Su-Fen Pu

589 citations
15 papers · 526 · h-index 8

Impact in

Papers in

Su-Fen Pu

14 papers receiving 501 citations

Peers

Su-Fen Pu
Comparison fields: 5 of 63
  • Developmental Neuroscience 81
  • Cellular and Molecular Neuroscience 248
  • Endocrinology, Diabetes and Metabolism 108
  • Physiology 125
  • Neurology 72
Replace Keith N. Fargo with:
Keith N. Fargo United States
Lisa Tanzer United States
Alfred V. Vasconcellos United States
Bhagat Singh United States
Francesco Boato Germany
Jihui Zhang China
Ryosuke Takahashi Japan
Laura Calvo-Enrique Spain
Dörte Otto Germany
Richard A. Berenberg United States
Su-Fen Pu relative to Keith N. Fargo United States Keith N. Fargo's profile →
Citations per field
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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

15 of 15 papers shown
#Work
1 1994124
2 1996107
3 200996
4 199561
5 199948
6 199431
7 199422
8 199917
9 19996
10 19945
11 20213
12 19963
13 20242
14
[Effect of electroacupuncture tolerance by different frequencies on the cardiovascular inhibition of spinal opioid peptides of the rats].
19921
15 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 Surgery, having authored 15 papers that have together received 526 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Pain Mechanisms and Treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Healthcare and Venom Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Acupuncture Treatment Research Studies (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Cellular and Molecular Neuroscience (248 citations), Endocrinology, Diabetes and Metabolism (108 citations), Physiology (125 citations) and Neurology (72 citations). Su-Fen Pu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Hui-Xin Zhuang, D.N. Ishii, Douglas N. Ishii, Gordon W. Glazner, Donald J. Marsh, Jinjun Liang, Brian D. Harvey, Bin Zhu, Jean E. Merrill and Ji‐Sheng Han. Their work appears in journals such as Journal of Clinical Oncology, Experimental Neurology, Brain Research, Journal of Thoracic Oncology and Pharmacology & Therapeutics.

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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