Jun Wei

615 citations
11 papers · 531 indexed · h-index 8
Topics
RNA modifications and cancer (2 papers)Peroxisome Proliferator-Activated Receptors (2 papers)Epigenetics and DNA Methylation (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe FASEB Journal
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jun Wei

11 papers receiving 530 citations

Peers

Jun Wei
Comparison fields: 5 of 64
  • Molecular Biology 321
  • Pathology and Forensic Medicine 191
  • Pulmonary and Respiratory Medicine 151
  • Immunology 72
  • Cancer Research 67
Replace Thomas Wohlfahrt with:
Thomas Wohlfahrt Germany
Kuniko Inoue Japan
DeAnna Baker Frost United States
Vivienne McConnell United Kingdom
Viktor N. Goncharuk United States
Coral Fustero‐Torre Spain
Dagmar Foedinger Austria
Jinyu Sano Japan
Eulàlia Puigdecanet Spain
Qinglong Hu United States
Jun Wei relative to Thomas Wohlfahrt Germany Thomas Wohlfahrt's profile →
Citations per field
00.5×10×20×34×
Thomas Wohlfahrt · 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-authorship network of co-authors of Jun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wei. A scholar is included among the top collaborators of Jun Wei 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 Wei. Jun Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2 1
3 9
4 12
5 46
6 17
7 190
8 134
9 107
10
[Role of progesterone in acylation stimulating protein-receptor C5L2 pathway in adipocytes and preadipocytes].
3
11
Searching for a schizophrenia susceptibility gene in the 22q11 region.
7

About Jun Wei

Jun Wei is a scholar working on Cancer Research, Molecular Biology and Rheumatology, having authored 11 papers that have together received 531 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (191 citations), Dermatology (57 citations) and Molecular Biology (321 citations). Jun Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John Varga, Cara J. Gottardi, Feng Fang, Jennifer L. Sargent, Emily Hamburg‐Shields, Michael L. Whitfield, Monique Hinchcliff, Radhika P. Atit, Anna P. Lam and Swati Bhattacharyya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

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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