Huiping Ding

2.3k citations
51 papers · 1.7k · h-index 24

Impact in

Papers in

    • Pain Mechanisms and Treatments 19
    • Alzheimer's disease research and treatments 5
    • Receptor Mechanisms and Signaling 10
    • Ubiquitin and proteasome pathways 4

Huiping Ding

48 papers receiving 1.7k citations

Peers

Huiping Ding
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 633
  • Physiology 707
  • Dermatology 142
  • Molecular Biology 891
  • Biological Psychiatry 29
Replace Jens Furkert with:
Jens Furkert Germany
Francesca Passarelli Italy
Sherry Bursztajn United States
Jes Thorn Clausen Denmark
Shotaro Suzuki Japan
Cherie A. Singer United States
Anja T. Rovio Finland
J Cermák United States
Denise M. Larson United States
Nga Ho United States
Huiping Ding relative to Jens Furkert Germany Jens Furkert's profile →
Citations per field
00.5×4.8×
Jens Furkert · 1×
Citations per year

Countries citing papers authored by Huiping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Huiping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huiping 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 Huiping Ding Line = papers co-authored together Huiping 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 2008322
2 2021173
3 2018106
4 200699
5 201690
6 202084
7 201569
8 202062
9 201154
10 201554
11 201545
12 202042
13 201941
14 200833
15 202129
16 202029
17 202028
18 202028
19 201527
20 201327

About Huiping Ding

Huiping Ding is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Nature and Landscape Conservation and Dermatology, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (10 papers), Alzheimer's disease research and treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), Fish Ecology and Management Studies (4 papers), Dermatology and Skin Diseases (4 papers) and Fish Biology and Ecology Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (633 citations), Physiology (707 citations), Dermatology (142 citations), Molecular Biology (891 citations) and Biological Psychiatry (29 citations). Huiping Ding has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Gail V.W. Johnson, Mei‐Chuan Ko, Philip J. Dolan, Norikazu Kiguchi, Tori A. Matthews, Talene A. Yacoubian, Paul W. Czoty, Shiroh Kishioka, Devki Sukhtankar and Changyu Jiang. Their work appears in journals such as The FASEB Journal, Science Translational Medicine, Biochemical Pharmacology, British Journal of Pharmacology and Neuropharmacology.

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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