Ding‐Feng Su

205 papers receiving 9.6k citations

Ding‐Feng Su's Hit Papers

NLRP3 inflammasome and its inhibitors: a review 2015 · 741 citations
7410+4+8Years since publication5001k1.5k

Peers

Ding‐Feng Su
Comparison fields: 5 of 137
  • Geriatrics and Gerontology 345
  • Neurology 731
  • Cardiology and Cardiovascular Medicine 2.1k
  • Rheumatology 935
  • Genetics 1.1k
Replace Yi Zhu with:
Yi Zhu United States
Giovanni Guido Camici Switzerland
Brian N. Finck United States
Nicolas Musi United States
Tamar Pirtskhalava United States
Daniel Henrion France
Kei Sakamoto Japan
Yong Hua Ji China
Yu Wang Hong Kong
Jason K. Kim United States
Ding‐Feng Su relative to Yi Zhu United States Yi Zhu's profile →
Citations per field
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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 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetics of rheumatoid arthritis contributes to biology and drug discovery
Hit paper breakdown →
20131837
2
NLRP3 inflammasome and its inhibitors: a review
Hit paper breakdown →
2015741
3 2012291
4 2016284
5 2008276
6 2011264
7 2013226
8 2016199
9 2015192
10 2015163
11 2013162
12 2014125
13 2006123
14 2007119
15 2008109
16 2001108
17 2014103
18 2010101
19 201698
20 201693

About Ding‐Feng Su

Ding‐Feng Su is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Epidemiology, Endocrine and Autonomic Systems and Physiology, having authored 207 papers that have together received 9.8k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (60 papers), Blood Pressure and Hypertension Studies (55 papers), Renin-Angiotensin System Studies (18 papers), Acute Ischemic Stroke Management (15 papers), Nitric Oxide and Endothelin Effects (13 papers), Vagus Nerve Stimulation Research (10 papers), Nicotinic Acetylcholine Receptors Study (10 papers) and Sepsis Diagnosis and Treatment (7 papers). The work is most often cited by research in Geriatrics and Gerontology (345 citations), Neurology (731 citations), Cardiology and Cardiovascular Medicine (2.1k citations), Rheumatology (935 citations) and Genetics (1.1k citations). Ding‐Feng Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Chao‐Yu Miao, Bo‐Zong Shao, Chong Liu, Zhe‐Qi Xu, Xia Liu, Pei Wang, Fu‐Ming Shen, Yun‐Feng Guan, He‐Hui Xie and Tian‐Ying Xu. Their work appears in journals such as Acta Pharmacologica Sinica, Clinical and Experimental Pharmacology and Physiology, Journal of Cardiovascular Pharmacology, CNS Neuroscience & Therapeutics 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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