Song‐Ping Han

45 papers receiving 2.0k citations

Hit Papers

Electroacupuncture: mechanisms and clinical application 1998 · 542 citations
5420+9+18Years since publication100200300400500

Peers

Song‐Ping Han
Comparison fields: 5 of 118
  • Complementary and alternative medicine 623
  • Behavioral Neuroscience 107
  • Pharmacy 125
  • Endocrinology, Diabetes and Metabolism 396
  • Cognitive Neuroscience 449
Replace Mieko Kurosawa with:
Mieko Kurosawa Japan
Osamu Miyamoto Japan
Mandana Ashrafi Iran
James L. Henry Canada
L. Peyrin France
Stanisław J. Chrapusta Poland
J. Thomas Cunningham United States
Glenn M. Toney United States
Suk‐Yu Yau Hong Kong
Boris Mravec Slovakia
Song‐Ping Han relative to Mieko Kurosawa Japan Mieko Kurosawa's profile →
Citations per field
00.5×4.6×
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 →
1998542
2 2008353
3 1990106
4 199886
5 199869
6 201866
7 201666
8 201765
9 201453
10 201351
11 201749
12 201945
13 201245
14 200843
15 201737
16 199833
17 201626
18 202026
19 199721
20 202021

About Song‐Ping Han

Song‐Ping Han is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmacy and Complementary and alternative medicine, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (13 papers), Neuropeptides and Animal Physiology (10 papers), Infant Health and Development (10 papers), Acupuncture Treatment Research Studies (9 papers), Autism Spectrum Disorder Research (7 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 (623 citations), Behavioral Neuroscience (107 citations), Pharmacy (125 citations), Endocrinology, Diabetes and Metabolism (396 citations) and Cognitive Neuroscience (449 citations). Song‐Ping Han has collaborated with scholars based in China, United States and Germany. 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, European Journal of Pharmacology, Frontiers in Cellular Neuroscience 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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