Jun Wei

2.0k citations
45 papers · 1.6k indexed · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

Jun Wei

43 papers receiving 1.5k citations

Peers

Jun Wei
Comparison fields: 5 of 104
  • Cancer Research 474
  • Genetics 221
  • Immunology 267
  • Molecular Biology 715
  • Pulmonary and Respiratory Medicine 286
Replace Wiltrud M. Kalka-Moll with:
Wiltrud M. Kalka-Moll Germany
Ji Hyun Kim South Korea
Grażyna Hoser Poland
Mitchell D. Botney United States
Mazdak Ganjalıkhani-Hakemi Iran
Azzaq Belaaouaj France
Fadila Guessous United States
Ellen M. Younkin United States
Amrita Joshi United States
Xuefeng Wang China
Jun Wei relative to Wiltrud M. Kalka-Moll Germany Wiltrud M. Kalka-Moll's profile →
Citations per field
00.5×3.8×
Wiltrud M. Kalka-Moll · 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

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201382
3 201380
4 201672
5 201465
6 201765
7 201364
8 200956
9 201356
10 201556
11 201754
12 201748
13 201946
14 201244
15 201643
16 201743
17 201343
18 201441
19 201539
20 201639

About Jun Wei

Jun Wei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Mesenchymal stem cell research (8 papers), Neonatal Respiratory Health Research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Cancer Research (474 citations), Genetics (221 citations), Immunology (267 citations), Molecular Biology (715 citations) and Pulmonary and Respiratory Medicine (286 citations). Jun Wei has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Xiaoming Liu, Guangxian Xu, Zhaobo Zhang, Jiali Yang, Juan Shi, Feng Li, Meihui Luo, Le Guo, William C. Cho and Zhaohui Ge. Their work appears in journals such as Molecular Immunology, PLoS ONE, Frontiers in Cellular and Infection Microbiology, The Journal of Immunology and Oxidative Medicine and Cellular Longevity.

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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