Jun Wan

670 citations
29 papers · 389 · h-index 14

Impact in

    • Microtubule and mitosis dynamics
    • Cancer-related Molecular Pathways
    • Colorectal Cancer Screening and Detection

Papers in

    • DNA Repair Mechanisms 3
    • Ubiquitin and proteasome pathways 3
    • Cancer-related Molecular Pathways 6

Jun Wan

28 papers receiving 386 citations

Peers

Jun Wan
Comparison fields: 5 of 80
  • Cell Biology 79
  • Oncology 97
  • Molecular Biology 199
  • Oral Surgery 16
  • Cancer Research 31
Replace Fereshteh S. Younesi with:
Fereshteh S. Younesi Canada
И И Бабиченко Russia
Xiaoying Wang China
Alejandro Herreros‐Pomares Spain
Maryam Kabir‐Salmani Iran
Andrew M. Overmiller United States
Johanna Korvala Finland
Daimo Guo China
Daniel Halloran United States
Balaji Bandyopadhyay United States
Jun Wan relative to Fereshteh S. Younesi Canada Fereshteh S. Younesi's profile →
Citations per field
00.5×10×17×
Fereshteh S. Younesi · 1×
Citations per year

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202266
2 201243
3 201329
4 201924
5 201424
6 201420
7 201718
8
Changes of IK, ATP current density and allosteric modulation during chronic atrial fibrillation.
200516
9 201515
10 200215
11 200415
12 202015
13 202014
14 202313
15 20209
16 20208
17 20228
18 20237
19 20216
20 20246

About Jun Wan

Jun Wan is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 389 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Genetic factors in colorectal cancer (2 papers), Brain Metastases and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (79 citations), Oncology (97 citations), Molecular Biology (199 citations), Oral Surgery (16 citations) and Cancer Research (31 citations). Jun Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Beth A. Weaver, Xiang Dong Zhang, Zheng Shi, Lijia Cheng, Ahmad Taha Khalaf, Yuanyuan Wei, Peng Yu, Lauren M. Zasadil, Jiang Zhu and Anjon Audhya. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, World Journal of Gastroenterology, Genes Chromosomes and Cancer, Current Biology and Frontiers in Cell and Developmental Biology.

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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