Ying-Fu Su

684 citations
15 papers · 563 · h-index 10

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Pain Mechanisms and Treatments
    • Nitric Oxide and Endothelin Effects
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology

Papers in

Ying-Fu Su

14 papers receiving 534 citations

Peers

Ying-Fu Su
Comparison fields: 5 of 77
  • Physiology 75
  • Cellular and Molecular Neuroscience 148
  • Endocrine and Autonomic Systems 34
  • Physiology 130
  • Developmental Neuroscience 20
Replace O. W. Peterson with:
O. W. Peterson United States
Charlene M. Hohl United States
M. Grohmann Germany
Eric E. Lloyd United States
Erik P. Silldorff United States
Philipp Ostwald Germany
Bing Zhao China
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Gordon G. MacGregor United States
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Ying-Fu Su relative to O. W. Peterson United States O. W. Peterson's profile →
Citations per field
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O. W. Peterson · 1×
Citations per year

Countries citing papers authored by Ying-Fu Su

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Fu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1974125
2 199392
3 198868
4 199866
5 199350
6 199037
7 198233
8 199232
9 198728
10 201216
11 19925
12
Bactericidal antibiotics increase tumor necrosis factor-alpha and cardiac output in rats after cecal ligation and puncture.
19945
13 19883
14 19793
15 20210

About Ying-Fu Su

Ying-Fu Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 15 papers that have together received 563 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Neuroscience of respiration and sleep (2 papers), Neonatal Health and Biochemistry (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Physiology (75 citations), Cellular and Molecular Neuroscience (148 citations), Endocrine and Autonomic Systems (34 citations), Physiology (130 citations) and Developmental Neuroscience (20 citations). Ying-Fu Su has collaborated with scholars based in United States and Taiwan. Frequent co-authors include John P. Perkins, Kwen‐Jen Chang, Richard B. Clark, W. David Watkins, Claude A. Piantadosi, Robert W. McNutt, Steven G. Simonson, Andrew T. Canada, Helene Benveniste and Jing Zhang. Their work appears in journals such as Anesthesiology, Journal of Vascular Surgery, Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Life Sciences.

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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