Junming Chen

747 citations
37 papers · 556 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

Junming Chen

34 papers receiving 547 citations

Peers

Junming Chen
Comparison fields: 5 of 88
  • Cancer Research 142
  • Hepatology 55
  • Molecular Biology 274
  • Geriatrics and Gerontology 15
  • Nutrition and Dietetics 47
Replace Dong-Eun Lee with:
Dong-Eun Lee South Korea
Zijing Xia China
Rongyang Dai China
Wenshuai Li China
Yongjun Zhu China
Shiyu Du China
Wenqi Shan China
Ayed Allawzi United States
Junming Chen relative to Dong-Eun Lee South Korea Dong-Eun Lee's profile →
Citations per field
00.5×2.9×
Dong-Eun Lee · 1×
Citations per year

Countries citing papers authored by Junming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 201452
3 201851
4 201849
5 201748
6 201636
7 201433
8 201628
9 201923
10 202022
11 202320
12 201618
13 201917
14 202214
15 20229
16 20219
17 20229
18 20229
19 20229
20 20208

About Junming Chen

Junming Chen is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 37 papers that have together received 556 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Cancer-related molecular mechanisms research (4 papers), Liver physiology and pathology (3 papers), MicroRNA in disease regulation (3 papers), Biodiesel Production and Applications (3 papers), Silicone and Siloxane Chemistry (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (142 citations), Hepatology (55 citations), Molecular Biology (274 citations), Geriatrics and Gerontology (15 citations) and Nutrition and Dietetics (47 citations). Junming Chen has collaborated with scholars based in China, Taiwan and Macao. Frequent co-authors include Yonglong Han, Bing Wang, Zhenjie Wu, Guang Ji, Tao Wu, Linhui Wang, Yi Bao, Jue Zhang, Yongmei Xia and Jian Li. Their work appears in journals such as Fuel, Oncotarget, Journal of Applied Polymer Science, Energy and International Journal of Medical Sciences.

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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