Shaoda Lin

698 citations
27 papers · 495 · h-index 13

Impact in

Papers in

Shaoda Lin

26 papers receiving 488 citations

Peers

Shaoda Lin
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 268
  • Rehabilitation 76
  • Occupational Therapy 31
  • Nephrology 47
  • Geriatrics and Gerontology 19
Replace Li Ding with:
Li Ding China
Zeynel Abidin Sayıner Türkiye
Valeria Ruotolo Italy
Margaret L. Shumate United States
Maria Elizabeth Rossi da Silva Brazil
Diaozhu Lin China
Ming‐Chun Kuo Taiwan
Andreas Breenfeldt Andersen Denmark
Meral Mert Türkiye
R. T. Fukui Brazil
Shaoda Lin relative to Li Ding China Li Ding's profile →
Citations per field
00.5×10.5×
Li Ding · 1×
Citations per year

Countries citing papers authored by Shaoda Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shaoda Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201983
2 201949
3 201341
4 201640
5 201335
6 201731
7 201530
8 201726
9 201526
10 201917
11 201415
12
Nicotinic Acid Receptor GPR109A Exerts Anti-Inflammatory Effects Through Inhibiting the Akt/mTOR Signaling Pathway in MIN6 Pancreatic β cells.
201713
13
The Effect of Metformin on the Expression of GPR109A, NF-κB and IL-1β in Peripheral Blood Leukocytes from Patients with Type 2 Diabetes Mellitus.
201713
14 201411
15 201010
16 20249
17 20088
18 20138
19 20247
20 20166

About Shaoda Lin

Shaoda Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 495 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes Treatment and Management (7 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Birth, Development, and Health (3 papers), Diabetes and associated disorders (3 papers), Wound Healing and Treatments (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Rehabilitation (76 citations), Occupational Therapy (31 citations), Nephrology (47 citations) and Geriatrics and Gerontology (19 citations). Shaoda Lin has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yong Lan, Wencan Xu, Nasui Wang, Kun Lin, Yu‐Cai Fu, Jianping Weng, Jinhua Yan, Lishu Chen, De-hong Cai and Rongping Chen. Their work appears in journals such as Frontiers in Endocrinology, Endocrine Research, Medicine, International Journal of Cardiology and Diabetes/Metabolism Research and Reviews.

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.

Explore authors with similar magnitude of impact