Hsiao-Ling Wu

1.2k citations
27 papers · 1.0k · h-index 15

Impact in

Papers in

    • Receptor Mechanisms and Signaling 10
    • Protein Kinase Regulation and GTPase Signaling 4
    • Asthma and respiratory diseases 6
    • Nitric Oxide and Endothelin Effects 6

Hsiao-Ling Wu

27 papers receiving 948 citations

Peers

Hsiao-Ling Wu
Comparison fields: 5 of 97
  • Physiology 374
  • Endocrine and Autonomic Systems 97
  • Cellular and Molecular Neuroscience 258
  • Immunology and Allergy 85
  • Immunology 281
Replace Toni Paladino with:
Toni Paladino Canada
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J M Allen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Hsiao-Ling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Ling Wu. 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 Hsiao-Ling Wu. The network helps show where Hsiao-Ling Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001255
2 2000145
3 198389
4 199961
5 198457
6 199456
7 199651
8
SKF 104353, a high affinity antagonist for human and guinea pig lung leukotriene D4 receptor, blocked phosphatidylinositol metabolism and thromboxane synthesis induced by leukotriene D4.
198748
9 198545
10 198441
11 200121
12 199420
13 199918
14 198418
15 199617
16 200011
17 199910
18 20109
19 19979
20 20018

About Hsiao-Ling Wu

Hsiao-Ling Wu is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Asthma and respiratory diseases (6 papers), Nitric Oxide and Endothelin Effects (6 papers), Neuropeptides and Animal Physiology (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Metalloenzymes and iron-sulfur proteins (3 papers) and Inorganic Chemistry and Materials (3 papers). The work is most often cited by research in Physiology (374 citations), Endocrine and Autonomic Systems (97 citations), Cellular and Molecular Neuroscience (258 citations), Immunology and Allergy (85 citations) and Immunology (281 citations). Hsiao-Ling Wu has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Stanley T. Crooke, Seymour Mong, G. Kurt Hogaboom, Ponnal Nambi, Laura R. Fitzgerald, Derk J. Bergsma, Mike A. Clark, George Dytko, Shelagh Wilson and Lisa Vawter. Their work appears in journals such as European Journal of Pharmacology, Molecular and Cellular Biochemistry, Pharmacology, Molecular Pharmacology and Journal of Biological Chemistry.

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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