Frances V. Abbott

3.6k citations
37 papers · 2.9k indexed · 1 hit paper · h-index 27
Topics
Pain Mechanisms and Treatments (29 papers)Neuropeptides and Animal Physiology (15 papers)Anesthesia and Pain Management (8 papers)
Partner nations
CanadaAustraliaSpain

In The Last Decade

Frances V. Abbott

37 papers receiving 2.8k citations

Hit Papers

The formalin test: scoring properties of the first and se...19952026200520151995100200300400

Peers

Frances V. Abbott
Comparison fields: 5 of 114
  • Physiology 1.7k
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 513
  • Pharmacology 397
  • Surgery 370
Replace Benjamin Kest with:
Benjamin Kest United States
Margarita M. Puig Spain
M.B. Tyers United Kingdom
Gordon Blackburn-Munro Denmark
Backil Sung United States
Grewo Lim United States
Raymond M. Quock United States
Kenneth E. McCarson United States
Olga Pol Spain
T. Philip Malan United States
Frances V. Abbott relative to Benjamin Kest United States Benjamin Kest's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frances V. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Frances V. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances V. Abbott. 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 Frances V. Abbott. The network helps show where Frances V. Abbott may publish in the future.

Co-authorship network of co-authors of Frances V. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Frances V. Abbott. A scholar is included among the top collaborators of Frances V. Abbott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frances V. Abbott. Frances V. Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 210
3 55
4 62
5 81
6 45
7 99
8 50
9 103
10 88
11 34
12 16
13 120
14 25
15 177
16 34
17 64
18 111
19 75
20 122

About Frances V. Abbott

Frances V. Abbott is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (29 papers), Neuropeptides and Animal Physiology (15 papers) and Anesthesia and Pain Management (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (365 citations), Physiology (1.7k citations) and Cellular and Molecular Neuroscience (1.2k citations). Frances V. Abbott has collaborated with scholars based in Canada, Australia and Spain. Frequent co-authors include Keith B.J. Franklin, Ronald Melzack, R. Frederick Westbrook, Roberta M. Palmour, Yanguo Hong, Pierre Blier, Simon N. Young, Charles E. Samuel, Caroline F. Pukall and Yitzchak M. Binik. Their work appears in journals such as Brain Research, Pain 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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