Alan Norris

6.4k citations
29 papers · 3.9k indexed · 1 hit paper · h-index 16

Alan Norris

29 papers receiving 3.8k citations

Hit Papers

Drug repurposing: progress, challenges and recommendations2.9k201820262020202350010001.5k2.0k2.5k

Peers

Alan Norris
Comparison fields: 5 of 148
  • Computational Theory and Mathematics 891
  • Small Animals 266
  • Infectious Diseases 519
  • Molecular Biology 1.6k
  • Pulmonary and Respiratory Medicine 727
Replace Andrew D. Wells with:
Andrew D. Wells United States
Timothy G. Myers United States
Emily Crawford United States
Philippe Sanséau United Kingdom
L. H. Schmidt Germany
Dirk B. Mendel United States
Katherine J. Escott United Kingdom
Philippe Bernard France
Curtis R. Chong United States
David Cavalla United States
Alan Norris relative to Andrew D. Wells United States Andrew D. Wells's profile →
Citations per field
00.5×4.9×
Andrew D. Wells · 1×
Citations per year

Countries citing papers authored by Alan Norris

Since Specialization
Citations

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

Fields of papers citing papers by Alan Norris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Drug repurposing: progress, challenges and recommendationsbreakdown →
20182940
2 20061
3 200545
4 200119
5 20018
6 20007
7 20005
8 199721
9 199630
10 199646
11 1996177
12 19958
13 199574
14 199537
15 199437
16
Type III von Willebrand's disease in Scottish terriers: A report of two cases.
199311
17 199225
18 1992172
19 199014
20 19891

About Alan Norris

Alan Norris is a scholar working on Immunology and Allergy, Small Animals and Physiology, having authored 29 papers that have together received 3.9k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), Veterinary Oncology Research (8 papers), Allergic Rhinitis and Sensitization (4 papers), Virus-based gene therapy research (2 papers), Drug-Induced Adverse Reactions (2 papers), Ocular Surface and Contact Lens (2 papers), Veterinary Medicine and Surgery (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Computational Theory and Mathematics (891 citations), Small Animals (266 citations) and Infectious Diseases (519 citations). Alan Norris has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Munir Pirmohamed, Andrew J. Doig, David Cavalla, Shirley Hopper, Sudeep Pushpakom, Katherine J. Escott, Tim Guilliams, Christine J. McNamee, Patrick A. Eyers and Joanna Latimer. Their work appears in journals such as Journal of Veterinary Internal Medicine, European Respiratory Journal, Veterinary Clinics of North America Small Animal Practice, Advances in Therapy and Journal of the American Veterinary Medical Association.

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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