Sheng Chen

1.6k citations
67 papers · 1.1k indexed · h-index 19

Impact in

Papers in

Sheng Chen

60 papers receiving 1.1k citations

Peers

Sheng Chen
Comparison fields: 5 of 134
  • Aging 45
  • Endocrine and Autonomic Systems 88
  • Cellular and Molecular Neuroscience 193
  • Medical Terminology 2
  • Molecular Biology 527
Replace Aaron C. Pawlyk with:
Aaron C. Pawlyk United States
Rachel Butler United Kingdom
Joel Brind United States
Shiping Li China
Masaya Tachibana Japan
Katherine Beebe United States
Gerard Piñol‐Ripoll Spain
Bunpei Ishizuka Japan
Peter Abadir United States
Sumit Parikh United States
Sheng Chen relative to Aaron C. Pawlyk United States Aaron C. Pawlyk's profile →
Citations per field
00.5×1.5×
Aaron C. Pawlyk · 1×
Citations per year

Countries citing papers authored by Sheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202410
4 20241
5 20241
6 20241
7 20241
8 20240
9 20235
10 20231
11 20235
12 20235
13 20232
14 20233
15 20226
16 20227
17
LncRNA CCAT1 Promotes Colorectal Cancer Tumorigenesis Via A miR-181b-5p/TUSC3 Axis
20192
18 201614
19 20114
20 200129

About Sheng Chen

Sheng Chen is a scholar working on Applied Psychology, Aging, Immunology and Allergy, Cancer Research and Physical Therapy, Sports Therapy and Rehabilitation, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat shock proteins research (9 papers), Digital Mental Health Interventions (8 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Mental Health Research Topics (3 papers), Mental Health Treatment and Access (3 papers), Telemedicine and Telehealth Implementation (3 papers), Schizophrenia research and treatment (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Aging (45 citations), Endocrine and Autonomic Systems (88 citations), Cellular and Molecular Neuroscience (193 citations), Medical Terminology (2 citations) and Molecular Biology (527 citations). Sheng Chen has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Ian R. Brown, James W. Gurd, Shintaro Besshoh, Robert M. Tanguay, Chengfeng Xiao, Tangchun Wu, Fang Liu, Ruibo Wang, Philip Seeman and Michele J. Grimm. Their work appears in journals such as Cell Stress and Chaperones, The Canadian Journal of Psychiatry, PLoS ONE, Frontiers in Immunology and Brain Research.

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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