Su-Fen Pu

586 citations
13 papers · 482 · h-index 8

Impact in

Papers in

Su-Fen Pu

12 papers receiving 473 citations

Peers

Su-Fen Pu
Comparison fields: 5 of 62
  • Developmental Neuroscience 83
  • Cellular and Molecular Neuroscience 240
  • Endocrinology, Diabetes and Metabolism 94
  • Neurology 77
  • Physiology 124
Replace Mitsuhiro Otani with:
Mitsuhiro Otani Japan
Ryosuke Takahashi Japan
Lisa Tanzer United States
Alfred V. Vasconcellos United States
Chin Lik Tan United Kingdom
Fumi Urano Japan
Gülgün Şengül Türkiye
Shih‐Hsiu J. Wang United States
Klaus Unsicker Germany
L. M. E. Smit Netherlands
Su-Fen Pu relative to Mitsuhiro Otani Japan Mitsuhiro Otani's profile →
Citations per field
00.5×4.3×
Mitsuhiro Otani · 1×
Citations per year

Countries citing papers authored by Su-Fen Pu

Since Specialization
Citations

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

Fields of papers citing papers by Su-Fen Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Fen Pu. 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 Su-Fen Pu. The network helps show where Su-Fen Pu may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1994115
2 1996101
3 200992
4 199557
5 199948
6 199425
7 199420
8 199916
9 19944
10 20212
11 20241
12
[Effect of electroacupuncture tolerance by different frequencies on the cardiovascular inhibition of spinal opioid peptides of the rats].
19921
13 20250

About Su-Fen Pu

Su-Fen Pu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 13 papers that have together received 482 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Pain Mechanisms and Treatments (4 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers), Healthcare and Venom Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Acupuncture Treatment Research Studies (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Developmental Neuroscience (83 citations), Cellular and Molecular Neuroscience (240 citations), Endocrinology, Diabetes and Metabolism (94 citations), Neurology (77 citations) and Physiology (124 citations). Su-Fen Pu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hui-Xin Zhuang, D.N. Ishii, Douglas N. Ishii, Gordon W. Glazner, Donald J. Marsh, Jinjun Liang, Bin Zhu, Jean E. Merrill, Brian D. Harvey and Ji‐Sheng Han. Their work appears in journals such as Journal of Clinical Oncology, Experimental Neurology, Neuropeptides, Journal of Thoracic Oncology and Brain Research.

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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