Kwang‐Huei Lin

26.5k citations
188 papers · 6.2k indexed · h-index 46
Topics
Thyroid Disorders and Treatments (38 papers)Cancer-related molecular mechanisms research (27 papers)Estrogen and related hormone effects (25 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Kwang‐Huei Lin

187 papers receiving 6.1k citations

Peers

Kwang‐Huei Lin
Comparison fields: 5 of 124
  • Molecular Biology 3.4k
  • Cancer Research 1.8k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Oncology 923
  • Epidemiology 910
Replace Miranda Van Eck with:
Miranda Van Eck Netherlands
Zhiyong Guo China
Annik Prat Canada
Nancy R. Webb United States
Yukihiro Nishio Japan
Xianxin Hua United States
Sean B. Joseph United States
Frank Dombrowski Germany
Rakesh Kumar United States
Lorraine A. O’Reilly Australia
Kwang‐Huei Lin relative to Miranda Van Eck Netherlands Miranda Van Eck's profile →
Citations per field
00.5×1.5×
Miranda Van Eck · 1×
Citations per year

Countries citing papers authored by Kwang‐Huei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kwang‐Huei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwang‐Huei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Huei Lin. A scholar is included among the top collaborators of Kwang‐Huei 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 Kwang‐Huei Lin. Kwang‐Huei 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
1 2
2 7
3 26
4 3
5 10
6 15
7 20
8 8
9 127
10 3
11 92
12 50
13 21
14 8
15 24
16 108
17 47
18 23
19 8
20 16

About Kwang‐Huei Lin

Kwang‐Huei Lin is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 188 papers that have together received 6.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (38 papers), Cancer-related molecular mechanisms research (27 papers) and Estrogen and related hormone effects (25 papers). The work is most often cited by research in Cancer Research (1.8k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Molecular Biology (3.4k citations). Kwang‐Huei Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chau‐Ting Yeh, Hsiang‐Cheng Chi, Ya‐Hui Huang, Chung‐Ying Tsai, Ming-Ming Tsai, Sheue-yann Cheng, Chia‐Siu Wang, Yu‐Chin Liu, Wei-Jan Chen and Yang-Hsiang Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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