Hong-Da Lin

645 citations
29 papers · 480 indexed · h-index 11

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Diabetic Foot Ulcer Assessment and Management
    • Pituitary Gland Disorders and Treatments
    • Pancreatic function and diabetes

Papers in

Hong-Da Lin

28 papers receiving 456 citations

Peers

Hong-Da Lin
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 311
  • Surgery 134
  • Urology 19
  • Rehabilitation 19
  • Psychiatry and Mental health 40
Replace Giovanna Petrella with:
Giovanna Petrella Italy
Erdinç Serin Türkiye
Mustafa Ali Akın Türkiye
Sabina Martinenghi Italy
Negar G. Knowles United States
Simone Parisi Italy
Mustafa Yılmaz Türkiye
L. S. Hermann Sweden
Miranda Rosenthal United Kingdom
Toru Sawada Japan
Hong-Da Lin relative to Giovanna Petrella Italy Giovanna Petrella's profile →
Citations per field
00.5×1.5×2.5×
Giovanna Petrella · 1×
Citations per year

Countries citing papers authored by Hong-Da Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Da Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20224
3 20165
4 20133
5 20127
6 201014
7 20107
8 200830
9 20076
10 200740
11 200683
12 20061
13 200519
14 200515
15 200411
16 200329
17
Thyrotropin-secreting pituitary adenoma with growth hormone hypersecretion.
20021
18 20005
19 199911
20 19997

About Hong-Da Lin

Hong-Da Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine, Surgery, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 29 papers that have together received 480 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes Management and Research (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adrenal Hormones and Disorders (3 papers), Hormonal and reproductive studies (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (311 citations), Surgery (134 citations), Urology (19 citations), Rehabilitation (19 citations) and Psychiatry and Mental health (40 citations). Hong-Da Lin has collaborated with scholars based in Taiwan and China. Frequent co-authors include Tjin‐Shing Jap, Harn-Shen Chen, Tzu-En Wu, L. Hsiao, Justin G.S. Won, Rai‐Chi Chan, Pi-Chang Sun, Cheng‐Kung Cheng, Yan‐Chiou Ku and Liang‐Yu Lin. Their work appears in journals such as The American Journal of the Medical Sciences, Thyroid, Postgraduate Medical Journal, Medicine and Gynecologic Oncology.

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

Rankless by CCL
2026