Jiunn‐Diann Lin

834 citations
68 papers · 590 indexed · h-index 15
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers)Adipokines, Inflammation, and Metabolic Diseases (12 papers)Metabolism, Diabetes, and Cancer (12 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
TaiwanUnited StatesItaly

In The Last Decade

Jiunn‐Diann Lin

67 papers receiving 578 citations

Peers

Jiunn‐Diann Lin
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 268
  • Epidemiology 145
  • Molecular Biology 142
  • Cardiology and Cardiovascular Medicine 77
  • Physiology 63
Replace Jin Ook Chung with:
Jin Ook Chung South Korea
Sinem Kıyıcı Türkiye
Melek Eda Ertörer Türkiye
Yvonne Winhofer Austria
Sung Dae Moon South Korea
Candeğer Yılmaz Türkiye
Beatrice Lupsa United States
Cevdet Duran Türkiye
Yang Ho Kang South Korea
Sang Ah Lee South Korea
Jiunn‐Diann Lin relative to Jin Ook Chung South Korea Jin Ook Chung's profile →
Citations per field
00.5×1.6×
Jin Ook Chung · 1×
Citations per year

Countries citing papers authored by Jiunn‐Diann Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiunn‐Diann Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiunn‐Diann Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiunn‐Diann Lin. A scholar is included among the top collaborators of Jiunn‐Diann Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiunn‐Diann Lin. Jiunn‐Diann Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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5 1
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7 8
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10 18
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13 9
14 0
15 4
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17 26
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20 30

About Jiunn‐Diann Lin

Jiunn‐Diann Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology, having authored 68 papers that have together received 590 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Nephrology (33 citations) and Epidemiology (145 citations). Jiunn‐Diann Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Chung‐Ze Wu, Dee Pei, Chao‐Wen Cheng, Chang‐Hsun Hsieh, Kam‐Tsun Tang, Chun‐Hsien Hsu, Yuan‐Hung Wang, Yen‐Lin Chen, Yuh‐Feng Lin and Ying‐Chin Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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