Song‐Ping Han

45 papers receiving 2.0k citations

Song‐Ping Han's Hit Papers

Electroacupuncture: mechanisms and clinical application 1998 · 561 citations
5610+9+18Years since publication100200300400500

Peers

Song‐Ping Han
Comparison fields: 5 of 114
  • Complementary and alternative medicine 535
  • Behavioral Neuroscience 89
  • Endocrinology, Diabetes and Metabolism 382
  • Pharmacy 107
  • Cognitive Neuroscience 357
Replace Mieko Kurosawa with:
Mieko Kurosawa Japan
Lisete Compagno Michelini Brazil
L. Peyrin France
Benson Wui-Man Lau Hong Kong
Mandana Ashrafi Iran
James L. Henry Canada
Roberto Coccurello Italy
Hong Kim South Korea
J. Thomas Cunningham United States
David J. Levinthal United States
Song‐Ping Han relative to Mieko Kurosawa Japan Mieko Kurosawa's profile →
Citations per field
00.5×
Mieko Kurosawa · 1×
Citations per year

Countries citing papers authored by Song‐Ping Han

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song‐Ping Han. 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 Song‐Ping Han. The network helps show where Song‐Ping Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electroacupuncture: mechanisms and clinical application
Hit paper breakdown →
1998561
2 2008365
3 1990112
4 199891
5 199874
6 201869
7 201769
8 201669
9 201457
10 201752
11 201351
12 200848
13 201946
14 201245
15 201737
16 199834
17 202026
18 201626
19 202023
20 199722

About Song‐Ping Han

Song‐Ping Han is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Pharmacy and Cognitive Neuroscience, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (14 papers), Acupuncture Treatment Research Studies (10 papers), Neuropeptides and Animal Physiology (10 papers), Infant Health and Development (9 papers), Autism Spectrum Disorder Research (6 papers), Pain Mechanisms and Treatments (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). The work is most often cited by research in Complementary and alternative medicine (535 citations), Behavioral Neuroscience (89 citations), Endocrinology, Diabetes and Metabolism (382 citations), Pharmacy (107 citations) and Cognitive Neuroscience (357 citations). Song‐Ping Han has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Ji‐Sheng Han, George A. Ulett, Rong Zhang, Thomas C. Westfall, Linda Naes, Wei Meng, Deborah Hagan, Jean M. Whaley, William N. Washburn and Hongfeng Zhang. Their work appears in journals such as Neuroscience Bulletin, Peptides, Frontiers in Cellular Neuroscience, European Journal of Pharmacology and Physiology & Behavior.

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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