 22(1). 90–103. 9 indexed citations
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15.
Mendes, Diana, Jessica E. Atwell, Jennifer L. Nguyen, et al.. (2022). Public health impact of booster vaccination against COVID-19 in the UK during Delta variant dominance in autumn 2021. Journal of Medical Economics. 25(1). 1039–1050. 5 indexed citations
16.
Masters, Mary Clare, Kunling Wu, Ronald J. Ellis, et al.. (2021). Baseline Neurocognitive Impairment (NCI) Is Associated With Incident Frailty but Baseline Frailty Does Not Predict Incident NCI in Older Persons With Human Immunodeficiency Virus (HIV). Clinical Infectious Diseases. 73(4). 680–688. 11 indexed citations
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Shelbaya, Ahmed, et al.. (2021). Real-World Use and Acceptance of Biosimilar Monoclonal Antibodies of Rituximab in Oncology Practice in the USA. Future Oncology. 17(30). 3941–3950. 8 indexed citations
20.
Yang, Jingyan, et al.. (2020). Vertebral fracture assessment (VFA) for osteoporosis screening in US postmenopausal women: is it cost-effective?. Osteoporosis International. 31(12). 2321–2335. 15 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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