Yan‐Chuan Shi

3.3k citations
73 papers · 2.4k indexed · 1 hit paper · h-index 26

Yan‐Chuan Shi

71 papers receiving 2.3k citations

Hit Papers

Osteoporosis pathogenesis and treatment: existing and eme...12120222026202320244080120

Peers

Yan‐Chuan Shi
Comparison fields: 5 of 139
  • Endocrine and Autonomic Systems 739
  • Cellular and Molecular Neuroscience 513
  • Physiology 716
  • Behavioral Neuroscience 94
  • Nutrition and Dietetics 218
Replace Lori M. Zeltser with:
Lori M. Zeltser United States
V. Sibilia Italy
Vijay K. Yadav United States
Mary Brinkoetter United States
Franck Oury France
Vicente Barrios Spain
Rosalı́a Gallego Spain
Erin L. Seifert United States
Fábio Bessa Lima Brazil
Frederik J. Steyn Australia
Yan‐Chuan Shi relative to Lori M. Zeltser United States Lori M. Zeltser's profile →
Citations per field
00.5×1.5×2.4×
Lori M. Zeltser · 1×
Citations per year

Countries citing papers authored by Yan‐Chuan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Chuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Chuan Shi. 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 Yan‐Chuan Shi. The network helps show where Yan‐Chuan Shi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20244
5 202411
6 20239
7 20231
8 20230
9 20227
10 202218
11 202249
12 202119
13 201811
14 201715
15 201740
16 20164
17 201511
18 20144
19 201081
20 200988

About Yan‐Chuan Shi

Yan‐Chuan Shi is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (27 papers), Neuropeptides and Animal Physiology (17 papers), Adipose Tissue and Metabolism (14 papers), Pancreatic function and diabetes (11 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Diabetes and associated disorders (4 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (739 citations), Cellular and Molecular Neuroscience (513 citations) and Physiology (716 citations). Yan‐Chuan Shi has collaborated with scholars based in Australia, China and Austria. Frequent co-authors include Herbert Herzog, Shu Lin, Paul A. Baldock, Kim Loh, Amanda Sainsbury, Amy Nguyen, Ronaldo F. Enriquez, Jackie Lau, Laurence Macia and Bo Liang. Their work appears in journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

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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2026