Shaoda Lin

716 citations
28 papers · 525 · h-index 14

Impact in

Papers in

Shaoda Lin

27 papers receiving 519 citations

Peers

Shaoda Lin
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 216
  • Rehabilitation 52
  • Nephrology 43
  • Geriatrics and Gerontology 16
  • Occupational Therapy 18
Replace Ching‐Jung Hsieh with:
Ching‐Jung Hsieh Taiwan
Zeynel Abidin Sayıner Türkiye
Marc Gregory Yu Philippines
Weiling Leng China
A Ciavarella Italy
Ching Fai Kwok Taiwan
Jacob Bejder Denmark
Guang Zhang China
Silvia Briganti Italy
Ernesto Rodríguez-Ayala Mexico
Shaoda Lin relative to Ching‐Jung Hsieh Taiwan Ching‐Jung Hsieh's profile →
Citations per field
00.5×5.3×
Ching‐Jung Hsieh · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201953
3 201642
4 201341
5 201336
6 201731
7 201530
8 201526
9 201726
10 201518
11 201917
12 201415
13
Nicotinic Acid Receptor GPR109A Exerts Anti-Inflammatory Effects Through Inhibiting the Akt/mTOR Signaling Pathway in MIN6 Pancreatic β cells.
201713
14
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
15 201411
16 201011
17 202410
18 20088
19 20138
20 20248

About Shaoda Lin

Shaoda Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Surgery, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 28 papers that have together received 525 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Birth, Development, and Health (3 papers), Diabetes and associated disorders (2 papers), Diabetes Treatment and Management (2 papers), Renin-Angiotensin System Studies (2 papers), Diabetes Management and Education (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Rehabilitation (52 citations), Nephrology (43 citations), Geriatrics and Gerontology (16 citations) and Occupational Therapy (18 citations). Shaoda Lin has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yong Lan, Wencan Xu, Guoshu Yin, Nasui Wang, Kun Lin, Jianping Weng, Yu‐Cai Fu, Jinhua Yan, Rongping Chen and Lishu Chen. Their work appears in journals such as Frontiers in Endocrinology, Medicine, Journal of Diabetes, Diabetes/Metabolism Research and Reviews and PLoS ONE.

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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