Sheng Deng

1.4k citations
48 papers · 873 · h-index 18

Impact in

Papers in

Sheng Deng

47 papers receiving 863 citations

Peers

Sheng Deng
Comparison fields: 5 of 96
  • Developmental Neuroscience 44
  • Pharmacology 77
  • Cellular and Molecular Neuroscience 154
  • Molecular Medicine 32
  • Pediatrics, Perinatology and Child Health 100
Replace Ping Zhu with:
Ping Zhu China
Xiupeng Xu China
Meng‐Han Tsai Taiwan
Lijie Feng China
Yue Wu China
Yoshikazu Saito Japan
Weihua Chu China
Philippe Couvert France
J. F. Hallpike United Kingdom
Yuze Cao China
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Citations per field
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Citations per year

Countries citing papers authored by Sheng Deng

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng Deng. 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 Sheng Deng. The network helps show where Sheng Deng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 200764
3 200758
4 201451
5 201939
6 200939
7 200737
8 200832
9 200931
10 200629
11 202229
12 202224
13 201323
14
Aspirin protected against endothelial damage induced by LDL: role of endogenous NO synthase inhibitors in rats.
200422
15 201719
16 201418
17 201517
18 202317
19 200415
20 201615

About Sheng Deng

Sheng Deng is a scholar working on Molecular Biology, Genetics, Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 873 indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Antibiotic Resistance in Bacteria (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cystic Fibrosis Research Advances (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (44 citations), Pharmacology (77 citations), Cellular and Molecular Neuroscience (154 citations), Molecular Medicine (32 citations) and Pediatrics, Perinatology and Child Health (100 citations). Sheng Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hao Deng, Wei Zhang, Xiong Deng, Lamei Yuan, Linyong Xu, Yijing He, Thomas Worzfeld, Hong‐Hao Zhou, Rohini Kuner and Stefan Offermanns. Their work appears in journals such as PLoS ONE, Molecular Neurobiology, Medicine, Clinical Therapeutics and Frontiers in Pharmacology.

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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