Jun Wan

7.5k citations
174 papers · 5.2k · 1 hit paper · h-index 41

Impact in

Papers in

    • Epigenetics and DNA Methylation 17
    • Retinal Development and Disorders 10
    • Genomics and Chromatin Dynamics 10
    • Pancreatic and Hepatic Oncology Research 6

Jun Wan

167 papers receiving 5.1k citations

Jun Wan's Hit Papers

Neutrophils resist ferroptosis and promote breast cancer metastasis through aconitate decarboxylase 1 2023 · 188 citations
1880+1+2Years since publication50100150

Peers

Jun Wan
Comparison fields: 5 of 128
  • Molecular Biology 2.2k
  • Acoustics and Ultrasonics 39
  • Aging 50
  • Geriatrics and Gerontology 94
  • Cancer Research 345
Replace Melissa C. Skala with:
Melissa C. Skala United States
Francesco Pampaloni Germany
Anne K. Kenworthy United States
Lachlan W. Whitehead Australia
Alexander Yu. Nikitin United States
Kenneth W. Dunn United States
Katherine Luby‐Phelps United States
Li Yu China
Jeroen Kuipers Netherlands
Tatiana Karpova United States
Jun Wan relative to Melissa C. Skala United States Melissa C. Skala's profile →
Citations per field
00.5×2×3×4.3×
Melissa C. Skala · 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 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013281
2 2009261
3
Neutrophils resist ferroptosis and promote breast cancer metastasis through aconitate decarboxylase 1
Hit paper breakdown →
2023188
4 2000137
5 2015137
6 2019136
7 2019122
8 1998120
9 2015114
10 201999
11 200797
12 201097
13 202190
14 201489
15 201784
16 201578
17 202171
18 201867
19 201866
20 202065

About Jun Wan

Jun Wan is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Immunology, having authored 174 papers that have together received 5.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Hematopoietic Stem Cell Transplantation (10 papers), Retinal Development and Disorders (10 papers), Genomics and Chromatin Dynamics (10 papers), MicroRNA in disease regulation (8 papers), Retinal Diseases and Treatments (7 papers), Pancreatic and Hepatic Oncology Research (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Acoustics and Ultrasonics (39 citations), Aging (50 citations), Geriatrics and Gerontology (94 citations) and Cancer Research (345 citations). Jun Wan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jiang X. Qian, Sheng Liu, Heng Zhu, Jian Zi, Donald J. Zack, Guohua Wang, Yunlong Liu, C. Martijn de Sterke, Shannath L. Merbs and Marc M. Dignam. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Cancer Research, Investigative Ophthalmology & Visual Science 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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