Chieh‐Hua Lu

1.0k citations
62 papers · 679 · h-index 15

Impact in

Papers in

Chieh‐Hua Lu

57 papers receiving 671 citations

Peers

Chieh‐Hua Lu
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 87
  • Rheumatology 70
  • Physiology 101
  • Nephrology 23
  • Pharmacology 54
Replace Sheng‐Chiang Su with:
Sheng‐Chiang Su Taiwan
Miao Chen China
Xiuhua Wu China
Pedrum Mohammadi‐Shemirani Canada
Khanh vinh quốc Lương United States
Hiroshi Satonaka Japan
Agnieszka Adamska Poland
Zidong Zhang United States
Nadia Sawicka‐Gutaj Poland
Elli F. Kamper Greece
Chieh‐Hua Lu relative to Sheng‐Chiang Su Taiwan Sheng‐Chiang Su's profile →
Citations per field
00.5×1.5×2.5×
Sheng‐Chiang Su · 1×
Citations per year

Countries citing papers authored by Chieh‐Hua Lu

Since Specialization
Citations

This map shows the geographic impact of Chieh‐Hua 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‐Hua 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‐Hua Lu more than expected).

Fields of papers citing papers by Chieh‐Hua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 202145
3 201945
4 201836
5 202131
6 201631
7 202028
8 201928
9 202221
10 202217
11 202116
12 201716
13 202015
14 201715
15 201915
16 202113
17 202213
18 202213
19 202212
20 201912

About Chieh‐Hua Lu

Chieh‐Hua Lu is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Molecular Biology, having authored 62 papers that have together received 679 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Nutrition and Health in Aging (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Diabetes Treatment and Management (5 papers), Pancreatic function and diabetes (4 papers), Body Composition Measurement Techniques (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (87 citations), Rheumatology (70 citations), Physiology (101 citations), Nephrology (23 citations) and Pharmacology (54 citations). Chieh‐Hua Lu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chang‐Hsun Hsieh, Po‐Shiuan Hsieh, Yi‐Jen Hung, Sheng‐Chiang Su, Wu‐Chien Chien, Chi‐Hsiang Chung, Jhih‐Syuan Liu, Fu‐Huang Lin, Feng-Chih Kuo and Chien-Hsing Lee. Their work appears in journals such as Journal of Clinical Medicine, PLoS ONE, Medicine, International Journal of Environmental Research and Public Health and Journal of Advanced Nursing.

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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