Ding‐Feng Su

4.6k citations
107 papers · 3.9k indexed · h-index 34

Impact in

Papers in

Ding‐Feng Su

106 papers receiving 3.8k citations

Peers

Ding‐Feng Su
Comparison fields: 5 of 129
  • Neurology 617
  • Geriatrics and Gerontology 254
  • Cardiology and Cardiovascular Medicine 975
  • Behavioral Neuroscience 146
  • Endocrine and Autonomic Systems 272
Replace Ding‐Feng Su with:
Ding‐Feng Su China
Chao‐Yu Miao China
Xiaoming Wang China
Gu Seob Roh South Korea
Chia‐Hua Kuo Taiwan
Manuela Aragno Italy
Lin Yan China
Hanrui Zhang United States
Laura E. Nagy United States
Yu‐Ming Kang China
Ding‐Feng Su relative to Ding‐Feng Su China Ding‐Feng Su's profile →
Citations per field
00.5×2.9×
Ding‐Feng Su · 1×
Citations per year

Countries citing papers authored by Ding‐Feng Su

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Feng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding‐Feng Su. 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 Ding‐Feng Su. The network helps show where Ding‐Feng Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012283
2 2016264
3 2011258
4 2013213
5 2015143
6 2014120
7 2007116
8 2008109
9 2001106
10 201690
11 201089
12 201182
13 198668
14 201464
15 201763
16 200161
17 200558
18 200953
19 199951
20 200449

About Ding‐Feng Su

Ding‐Feng Su is a scholar working on Behavioral Neuroscience, Neurology, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Physiology, having authored 107 papers that have together received 3.9k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (34 papers), Vagus Nerve Stimulation Research (13 papers), Neuroscience of respiration and sleep (12 papers), Nicotinic Acetylcholine Receptors Study (12 papers), Stress Responses and Cortisol (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Biochemical effects in animals (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Neurology (617 citations), Geriatrics and Gerontology (254 citations), Cardiology and Cardiovascular Medicine (975 citations), Behavioral Neuroscience (146 citations) and Endocrine and Autonomic Systems (272 citations). Ding‐Feng Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Chao‐Yu Miao, Pei Wang, Yun‐Feng Guan, Xia Liu, Fu‐Ming Shen, Yang Sun, Qiwei Zhai, He‐Hui Xie, Hui Du and Tian‐Ying Xu. Their work appears in journals such as Acta Pharmacologica Sinica, Clinical and Experimental Pharmacology and Physiology, Journal of Cardiovascular Pharmacology, Frontiers in Pharmacology 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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