Jiangwei Ding

525 citations
31 papers · 335 indexed · h-index 10

Impact in

Papers in

Jiangwei Ding

30 papers receiving 329 citations

Peers

Jiangwei Ding
Comparison fields: 5 of 61
  • Neurology 49
  • Biological Psychiatry 13
  • Psychiatry and Mental health 75
  • Cellular and Molecular Neuroscience 77
  • Genetics 36
Replace Barbara Pijet with:
Barbara Pijet Poland
Alyssa R. Espinera United States
Anna Fricano Italy
Eva Pigna Italy
Zen‐ichi Tanei Japan
Pamela Rosso Italy
Kristin Barañano United States
Philip H. Iffland United States
Dylan W. Maixner United States
Jiangwei Ding relative to Barbara Pijet Poland Barbara Pijet's profile →
Citations per field
00.5×2.8×
Barbara Pijet · 1×
Citations per year

Countries citing papers authored by Jiangwei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202152
3 201943
4 201226
5 202118
6 202215
7 202213
8 202211
9 202211
10 20229
11 20229
12 20219
13 20219
14 20228
15 20217
16 20227
17 20225
18 20224
19 20194
20 20242

About Jiangwei Ding

Jiangwei Ding is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 31 papers that have together received 335 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Epilepsy research and treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Vagus Nerve Stimulation Research (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Neurological disorders and treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Neurology (49 citations), Biological Psychiatry (13 citations), Psychiatry and Mental health (75 citations), Cellular and Molecular Neuroscience (77 citations) and Genetics (36 citations). Jiangwei Ding has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Tao Sun, Feng Wang, Wenchao Li, Yangyang Wang, Xinxiao Li, Lei Wang, Wei Zhao, Yifan Zhang, Qing Sheng and Haiyan Tian. Their work appears in journals such as Frontiers in Neurology, Frontiers in Psychiatry, Neuropeptides, Epilepsy Research and Cell Death and Disease.

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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