Ching‐Long Lai

890 citations
28 papers · 702 · h-index 14

Impact in

Papers in

Ching‐Long Lai

28 papers receiving 681 citations

Peers

Ching‐Long Lai
Comparison fields: 5 of 87
  • Pathology and Forensic Medicine 275
  • Endocrine and Autonomic Systems 102
  • Biochemistry 64
  • Physiology 185
  • Epidemiology 163
Replace Solaleh Emamgholipour with:
Solaleh Emamgholipour Iran
Tomasz Brzozowski Poland
Yinli Xu China
Christian Pinna Italy
Ellen Konings Netherlands
Bruno Pillot France
Chih-Ching Yang Taiwan
Fereshteh Golab Iran
Edwin A. Kroeger Canada
Ching‐Long Lai relative to Solaleh Emamgholipour Iran Solaleh Emamgholipour's profile →
Citations per field
00.5×3.6×
Solaleh Emamgholipour · 1×
Citations per year

Countries citing papers authored by Ching‐Long Lai

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Long Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997158
2 199798
3 201373
4 201656
5 200343
6 201440
7 200235
8 200025
9 201523
10 201616
11 201815
12 201215
13 202114
14 201013
15
Heavy binge drinking may increase risk of stroke in nonalcoholic hypertensives carrying variant ALDH2*2 gene allele.
201213
16 199611
17 202011
18 20168
19 20188
20 20227

About Ching‐Long Lai

Ching‐Long Lai is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Epidemiology, Biochemistry and Pharmacology, having authored 28 papers that have together received 702 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (15 papers), Liver Disease Diagnosis and Treatment (8 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cannabis and Cannabinoid Research (3 papers), Ginseng Biological Effects and Applications (3 papers), Gut microbiota and health (2 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (275 citations), Endocrine and Autonomic Systems (102 citations), Biochemistry (64 citations), Physiology (185 citations) and Epidemiology (163 citations). Ching‐Long Lai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shih‐Jiun Yin, John E. Sanderson, Anthony M.‐H. Ho, Chung‐Tay Yao, Chu‐Fang Chou, Lifang Yang, Cheng‐Wei Wu, Chien‐Ping Chiang, Giia‐Sheun Peng and Gar‐Yang Chau. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Nutrients, Chemico-Biological Interactions, Physiologia Plantarum and Pharmacogenetics and Genomics.

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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