Shinghua Ding

2.9k citations
51 papers · 2.4k · h-index 26

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 1%
    • Adenosine and Purinergic Signaling

Papers in

Shinghua Ding

50 papers receiving 2.3k citations

Peers

Shinghua Ding
Comparison fields: 5 of 120
  • Neurology 618
  • Physiology 295
  • Developmental Neuroscience 226
  • Geriatrics and Gerontology 182
  • Cellular and Molecular Neuroscience 784
Replace Chenjian Li with:
Chenjian Li China
Jun Gao China
Junfang Wu United States
Masafumi Ito Japan
Pingyi Xu China
Sara Xapelli Portugal
John Woulfe Canada
Haiyang Jiang China
Haiwei Xu China
Baorong Zhang China
Shinghua Ding relative to Chenjian Li China Chenjian Li's profile →
Citations per field
00.5×3.8×
Chenjian Li · 1×
Citations per year

Countries citing papers authored by Shinghua Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shinghua Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007216
2 2015206
3 2019194
4 2020156
5 1999154
6 2014110
7 2008107
8 2000107
9 201181
10 201079
11 200574
12 201766
13 201464
14 201556
15 200050
16 201145
17 200244
18 201242
19 201442
20 200338

About Shinghua Ding

Shinghua Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Geriatrics and Gerontology and Epidemiology, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (12 papers), Mitochondrial Function and Pathology (10 papers), Sirtuins and Resveratrol in Medicine (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Ion channel regulation and function (7 papers), Autophagy in Disease and Therapy (7 papers) and Neurological Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Neurology (618 citations), Physiology (295 citations), Developmental Neuroscience (226 citations), Geriatrics and Gerontology (182 citations) and Cellular and Molecular Neuroscience (784 citations). Shinghua Ding has collaborated with scholars based in United States, China and Croatia. Frequent co-authors include Frederick Sachs, Gourav Roy Choudhury, Richard Horn, Philip G. Haydon, Xiaowan Wang, Tiannan Wang, Hermann J. Gruber, Nannan Zhang, Hailong Li and Shui Qing Ye. Their work appears in journals such as Journal of Visualized Experiments, The Journal of General Physiology, Scientific Reports, Neurochemical Research and BMC Neuroscience.

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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