Suling Chen

39 papers receiving 346 citations

Peers

Suling Chen
Comparison fields: 5 of 108
  • Biological Psychiatry 31
  • Otorhinolaryngology 14
  • Computational Theory and Mathematics 45
  • Cancer Research 37
  • Molecular Biology 150
Replace Misbahuddin M. Rafeeq with:
Misbahuddin M. Rafeeq Saudi Arabia
Joonho Park South Korea
Nael Al Koudsi Canada
Chunhong Zhang China
Justin R. Chen United States
Ramesh K. Goyal India
Marie Jouanne France
Aleksandra Tarasiuk Poland
Tomás Zambrano Chile
Suling Chen relative to Misbahuddin M. Rafeeq Saudi Arabia Misbahuddin M. Rafeeq's profile →
Citations per field
00.5×4.7×
Misbahuddin M. Rafeeq · 1×
Citations per year

Countries citing papers authored by Suling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Suling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201749
3 202032
4 201521
5 202320
6 201918
7 20249
8 20209
9 20139
10 20238
11 20177
12
Transplanted mouse liver stem cells at different stages of differentiation ameliorate concanavalin A-induced acute liver injury by modulating Tregs and Th17 cells in mice.
20195
13 20214
14 20244
15
Load Characteristics of Changde Region and Analysis on Its Influencing Factors
20124
16 20224
17 20223
18 20243
19 20203
20
Emodin Attenuates The Neurotoxicity Induced by Nitric Oxide Through Inhibiting FOXO1 Transcriptional Activity
20163

About Suling Chen

Suling Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Emergency Medicine, having authored 44 papers that have together received 350 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (5 papers), HIV/AIDS Research and Interventions (4 papers), Cancer-related molecular mechanisms research (4 papers), Head and Neck Cancer Studies (4 papers), Tryptophan and brain disorders (3 papers), Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biological Psychiatry (31 citations), Otorhinolaryngology (14 citations), Computational Theory and Mathematics (45 citations), Cancer Research (37 citations) and Molecular Biology (150 citations). Suling Chen has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yutong Lin, Zunnan Huang, Yuquan Zhou, Hongbin Huang, Chuanjun Zhuo, Lina Wang, Hongjun Tian, Tao Xin, Jie Li and Ronghuan Jiang. Their work appears in journals such as Annals of Medicine, Psychiatry Research, Oral Diseases, Clinical & Translational Oncology and International Journal of Surgery.

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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