Kunming Wen

628 citations
31 papers · 470 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis

Papers in

Kunming Wen

30 papers receiving 468 citations

Peers

Kunming Wen
Comparison fields: 5 of 60
  • Cancer Research 144
  • Oncology 121
  • Molecular Biology 272
  • Pulmonary and Respiratory Medicine 77
  • Gastroenterology 12
Replace He Hu with:
He Hu China
Fajun Xie China
Fengying Du China
Renhua Guo China
Gen Nishikawa Japan
Marco Zanotto Italy
Yuichi Yamaga Japan
Baoxin Qian China
Masataka Shimonosono Japan
Charles Kisali Pallangyo Germany
Kunming Wen relative to He Hu China He Hu's profile →
Citations per field
00.5×2×3×4.2×
He Hu · 1×
Citations per year

Countries citing papers authored by Kunming Wen

Since Specialization
Citations

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

Fields of papers citing papers by Kunming Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201380
2 202458
3 201844
4 202140
5 201735
6 201426
7 201318
8 201917
9 201315
10 201915
11 202115
12 202115
13 201413
14 201913
15 202412
16 201511
17 20228
18 20227
19 20235
20 20214

About Kunming Wen

Kunming Wen is a scholar working on Cancer Research, Oncology, Molecular Biology, Hepatology and Gastroenterology, having authored 31 papers that have together received 470 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), Cancer Cells and Metastasis (5 papers), Liver physiology and pathology (3 papers), Pluripotent Stem Cells Research (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (144 citations), Oncology (121 citations), Molecular Biology (272 citations), Pulmonary and Respiratory Medicine (77 citations) and Gastroenterology (12 citations). Kunming Wen has collaborated with scholars based in China. Frequent co-authors include Jihong Feng, Zhengjun Lin, Wangsheng Chen, Zhongxue Fu, Jiang Qian, Lu Li, Xingye Wu, Chenbo Ding, Junmin Luo and Guoqiu Wu. Their work appears in journals such as Oncology Reports, International Journal of Molecular Medicine, Cancer Letters, Journal of Cellular and Molecular Medicine and Carcinogenesis.

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.

Explore authors with similar magnitude of impact