V. Molony

3.2k citations
59 papers · 2.4k · h-index 27

Impact in

  • Equine top 0.1%
    • Veterinary Equine Medical Research
  • Small Animals top 0.1%
    • Animal Behavior and Welfare Studies
    • Veterinary Pharmacology and Anesthesia

Papers in

    • Veterinary Pharmacology and Anesthesia 17
    • Animal Behavior and Welfare Studies 13
    • Pain Mechanisms and Treatments 16

V. Molony

57 papers receiving 2.2k citations

Peers

V. Molony
Comparison fields: 5 of 105
  • Equine 701
  • Small Animals 1.5k
  • Animal Science and Zoology 689
  • Physiology 514
  • Cellular and Molecular Neuroscience 337
Replace A.E. Waterman with:
A.E. Waterman United Kingdom
Andrea M. Nolan United Kingdom
Y. Ruckebusch France
Craig Johnson New Zealand
A. Livingston United Kingdom
Outi Vainio Finland
Marja Raekallio Finland
Matthew C. Leach United Kingdom
Joanna C. Murrell United Kingdom
B. Essén‐Gustavsson Sweden
V. Molony relative to A.E. Waterman United Kingdom A.E. Waterman's profile →
Citations per field
00.5×1.5×2.4×
A.E. Waterman · 1×
Citations per year

Countries citing papers authored by V. Molony

Since Specialization
Citations

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

Fields of papers citing papers by V. Molony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997324
2 1995180
3 1994143
4 1993128
5 197799
6 199096
7 200293
8 199392
9 199890
10 199784
11 199175
12 199166
13 199562
14 199762
15 199756
16 197948
17 197446
18 197939
19 200037
20 197735

About V. Molony

V. Molony is a scholar working on Small Animals, Physiology, Equine, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (17 papers), Veterinary Equine Medical Research (17 papers), Pain Mechanisms and Treatments (16 papers), Animal Behavior and Welfare Studies (13 papers), Animal Nutrition and Physiology (7 papers), Pharmacological Effects and Assays (6 papers), Advanced Chemical Sensor Technologies (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Equine (701 citations), Small Animals (1.5k citations), Animal Science and Zoology (689 citations), Physiology (514 citations) and Cellular and Molecular Neuroscience (337 citations). V. Molony has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include J.E. Kent, I. S. Robertson, A. Iggo, Fernando Cerveró, D. J. Mellor, Iain J. McKendrick, F. Cervero, B. Hosie, R Eddie Clutton and L. E. Young. Their work appears in journals such as Research in Veterinary Science, The Veterinary Journal, Pain, Equine Veterinary Journal and Veterinary Record.

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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