Linqi Chen

1.0k citations
66 papers · 565 · h-index 15

Impact in

Papers in

Linqi Chen

60 papers receiving 559 citations

Peers

Linqi Chen
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 154
  • Reproductive Medicine 68
  • Endocrine and Autonomic Systems 31
  • Cancer Research 54
  • Biological Psychiatry 8
Replace Hitoshi Ishimoto with:
Hitoshi Ishimoto Japan
Michel Berger France
Emi Ishikawa Japan
Jody L. Allen United Kingdom
Betty Lawrence United States
Michael A. Reed United States
Julia Prague United Kingdom
Karin Mossberg Sweden
Masako Oya Masuda Brazil
Xiaoti Lin China
Linqi Chen relative to Hitoshi Ishimoto Japan Hitoshi Ishimoto's profile →
Citations per field
00.5×2.8×
Hitoshi Ishimoto · 1×
Citations per year

Countries citing papers authored by Linqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201938
3 202028
4 201423
5 201923
6 201722
7 201520
8 201919
9 200717
10 201517
11 202316
12 202116
13 201916
14 200814
15 202014
16 202213
17 201812
18 201912
19 202112
20 201911

About Linqi Chen

Linqi Chen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Electrical and Electronic Engineering, having authored 66 papers that have together received 565 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Perovskite Materials and Applications (8 papers), Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (7 papers), Strong Light-Matter Interactions (6 papers), Quantum Dots Synthesis And Properties (5 papers), Sexual Differentiation and Disorders (5 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Reproductive Medicine (68 citations), Endocrine and Autonomic Systems (31 citations), Cancer Research (54 citations) and Biological Psychiatry (8 citations). Linqi Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ting Chen, Haiying Wu, Xiuli Chen, Hongxing Dong, Ji Hu, Yu‐Fang Pei, Chen Fang, Yun Huang, Long Zhang and Wei Xie. Their work appears in journals such as Frontiers in Endocrinology, International Journal of Biological Sciences, Nano Letters, Laser & Photonics Review and Diabetes Metabolic Syndrome and Obesity.

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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