Ching‐Chu Lu

1.0k citations
31 papers · 380 · h-index 11

Impact in

Papers in

Ching‐Chu Lu

30 papers receiving 378 citations

Peers

Ching‐Chu Lu
Comparison fields: 5 of 38
  • Endocrinology, Diabetes and Metabolism 198
  • Surgery 130
  • Radiology, Nuclear Medicine and Imaging 68
  • Neurology 34
  • Rheumatology 26
Replace Chia-Hung Kao with:
Chia-Hung Kao Taiwan
Paolo Brazzarola Italy
Pietro Modugno Italy
Tarık Terzioğlu Türkiye
SW Cheng China
Giorgio Faganello Italy
Wichert J. Kuijt Netherlands
Pavlos Stougiannos Greece
Deepu Nair United States
Karl-Johan Tötterman Finland
Ching‐Chu Lu relative to Chia-Hung Kao Taiwan Chia-Hung Kao's profile →
Citations per field
00.5×9.8×
Chia-Hung Kao · 1×
Citations per year

Countries citing papers authored by Ching‐Chu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201642
3 201623
4 201922
5 201619
6 201417
7 201117
8 202216
9 202014
10 202311
11 201910
12 20189
13 20208
14 20148
15 20228
16 20188
17 20227
18 20236
19 20256
20 20155

About Ching‐Chu Lu

Ching‐Chu Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Neurology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 380 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (21 papers), Adrenal and Paraganglionic Tumors (5 papers), Adrenal Hormones and Disorders (3 papers), Neuroblastoma Research and Treatments (2 papers), Cardiac Imaging and Diagnostics (2 papers), Sodium Intake and Health (1 paper), Neurological disorders and treatments (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (198 citations), Surgery (130 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Neurology (34 citations) and Rheumatology (26 citations). Ching‐Chu Lu has collaborated with scholars based in Taiwan, United States and Norway. Frequent co-authors include Kai‐Yuan Tzen, Ruoh‐Fang Yen, Vin‐Cent Wu, Shih‐Chieh Chueh, Mei‐Fang Cheng, Yen‐Wen Wu, Kwan‐Dun Wu, Kao‐Lang Liu, Wei‐Chou Lin and Yen‐Hung Lin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Oncotarget, Therapeutic Advances in Chronic Disease, Journal of Nuclear Medicine and Journal of Hypertension.

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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