Jun Fei

1.0k total citations · 1 hit paper
26 papers, 563 citations indexed

About

Jun Fei is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Jun Fei has authored 26 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 6 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Jun Fei's work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Neonatal Respiratory Health Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Jun Fei is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Neonatal Respiratory Health Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Jun Fei collaborates with scholars based in China, United Kingdom and France. Jun Fei's co-authors include Lin Fu, Hui Zhao, De‐Xiang Xu, Hui-Xian Xiang, Jiabin Li, Wei Cao, Ying Xiang, Yuan‐Hua Chen, Ling Zheng and Wei Yang and has published in prestigious journals such as The Journal of Immunology, Journal of Hazardous Materials and Frontiers in Immunology.

In The Last Decade

Jun Fei

25 papers receiving 562 citations

Hit Papers

Unraveling nonlinear and interaction effects of multileve... 2024 2026 2025 2024 10 20 30 40
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. Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning
    2024 43 citations Wei Yang, Jun Fei et al. Cities profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Fei China 16 179 121 112 109 85 26 563
Xiaosong Ben China 12 119 0.7× 53 0.4× 59 0.5× 37 0.3× 13 0.2× 45 478
Zhiguang Zhao China 15 62 0.3× 59 0.5× 190 1.7× 21 0.2× 103 1.2× 52 690
Yingmeng Ni China 15 238 1.3× 59 0.5× 159 1.4× 24 0.2× 75 0.9× 28 670
Lixia Xu China 13 95 0.5× 36 0.3× 121 1.1× 51 0.5× 38 0.4× 35 586
Tidi Hassan Ireland 14 277 1.5× 77 0.6× 187 1.7× 131 1.2× 55 0.6× 31 692
Anant Mohan India 13 454 2.5× 66 0.5× 85 0.8× 26 0.2× 54 0.6× 66 737
Lan Gu China 14 75 0.4× 108 0.9× 158 1.4× 109 1.0× 75 0.9× 27 636
Ningfei Ji China 16 190 1.1× 93 0.8× 211 1.9× 173 1.6× 61 0.7× 60 890
Yongchang Sun China 15 264 1.5× 89 0.7× 108 1.0× 80 0.7× 21 0.2× 54 537

Countries citing papers authored by Jun Fei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fei. A scholar is included among the top collaborators of Jun Fei 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 Jun Fei. Jun Fei 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, Wei, et al.. (2025). Environmental determinants of dynamic jogging patterns: Insights from trajectory big data analysis and interpretable machine learning. Applied Geography. 178. 103596–103596. 4 indexed citations
2.
Chen, Lihong, Junping Wei, Yu Wang, et al.. (2025). AhR-mediated histone lactylation drives cellular senescence during benzo[a]pyrene-evoked chronic obstructive pulmonary disease. Journal of Hazardous Materials. 495. 139083–139083. 1 indexed citations
3.
Yang, Wei, et al.. (2025). The role of blue-green spaces in shaping leisure jogging: explainable machine learning insights into jogging flow and duration. Travel Behaviour and Society. 41. 101081–101081. 1 indexed citations
4.
Fei, Jun, et al.. (2024). Associations of Vitamin D With GPX4 and Iron Parameters in Chronic Obstructive Pulmonary Disease Patients: A Case–Control Study. Canadian Respiratory Journal. 2024(1). 4505905–4505905. 3 indexed citations
5.
6.
Yang, Wei, Jun Fei, Yingpeng Li, Hong Chen, & Yong Liu. (2024). Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning. Cities. 147. 104813–104813. 43 indexed citations breakdown →
7.
8.
Yang, Wei, Hong Chen, Jingjing Li, et al.. (2024). How does visual environment affect outdoor jogging behavior? Insights from large-scale city images and GPS trajectories. Urban forestry & urban greening. 95. 128291–128291. 18 indexed citations
9.
10.
Fei, Jun, Ying Xiang, Zheng Xu, et al.. (2021). Renal dysfunction and prognosis of COVID-19 patients: a hospital-based retrospective cohort study. BMC Infectious Diseases. 21(1). 158–158. 31 indexed citations
11.
Wang, Jiale, Xue Chen, Yuexin Chen, et al.. (2021). The Associations of Serum IL-37 With the Severity and Prognosis in Patients With Community-Acquired Pneumonia: A Retrospective Cohort Study. Frontiers in Immunology. 12. 636896–636896. 26 indexed citations
12.
Liu, Hongyan, Hui-Xian Xiang, Ying Xiang, et al.. (2021). The associations of serum S100A9 with the severity and prognosis in patients with community-acquired pneumonia: a prospective cohort study. BMC Infectious Diseases. 21(1). 327–327. 19 indexed citations
13.
Fei, Jun, Lin Fu, Ying Li, et al.. (2020). Reduction of lymphocyte count at early stage elevates severity and death risk of COVID-19 patients: a hospital-based case-cohort study. Archives of Medical Science. 19(5). 1303–1313. 25 indexed citations
14.
15.
Fu, Lin, Jun Fei, Hui-Xian Xiang, et al.. (2020). Analysis of Death Risk Factors Among 200 COVID-19 Patients in Wuhan, China: A Hospital-Based Case-Cohort Study. SSRN Electronic Journal. 17 indexed citations
16.
Fu, Lin, Jun Fei, Xu Shen, et al.. (2020). Liver Dysfunction and Its Association with the Risk of Death in COVID-19 Patients: A Prospective Cohort Study. Journal of Clinical and Translational Hepatology. 8(4). 1–9. 27 indexed citations
17.
Fu, Lin, Xiuyong Li, Jun Fei, et al.. (2020). Myocardial Injury at Early Stage and Its Association With the Risk of Death in COVID-19 Patients: A Hospital-Based Retrospective Cohort Study. Frontiers in Cardiovascular Medicine. 7. 590688–590688. 15 indexed citations
18.
Fei, Jun, Lin Fu, Biao Hu, et al.. (2018). Obeticholic acid alleviate lipopolysaccharide-induced acute lung injury via its anti-inflammatory effects in mice. International Immunopharmacology. 66. 177–184. 39 indexed citations
19.
Zhang, Fan, et al.. (2012). The Research of Medical Safety Information Engineering in Hospital Application Study. Physics Procedia. 25. 982–988. 1 indexed citations
20.
Chen, Qingyong, Jun Fei, Lijun Wu, et al.. (2011). Detection of cathepsin B, cathepsin L, cystatin C, urokinase plasminogen activator and urokinase plasminogen activator receptor in the sera of lung cancer patients. Oncology Letters. 2(4). 693–699. 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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