Hai‐Lei Ding

1.5k citations
41 papers · 1.1k · h-index 20

Impact in

Papers in

Hai‐Lei Ding

40 papers receiving 1.1k citations

Peers

Hai‐Lei Ding
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 315
  • Behavioral Neuroscience 58
  • Physiology 388
  • Developmental Neuroscience 53
  • Endocrine and Autonomic Systems 79
Replace Gareth J. Hathway with:
Gareth J. Hathway United Kingdom
József Farkas Hungary
Masami Miura Japan
Atsushi Takaki Japan
Diane Lane United States
Hita Adwanikar United States
Daisuke Maruyama Japan
Renée R. Donahue United States
Takeshi Kaneko Japan
Zaorui Zhao United States
Hai‐Lei Ding relative to Gareth J. Hathway United Kingdom Gareth J. Hathway's profile →
Citations per field
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Gareth J. Hathway · 1×
Citations per year

Countries citing papers authored by Hai‐Lei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Lei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 200892
3 201779
4 201565
5 200558
6 201757
7 200355
8 201654
9 200550
10 202047
11 200441
12 202133
13 201632
14 201230
15 202126
16 202125
17 202123
18 200522
19 202321
20 202319

About Hai‐Lei Ding

Hai‐Lei Ding is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Ion channel regulation and function (6 papers), Neuropeptides and Animal Physiology (5 papers), Stress Responses and Cortisol (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (315 citations), Behavioral Neuroscience (58 citations), Physiology (388 citations), Developmental Neuroscience (53 citations) and Endocrine and Autonomic Systems (79 citations). Hai‐Lei Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun‐Li Cao, Weizhong Zhu, Jian‐Wen Dong, Zhao-Nian Zhou, Jun-Xia Yang, Hongxing Zhang, Su-Wan Hu, He Liu, Jianhua He and Zeng Yin-ming. Their work appears in journals such as Journal of Neuroscience, Biological Psychiatry, Current Biology, Anesthesiology and genesis.

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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