Andrea M. Nolan

2.7k total citations
43 papers, 2.0k citations indexed

About

Andrea M. Nolan is a scholar working on Small Animals, Physiology and Genetics. According to data from OpenAlex, Andrea M. Nolan has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Small Animals, 16 papers in Physiology and 14 papers in Genetics. Recurrent topics in Andrea M. Nolan's work include Pain Mechanisms and Treatments (15 papers), Human-Animal Interaction Studies (12 papers) and Veterinary Pharmacology and Anesthesia (11 papers). Andrea M. Nolan is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Human-Animal Interaction Studies (12 papers) and Veterinary Pharmacology and Anesthesia (11 papers). Andrea M. Nolan collaborates with scholars based in United Kingdom, United States and Netherlands. Andrea M. Nolan's co-authors include Sharron Dolan, Jacqueline Reid, Lesley Wiseman‐Orr, E. M. Scott, Elizabeth M. Welsh, G. Gettinby, Julie L. Fitzpatrick, Derek Flaherty, Elizabeth Welsh and Paulo V. Steagall and has published in prestigious journals such as Pain, Anesthesiology and International Journal of Pharmaceutics.

In The Last Decade

Andrea M. Nolan

42 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrea M. Nolan United Kingdom 25 1.3k 527 427 426 403 43 2.0k
A. Nolan United Kingdom 20 1.3k 1.0× 353 0.7× 178 0.4× 326 0.8× 253 0.6× 44 1.9k
C. A. Tony Buffington United States 39 1.7k 1.3× 957 1.8× 475 1.1× 334 0.8× 290 0.7× 130 4.0k
J. V. Roughan United Kingdom 26 1.4k 1.1× 166 0.3× 446 1.0× 240 0.6× 323 0.8× 56 2.0k
A.E. Waterman United Kingdom 29 1.9k 1.4× 224 0.4× 496 1.2× 608 1.4× 744 1.8× 100 2.6k
A. E. Waterman‐Pearson United Kingdom 24 1.9k 1.5× 343 0.7× 305 0.7× 785 1.8× 566 1.4× 39 2.4k
Jonathan N. King Switzerland 28 971 0.7× 229 0.4× 125 0.3× 498 1.2× 307 0.8× 84 2.0k
L.J. Hellebrekers Netherlands 26 1.3k 1.0× 117 0.2× 232 0.5× 348 0.8× 635 1.6× 92 2.1k
Paulo V. Steagall Canada 32 2.6k 2.0× 617 1.2× 437 1.0× 955 2.2× 1.1k 2.6× 140 3.1k
A. Nolan United Kingdom 23 1.1k 0.9× 206 0.4× 171 0.4× 419 1.0× 399 1.0× 40 1.4k
Jeff C. Ko United States 25 1.2k 0.9× 597 1.1× 85 0.2× 237 0.6× 510 1.3× 89 2.2k

Countries citing papers authored by Andrea M. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Andrea M. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea M. Nolan. 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 Andrea M. Nolan. The network helps show where Andrea M. Nolan may publish in the future.

Co-authorship network of co-authors of Andrea M. Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea M. Nolan. A scholar is included among the top collaborators of Andrea M. Nolan 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 Andrea M. Nolan. Andrea M. Nolan 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
1.
Scott, E. M., Vinny Davies, Andrea M. Nolan, et al.. (2021). Validity and Responsiveness of the Generic Health-Related Quality of Life Instrument (VetMetrica™) in Cats With Osteoarthritis. Comparison of Vet and Owner Impressions of Quality of Life Impact. Frontiers in Veterinary Science. 8. 733812–733812. 10 indexed citations
2.
Rodger, Susan H., et al.. (2021). Effect of Age, Breed, and Sex on the Health-Related Quality of Life of Owner Assessed Healthy Dogs. Frontiers in Veterinary Science. 8. 603139–603139. 11 indexed citations
3.
Scott, Marian, et al.. (2017). Pain assessment in companion animals: an update. In Practice. 39(10). 446–451. 4 indexed citations
4.
Sandercock, Dale A., Ian F. Gibson, Kenny Rutherford, et al.. (2011). The impact of prenatal stress on basal nociception and evoked responses to tail-docking and inflammatory challenge in juvenile pigs. Physiology & Behavior. 104(5). 728–737. 29 indexed citations
5.
Dolan, Sharron, et al.. (2011). Activation of metabotropic glutamate receptor 7 in spinal cord inhibits pain and hyperalgesia in a novel formalin model in sheep. Behavioural Pharmacology. 22(5 and 6). 582–588. 24 indexed citations
6.
7.
Sandercock, Dale A., Ian F. Gibson, H. M. Brash, et al.. (2009). Development of a mechanical stimulator and force measurement system for the assessment of nociceptive thresholds in pigs. Journal of Neuroscience Methods. 182(1). 64–70. 19 indexed citations
8.
Rutherford, Kenny, Sheena K. Robson, Ramona D. Donald, et al.. (2009). Pre-natal stress amplifies the immediate behavioural responses to acute pain in piglets. Biology Letters. 5(4). 452–454. 36 indexed citations
9.
Dolan, Sharron & Andrea M. Nolan. (2006). Blockade of metabotropic glutamate receptor 5 activation inhibits mechanical hypersensitivity following abdominal surgery. European Journal of Pain. 11(6). 644–651. 14 indexed citations
10.
McInnes, Fiona J., Panna Thapa, A J Baillie, et al.. (2005). In vivo evaluation of nicotine lyophilised nasal insert in sheep. International Journal of Pharmaceutics. 304(1-2). 72–82. 25 indexed citations
11.
12.
Wiseman‐Orr, Lesley, Andrea M. Nolan, Jacqueline Reid, & E. M. Scott. (2004). Development of a questionnaire to measure the effects of chronic pain on health-related quality of life in dogs. American Journal of Veterinary Research. 65(8). 1077–1084. 154 indexed citations
13.
Nolan, Andrea M., et al.. (2002). Massive scale air interface reciprocity (motion) survey of a PHS network. 1. 297–300. 2 indexed citations
14.
Bettschart‐Wolfensberger, Regula, et al.. (2001). Cardiopulmonary effects of prolonged anesthesia via propofol-medetomidine infusion in ponies. American Journal of Veterinary Research. 62(9). 1428–1435. 31 indexed citations
15.
Dolan, Sharron, et al.. (2000). The role of nitric oxide and prostaglandin signaling pathways in spinal nociceptive processing in chronic inflammation. Pain. 86(3). 311–320. 36 indexed citations
16.
Nolan, Andrea M., et al.. (1999). Total Intravenous Anesthesia in Greyhounds: Pharmacokinetics of Propofol and Fentanyl—MA Preliminary Study. Veterinary Surgery. 28(6). 513–524. 29 indexed citations
17.
Nolan, Andrea M., et al.. (1998). Comparison of three methods used for assessment of pain in dogs. Journal of the American Veterinary Medical Association. 212(1). 61–66. 208 indexed citations
18.
Welsh, Elizabeth M. & Andrea M. Nolan. (1995). The effect of abdominal surgery on thresholds to thermal and mechanical stimulation in sheep. Pain. 60(2). 159–166. 37 indexed citations
19.
Hall, Leslie, E. Lagerweij, Andrea M. Nolan, & John W. Sear. (1994). Effect of medetomidine on the pharmacokinetics of propofol in dogs. American Journal of Veterinary Research. 55(1). 116–120. 22 indexed citations
20.
Nolan, Andrea M., et al.. (1987). Techniques for comparison of thermal and mechanical nociceptive stimuli in the sheep. Journal of Pharmacological Methods. 17(1). 39–49. 80 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026