Jun Feng

1.4k citations
36 papers · 437 · h-index 11

Impact in

Papers in

Jun Feng

25 papers receiving 431 citations

Peers

Jun Feng
Comparison fields: 5 of 89
  • Public Health, Environmental and Occupational Health 102
  • Epidemiology 73
  • Health Informatics 3
  • Neurology 28
  • Immunology and Allergy 11
Replace Sun‐Young Baek with:
Sun‐Young Baek South Korea
Michèle M. Sale United States
J. Keith Pinckard United States
Salïh Emri Türkiye
Shameer Mehta United Kingdom
Saeed Soleymanjahi Iran
Scott A. Vogelgesang United States
Jinfeng Han United States
S. Ohlman Sweden
Feneli Karachaliou Greece
Jun Feng relative to Sun‐Young Baek South Korea Sun‐Young Baek's profile →
Citations per field
00.5×3.1×
Sun‐Young Baek · 1×
Citations per year

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Feng Line = papers co-authored together Jun Feng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201964
3 202250
4 201535
5 202032
6 201329
7 202117
8 202117
9 202313
10 202311
11 202210
12 202010
13 20238
14 20138
15 20178
16 20247
17 20236
18 20236
19 20165
20 20215

About Jun Feng

Jun Feng is a scholar working on Neurology, Public Health, Environmental and Occupational Health, Oncology, Surgery and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 437 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (8 papers), Neuroblastoma Research and Treatments (7 papers), Smoking Behavior and Cessation (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Ferroptosis and cancer prognosis (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (102 citations), Epidemiology (73 citations), Health Informatics (3 citations), Neurology (28 citations) and Immunology and Allergy (11 citations). Jun Feng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Jie, Ruti Sella, Peng-Fei Yan, Natalie A. Afshari, Tingting Hu, Maria Gomez-Jenkins, Hongyang Zhao, Zhen Zhang, Shusheng Li and Dongdong Xiao. Their work appears in journals such as Frontiers in Pediatrics, Frontiers in Immunology, Nicotine & Tobacco Research, PLoS ONE and PeerJ.

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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