Li‐Chuan Chang

28 papers receiving 552 citations

Peers

Li‐Chuan Chang
Comparison fields: 5 of 82
  • Behavioral Neuroscience 46
  • Reproductive Medicine 69
  • Public Health, Environmental and Occupational Health 219
  • Critical Care and Intensive Care Medicine 34
  • Physiology 180
Replace Alicja Szklarska with:
Alicja Szklarska Poland
Monika Łopuszańska-Dawid Poland
Susan W. Groth United States
Natasa Kollia Greece
Mohamad Badie Taha United States
Karly M. Murphy United States
Joan Fowler Shaver United States
Kristen Anne Farrell United States
Venkatram Padmalatha India
Li‐Chuan Chang relative to Alicja Szklarska Poland Alicja Szklarska's profile →
Citations per field
00.5×5×11.3×
Alicja Szklarska · 1×
Citations per year

Countries citing papers authored by Li‐Chuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li‐Chuan Chang, 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 Li‐Chuan Chang Line = papers co-authored together Li‐Chuan Chang 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
Whole-blood serotonin in premenstrual syndrome.
1987156
2 201464
3 201433
4 198930
5 198829
6 201825
7 201325
8 198924
9 201224
10 201122
11 201321
12 197119
13
Mood and cognitive style in premenstrual syndrome.
198917
14 201815
15 202013
16 198813
17 201811
18 201611
19 20127
20 20207

About Li‐Chuan Chang

Li‐Chuan Chang is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Critical Care and Intensive Care Medicine, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 29 papers that have together received 591 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (9 papers), Menstrual Health and Disorders (4 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Obesity, Physical Activity, Diet (2 papers), Asthma and respiratory diseases (2 papers), Respiratory and Cough-Related Research (2 papers), Thermal Regulation in Medicine (2 papers) and Reproductive Health and Technologies (2 papers). The work is most often cited by research in Behavioral Neuroscience (46 citations), Reproductive Medicine (69 citations), Public Health, Environmental and Occupational Health (219 citations), Critical Care and Intensive Care Medicine (34 citations) and Physiology (180 citations). Li‐Chuan Chang has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Anthony E. Reading, Andrea J. Rapkin, Yi-Wen Cathy Tsai, Tung‐Ping Su, Michael T. McGuire, John F. Kerin, Liang‐Kung Chen, Shu-Ti Chiou, Hai‐Yen Sung and Yu-Wen Wen. Their work appears in journals such as Journal of the American Medical Directors Association, Journal of Pediatric Nursing, Journal of Reproductive and Infant Psychology, Journal of the American Geriatrics Society and Tobacco Control.

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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