Wang Ling-lin

941 citations
32 papers · 842 · h-index 15

Impact in

Papers in

Wang Ling-lin

30 papers receiving 831 citations

Peers

Wang Ling-lin
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 260
  • Cardiology and Cardiovascular Medicine 294
  • Physiology 291
  • Biochemistry 78
  • Behavioral Neuroscience 31
Replace Vadim F. Sagach with:
Vadim F. Sagach Ukraine
Lin Yao China
Yoshikuni Kimura Japan
Chen-Chun Ou Taiwan
Fadia Mayyas Jordan
Luciana Vergnani Italy
Yoshihisa Nasa Japan
Michael Z. Cicha United States
Mi‐Kyung Shin United States
Nicholas Knight United Kingdom
Wang Ling-lin relative to Vadim F. Sagach Ukraine Vadim F. Sagach's profile →
Citations per field
00.5×3.4×
Vadim F. Sagach · 1×
Citations per year

Countries citing papers authored by Wang Ling-lin

Since Specialization
Citations

This map shows the geographic impact of Wang Ling-lin'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 Wang Ling-lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ling-lin more than expected).

Fields of papers citing papers by Wang Ling-lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang Ling-lin. 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 Wang Ling-lin. The network helps show where Wang Ling-lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Wang Ling-lin, 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 Wang Ling-lin Line = papers co-authored together Wang Ling-lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005183
2 2001106
3 200476
4 200475
5 200756
6 200351
7 200550
8 200149
9 199933
10 200223
11 201022
12 200422
13 200321
14 200317
15 201514
16 200311
17
Analysis on China's Importing Petroleum Transport Channel Safety and Countermeasures
20144
18 20244
19
Pollution Characteristics and Sources of Carbonyl Compounds in Zhengzhou Ambient Air of Winter and Summer
20143
20 20163

About Wang Ling-lin

Wang Ling-lin is a scholar working on Endocrine and Autonomic Systems, Physiology, Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Complementary and alternative medicine, having authored 32 papers that have together received 842 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (9 papers), Nitric Oxide and Endothelin Effects (7 papers), Heart Rate Variability and Autonomic Control (4 papers), Acupuncture Treatment Research Studies (3 papers), Renin-Angiotensin System Studies (3 papers), Healthcare and Venom Research (2 papers), Traditional Chinese Medicine Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (260 citations), Cardiology and Cardiovascular Medicine (294 citations), Physiology (291 citations), Biochemistry (78 citations) and Behavioral Neuroscience (31 citations). Wang Ling-lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Julie Y.H. Chan, Samuel H.H. Chan, Chen-Chun Ou, Kay L. H. Wu, Chiung‐Chun Huang, Kuei‐Sen Hsu, Shu‐Huei Wang, Ming‐Hong Tai, Hui-Yun Li and Julie Y.H. Chan. Their work appears in journals such as Circulation, British Journal of Pharmacology, Hypertension, Free Radical Biology and Medicine and Head & Neck.

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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