Jun Lei

1.2k citations
17 papers · 958 · 1 hit paper · h-index 7

Impact in

Papers in

    • Gastrointestinal disorders and treatments 2
    • Pediatric Hepatobiliary Diseases and Treatments 2
    • Liver Disease Diagnosis and Treatment 3

Jun Lei

17 papers receiving 945 citations

Jun Lei's Hit Papers

The antimicrobial peptides and their potential clinical applications. 2019 · 857 citations
8570+2+4Years since publication250500750

Peers

Jun Lei
Comparison fields: 5 of 101
  • Microbiology 590
  • Molecular Medicine 80
  • Molecular Biology 545
  • Food Science 110
  • Applied Microbiology and Biotechnology 12
Replace Chenhong Zhu with:
Chenhong Zhu China
Maria Magana Greece
Leon G. Leanse United States
Paulo C. Maffía Argentina
Pushpanathan Muthuirulan United States
Junjie Ma Sweden
Biswajit Mishra United States
Mohamed F. Mohamed United States
Guozhi Yu China
Jun Lei relative to Chenhong Zhu China Chenhong Zhu's profile →
Citations per field
00.5×
Chenhong Zhu · 1×
Citations per year

Countries citing papers authored by Jun Lei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Lei, 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 Lei Line = papers co-authored together Jun Lei links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
The antimicrobial peptides and their potential clinical applications.
Hit paper breakdown →
2019857
2 201821
3 202115
4 201912
5 201612
6 20187
7 20176
8 20185
9 20185
10 20224
11 20214
12 20214
13 20172
14 20181
15
[Comparative study on repairing rabbit radius segmental defects with two different proportions of chitosan combined with allogeneic morselized bone].
20111
16 20191
17 20211

About Jun Lei

Jun Lei is a scholar working on Surgery, Epidemiology, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 17 papers that have together received 958 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Liver Disease and Transplantation (2 papers), TGF-β signaling in diseases (2 papers), Liver physiology and pathology (2 papers), Gastrointestinal disorders and treatments (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Tumors and Oncological Cases (2 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Microbiology (590 citations), Molecular Medicine (80 citations), Molecular Biology (545 citations), Food Science (110 citations) and Applied Microbiology and Biotechnology (12 citations). Jun Lei has collaborated with scholars based in China and United States. Frequent co-authors include Jun He, Siyu Huang, Chenhong Zhu, Ping Li, David H. Coy, Shouhua Zhang, Juhua Xiao, Huan Li, Dong Chen and Yuanlong Xie. Their work appears in journals such as Digestive Diseases and Sciences, Medicine, International Immunopharmacology, World Journal of Emergency Surgery and Surgical Endoscopy.

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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