Hang‐Long Li

30 papers receiving 659 citations

Peers

Hang‐Long Li
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 157
  • Geriatrics and Gerontology 22
  • Physiology 136
  • Cardiology and Cardiovascular Medicine 114
  • Pharmacy 9
Replace Giacomo Gastaldi with:
Giacomo Gastaldi Switzerland
Valeria Frighi United Kingdom
S. Velho Portugal
Lingjuan Zhu China
Sohyun Chun South Korea
Maria Masulli Italy
Shaul Yaari Israel
Manuj Sharma United Kingdom
Koichiro Kadota Japan
Hang‐Long Li relative to Giacomo Gastaldi Switzerland Giacomo Gastaldi's profile →
Citations per field
00.5×3.7×
Giacomo Gastaldi · 1×
Citations per year

Countries citing papers authored by Hang‐Long Li

Since Specialization
Citations

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

Fields of papers citing papers by Hang‐Long Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang‐Long Li. 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 Hang‐Long Li. The network helps show where Hang‐Long Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Hang‐Long Li, 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 Hang‐Long Li Line = papers co-authored together Hang‐Long Li 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 2021137
2 202174
3 202273
4 202164
5 202152
6 202230
7 202128
8 202223
9 202222
10 202220
11 202117
12 202117
13 202112
14 202212
15 202312
16 202211
17 202111
18 20239
19 20236
20 20236

About Hang‐Long Li

Hang‐Long Li is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 31 papers that have together received 665 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Nutrition and Health in Aging (5 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Obesity, Physical Activity, Diet (1 paper) and Potassium and Related Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (157 citations), Geriatrics and Gerontology (22 citations), Physiology (136 citations), Cardiology and Cardiovascular Medicine (114 citations) and Pharmacy (9 citations). Hang‐Long Li has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Ching‐Lung Cheung, Bernard M.Y. Cheung, Kai‐Hang Yiu, Hung‐Fat Tse, Ian Chi Kei Wong, Man Fung Tsoi, Gregory Y.H. Lip, Philip Chun-Ming Au, Qi Feng and Q W Ren. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cardiovascular Diabetology, Journal of the American Heart Association, The Lancet Regional Health - Western Pacific and Diabetes Obesity and Metabolism.

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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