Jun Wei

17 papers receiving 530 citations

Peers

Jun Wei
Comparison fields: 5 of 70
  • Infectious Diseases 142
  • Molecular Medicine 24
  • Molecular Biology 314
  • Epidemiology 154
  • Parasitology 24
Replace David Neves with:
David Neves Brazil
Anastassia K. Pogoutse Canada
Anne Keriel France
Defen Lu China
Luis Martín-Parras Germany
Erica L. Benard Netherlands
Łukasz Kniżewski Poland
Warren Emmett United Kingdom
Kumar L Hari United States
William W. Hwang United States
Jun Wei relative to David Neves Brazil David Neves's profile →
Citations per field
00.5×3.8×
David Neves · 1×
Citations per year

Countries citing papers authored by Jun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000118
2 2014117
3 202357
4 200143
5 200935
6 201334
7 202032
8 201327
9 201226
10 201224
11 20147
12 20215
13 20135
14 20204
15
[Effects of IFN-γ on immunomodulation of mesenchymal stem cells isolated from fetal side of human placenta tissues].
20122
16
[Construction of a recombined adenovirus vector carrying pri-miR-21 gene and research on it's target gene TLR4].
20121
17 20131
18
[MicroRNA-10a accelerates endodermal lineage differentiation of mesenchymal stem cells from human placenta].
20130
19
Identification and characterization of a Mycobacterium tuberculosis gene that enhances mycobacterial survival within macrophages
20010

About Jun Wei

Jun Wei is a scholar working on Molecular Biology, Ecology, Epidemiology, Infectious Diseases and Surgery, having authored 19 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers), Pluripotent Stem Cells Research (4 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Infectious Diseases (142 citations), Molecular Medicine (24 citations), Molecular Biology (314 citations), Epidemiology (154 citations) and Parasitology (24 citations). Jun Wei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include John L. Dahl, James W. Moulder, Richard L. Friedman, Esteban A. Roberts, Douglas B. Young, Peadar Ó Gaora, Huiting Cui, Zhenkui Li, Xin‐zhuan Su and Yuanyuan Jiang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Stem Cells, Journal of Bacteriology, Infection and Immunity and Nature Communications.

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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