Chieh‐Hsiang Lu

29 papers receiving 551 citations

Peers

Chieh‐Hsiang Lu
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 108
  • Rehabilitation 43
  • Pharmacology 59
  • Geriatrics and Gerontology 9
  • Molecular Biology 163
Replace Jing He with:
Jing He China
Bilgen Ekim Üstünel Germany
Katrin Fischhuber Austria
Daqing Zhao China
Changxiang Shi Macao
Yong‐Seok Song United States
Naureen Fatima India
Fabrícia Dietrich Brazil
Zhihui Zhang China
Toyohiko ARIGA Japan
Chieh‐Hsiang Lu relative to Jing He China Jing He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chieh‐Hsiang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chieh‐Hsiang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh‐Hsiang Lu. 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 Chieh‐Hsiang Lu. The network helps show where Chieh‐Hsiang Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201554
3 201241
4 202139
5 201636
6 201836
7 201234
8 201233
9 201928
10 201926
11 201225
12 201416
13 201716
14 202016
15 201815
16 202012
17 201212
18 201812
19 201412
20 20199

About Chieh‐Hsiang Lu

Chieh‐Hsiang Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Organic Chemistry, Molecular Biology and Epidemiology, having authored 29 papers that have together received 558 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Piperaceae Chemical and Biological Studies (2 papers), Diabetes Treatment and Management (2 papers), Magnolia and Illicium research (2 papers), Quinazolinone synthesis and applications (2 papers), Neurological disorders and treatments (2 papers), Autophagy in Disease and Therapy (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (108 citations), Rehabilitation (43 citations), Pharmacology (59 citations), Geriatrics and Gerontology (9 citations) and Molecular Biology (163 citations). Chieh‐Hsiang Lu has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Ying‐Ray Lee, Yun-Ping Lim, Shu‐Hsin Chen, Yi‐Wen Liu, Lee‐Ming Chuang, Shih‐Che Hua, Hong‐Lin Chan, Hsiu‐Chuan Chou, Yi‐Ping Chang and Satoshi Kokubo. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Diabetes Investigation, Life Sciences, Pharmaceutical Research and Diabetes Research and Clinical Practice.

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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