Yajing Chen

48 papers receiving 1.7k citations

Yajing Chen's Hit Papers

Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis 2018 · 286 citations
2860+2+5Years since publication50100150200250

Peers

Yajing Chen
Comparison fields: 5 of 123
  • Endocrinology 132
  • Biological Psychiatry 34
  • Neurology 75
  • Immunology 182
  • Complementary and alternative medicine 66
Replace Ľubomíra Tóthová with:
Ľubomíra Tóthová Slovakia
Gang Ye China
Sudesh Prabhakar India
Susan Sergeant United States
Yanzhang Li China
Santiago Angulo Spain
A. A. Miles United Kingdom
Xingyin Liu China
Di Xu China
Lili Huang China
Yajing Chen relative to Ľubomíra Tóthová Slovakia Ľubomíra Tóthová's profile →
Citations per field
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Ľubomíra Tóthová · 1×
Citations per year

Countries citing papers authored by Yajing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yajing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998331
2
Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis
Hit paper breakdown →
2018286
3 2019130
4 1994128
5 201896
6 201885
7 201784
8 202079
9 202058
10 201838
11 201432
12 201931
13 202030
14 202030
15 201829
16 202428
17 202228
18 202426
19 202119
20 202118

About Yajing Chen

Yajing Chen is a scholar working on Molecular Biology, Neurology, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Frailty in Older Adults (3 papers), Physical Activity and Health (2 papers), Autophagy in Disease and Therapy (2 papers), Diabetes Treatment and Management (2 papers), Advanced Glycation End Products research (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). The work is most often cited by research in Endocrinology (132 citations), Biological Psychiatry (34 citations), Neurology (75 citations), Immunology (182 citations) and Complementary and alternative medicine (66 citations). Yajing Chen has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Arturo Zychlinsky, Kehu Yang, Long Ge, Bei Pan, Richard A. Flavell, Josette Arondel, Jeremy E. Moss, Hubert Hilbi, Philippe Sansonetti and Junying Yuan. Their work appears in journals such as Frontiers in Aging Neuroscience, Journal of Ethnopharmacology, Journal of Pain Research, Journal of Neurology and Acta Diabetologica.

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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