Jiangchun Wu

534 citations
24 papers · 363 · h-index 11

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 3
    • RNA modifications and cancer 3
    • PARP inhibition in cancer therapy 2

Jiangchun Wu

23 papers receiving 351 citations

Peers

Jiangchun Wu
Comparison fields: 5 of 72
  • Developmental Neuroscience 33
  • Endocrinology 23
  • Ophthalmology 33
  • Molecular Medicine 17
  • Neurology 24
Replace Şenay Balcı with:
Şenay Balcı Türkiye
Fabien Richard France
Zhengyu Zhang China
Shinya Honda Japan
Swarna Lekha Vijayaraj Australia
Prashant V. Thakkar United States
IP Trougakos Greece
Li Yy China
Xiaoling Zhang China
Jessica L. Simmers United States
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Citations per year

Countries citing papers authored by Jiangchun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangchun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 202047
3 201636
4 201531
5 200226
6 202321
7 201720
8 202218
9 201717
10 202212
11 201512
12 202210
13 20239
14 20248
15 20247
16 20186
17 20244
18 20173
19
Clinical value and application of a novel nomogram containing inflammatory, nutritional and clinical markers in predicting overall survival of stage II/III gastric cancer patients after radical resection: a bi-centered retrospective study of 2,443 patients.
20223
20 20232

About Jiangchun Wu

Jiangchun Wu is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Surgery and Neurology, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Ferroptosis and cancer prognosis (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), RNA modifications and cancer (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), PARP inhibition in cancer therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Endocrinology (23 citations), Ophthalmology (33 citations), Molecular Medicine (17 citations) and Neurology (24 citations). Jiangchun Wu has collaborated with scholars based in China. Frequent co-authors include Ruobing Wang, Yong Wu, Lin Liu, Xuejun Sun, Zhouheng Ye, Simin Wang, Paul Peluso, David S. Wilson, Steffen Nock and Qinhao Guo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Brain Research, Journal of Translational Medicine, Frontiers in Immunology and BMC Cancer.

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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