F. N. Fastier

589 citations
23 papers · 347 · h-index 9

Impact in

Papers in

F. N. Fastier

23 papers receiving 293 citations

Peers

F. N. Fastier
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 54
  • Cellular and Molecular Neuroscience 63
  • Cardiology and Cardiovascular Medicine 66
  • Endocrine and Autonomic Systems 16
  • Physiology 52
Replace A. Oberdorf with:
A. Oberdorf Germany
Marjorie E. Perkins United States
Guy Leach United Kingdom
Andrew J. Bilski United Kingdom
Allan D. Bass United States
Katsumi Ikezono Japan
Jake Weeks United States
B. Berde Japan
Siret D. Jaanus United States
D S Feldman United States
F. N. Fastier relative to A. Oberdorf Germany A. Oberdorf's profile →
Citations per field
00.5×1.5×2.3×
A. Oberdorf · 1×
Citations per year

Countries citing papers authored by F. N. Fastier

Since Specialization
Citations

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

Fields of papers citing papers by F. N. Fastier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. N. Fastier. 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 F. N. Fastier. The network helps show where F. N. Fastier may publish in the future.

Co-authors

The 12 scholars most cited alongside F. N. Fastier, 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 F. N. Fastier Line = papers co-authored together F. N. Fastier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197467
2 195345
3 196235
4 195932
5 195831
6 195725
7 195925
8 195618
9 195114
10 19808
11 19738
12 19587
13 19726
14 19514
15 19513
16 19543
17 19563
18 19573
19 19522
20 19792

About F. N. Fastier

F. N. Fastier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Cardiology and Cardiovascular Medicine and Surgery, having authored 23 papers that have together received 347 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience of respiration and sleep (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pharmacological Effects and Assays (2 papers), Synthesis and Reactions of Organic Compounds (2 papers) and Pain Management and Placebo Effect (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (54 citations), Cellular and Molecular Neuroscience (63 citations), Cardiology and Cardiovascular Medicine (66 citations), Endocrine and Autonomic Systems (16 citations) and Physiology (52 citations). F. N. Fastier has collaborated with scholars based in New Zealand, United Kingdom and Russia. Frequent co-authors include Chandler McC. Brooks, R. D. H. Stewart, J. B. Howie, T. H. KENNEDY, Dawn Adams, J. G. Blackman, R. N. SPEDEN, Rosemary Beresford, H. Blaschko and Kenneth M. Taylor. Their work appears in journals such as New Zealand Veterinary Journal, British Journal of Pharmacology, Immunology and Cell Biology, Journal of Pharmacology and Experimental Therapeutics and The Journal of Physiology.

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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