Yanjun Zhong

2.1k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Yanjun Zhong is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Yanjun Zhong has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 12 papers in Neurology and 7 papers in Epidemiology. Recurrent topics in Yanjun Zhong's work include COVID-19 Clinical Research Studies (15 papers), Long-Term Effects of COVID-19 (12 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Yanjun Zhong is often cited by papers focused on COVID-19 Clinical Research Studies (15 papers), Long-Term Effects of COVID-19 (12 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Yanjun Zhong collaborates with scholars based in China, United States and Belgium. Yanjun Zhong's co-authors include Yiming Li, Junke Long, Yanbing Ding, Xia Wu, Chenfang Wu, Guyi Wang, Jianlei Lv, Guobao Wu, Haiyun Dong and Siye Zhang and has published in prestigious journals such as PLoS ONE, Journal of the American College of Surgeons and Frontiers in Pharmacology.

In The Last Decade

Yanjun Zhong

21 papers receiving 1.2k citations

Hit Papers

The epidemiology, diagnosis and treatment of COVID-19 2020 2026 2022 2024 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The epidemiology, diagnosis and treatment of COVID-19
    2020 645 citations Yanbing Ding, Xia Wu et al. International Journal of Antimicrobial Agents profile →

Peers

Yanjun Zhong
Inderbir Padda United States
Chunxia Tian China
Tielong Chen China
Nicholas E. Ingraham United States
Wei Fang China
Renjie Qin China
Dennis Kunichoff United States
Weina Guo China
Inderbir Padda United States
Yanjun Zhong
Citations per year, relative to Yanjun Zhong Yanjun Zhong (= 1×) peers Inderbir Padda

Countries citing papers authored by Yanjun Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Zhong. A scholar is included among the top collaborators of Yanjun Zhong 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 Yanjun Zhong. Yanjun Zhong 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.
2.
Li, Fanglin, Guyi Wang, Min Xu, et al.. (2023). The differences in virus shedding time between the Delta variant and original SARS-CoV-2 infected patients. Frontiers in Public Health. 11. 1132643–1132643. 3 indexed citations
3.
Li, Fanglin, Chenfang Wu, Min Xu, et al.. (2023). The Association Between Alveolar–Arterial Oxygen Tension Difference and the Severity of COVID-19 in Patients. Infectious Diseases and Therapy. 12(2). 577–587. 2 indexed citations
4.
Xu, Min, Deye Song, Yali Wang, et al.. (2022). Association between inflammatory cytokines and anti-SARS-CoV-2 antibodies in hospitalized patients with COVID-19. Immunity & Ageing. 19(1). 12–12. 27 indexed citations
5.
Peng, Fei, Qiong Yi, Quan Zhang, et al.. (2022). Performance of D-dimer to lymphocyte ratio in predicting the mortality of COVID-19 patients. Frontiers in Cellular and Infection Microbiology. 12. 1053039–1053039. 6 indexed citations
6.
Zhang, Siye, et al.. (2022). The Association Between FT3 With the Outcome and Inflammation/Coagulopathy/Fibrinolysis of COVID-19. Frontiers in Endocrinology. 13. 877010–877010. 8 indexed citations
7.
Li, Fanglin, Chenfang Wu, Bo Yu, et al.. (2022). Pulmonary fibrosis in patients with COVID-19: A retrospective study. Frontiers in Cellular and Infection Microbiology. 12. 1013526–1013526. 8 indexed citations
8.
Peng, Fei, et al.. (2021). Smoking Is Correlated With the Prognosis of Coronavirus Disease 2019 (COVID-19) Patients: An Observational Study. Frontiers in Physiology. 12. 634842–634842. 9 indexed citations
9.
Cyr, Anthony R., Yanjun Zhong, Steven E. Reís, et al.. (2021). Analysis of the Plasma Metabolome after Trauma, Novel Circulating Sphingolipid Signatures, and In-Hospital Outcomes. Journal of the American College of Surgeons. 232(3). 276–287e1. 13 indexed citations
10.
Wang, Guyi, Jinxiu Li, Chenfang Wu, et al.. (2021). The Role of High-Density Lipoprotein in COVID-19. Frontiers in Pharmacology. 12. 720283–720283. 19 indexed citations
11.
Zhong, Yanjun, Lishu Zhao, Guobao Wu, et al.. (2020). Impact of renin–angiotensin system inhibitors use on mortality in severe COVID-19 patients with hypertension: a retrospective observational study. Journal of International Medical Research. 48(12). 1220778703–1220778703. 15 indexed citations
12.
Ding, Yanbing, et al.. (2020). The epidemiology, diagnosis and treatment of COVID-19. International Journal of Antimicrobial Agents. 55(5). 105955–105955. 645 indexed citations breakdown →
13.
Li, Yiming, Junke Long, Jiaquan Chen, et al.. (2020). Analysis of Spatiotemporal Urine Protein Dynamics to Identify New Biomarkers for Sepsis-Induced Acute Kidney Injury. Frontiers in Physiology. 11. 139–139. 8 indexed citations
14.
Wang, Guyi, Quan Zhang, Haiyun Dong, et al.. (2020). Low high-density lipoprotein level is correlated with the severity of COVID-19 patients: an observational study. Lipids in Health and Disease. 19(1). 204–204. 113 indexed citations
15.
Wang, Guyi, Chenfang Wu, Quan Zhang, et al.. (2020). Clinical characteristics and the risk factors for severe events of elderly coronavirus disease 2019 patients.. PubMed. 45(5). 542–548. 6 indexed citations
16.
Wang, Guyi, Quan Zhang, Chenfang Wu, et al.. (2020). Clinical Characteristics of Adult Fevered COVID-19 Patients and Predictors for Developing Severe Events. Frontiers in Medicine. 7. 324–324. 9 indexed citations
17.
Wang, Guyi, Chenfang Wu, Quan Zhang, et al.. (2020). C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation. Open Forum Infectious Diseases. 7(5). ofaa153–ofaa153. 163 indexed citations
18.
Zou, Runmei, Chenfang Wu, Siye Zhang, et al.. (2020). Euthyroid Sick Syndrome in Patients With COVID-19. Frontiers in Endocrinology. 11. 566439–566439. 87 indexed citations
19.
Dong, Haiyun & Yanjun Zhong. (2016). Response to: ‘Continuous versus intermittent infusion of vancomycin in adult patients: a systematic review and meta-analysis’. International Journal of Antimicrobial Agents. 48(1). 114–115. 5 indexed citations
20.
Zhou, Yanyan, Haiyun Dong, Yanjun Zhong, et al.. (2015). The Cold-Inducible RNA-Binding Protein (CIRP) Level in Peripheral Blood Predicts Sepsis Outcome. PLoS ONE. 10(9). e0137721–e0137721. 72 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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