Alexander de Lahunta

6.1k citations
169 papers · 3.8k indexed · h-index 33

Alexander de Lahunta

166 papers receiving 3.5k citations

Peers

Alexander de Lahunta
Comparison fields: 5 of 119
  • Equine 427
  • Neurology 746
  • Small Animals 539
  • Parasitology 355
  • Clinical Biochemistry 230
Replace Brian A. Summers with:
Brian A. Summers United States
G. Diane Shelton United States
J. F. Cummings United States
Beth A. Valentine United States
Natasha J. Olby United States
Gayle C. Johnson United States
Andrea Tipold Germany
Alexander deLahunta United States
Richard A. LeCouteur United States
M. Vandevelde Switzerland
Alexander de Lahunta relative to Brian A. Summers United States Brian A. Summers's profile →
Citations per field
00.5×2.7×
Brian A. Summers · 1×
Citations per year

Countries citing papers authored by Alexander de Lahunta

Since Specialization
Citations

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

Fields of papers citing papers by Alexander de Lahunta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander de Lahunta. 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 Alexander de Lahunta. The network helps show where Alexander de Lahunta may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20197
2 201517
3 201315
4 201019
5
Classifying involuntary muscle contractions
200614
6 200697
7 20050
8 20051
9 200557
10 200552
11 200511
12 20027
13 199410
14 19939
15
Equine motor neuron disease: a new cause of weakness, trembling, and weight loss
199221
16 19924
17 19789
18 19717
19 197031
20 197012

About Alexander de Lahunta

Alexander de Lahunta is a scholar working on Equine, Neurology and Small Animals, having authored 169 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neurological diseases and metabolism (45 papers), Veterinary Equine Medical Research (18 papers), Hereditary Neurological Disorders (16 papers), Veterinary Orthopedics and Neurology (14 papers), Helminth infection and control (12 papers), Metabolism and Genetic Disorders (11 papers), Plant Toxicity and Pharmacological Properties (10 papers) and Neurogenetic and Muscular Disorders Research (10 papers). The work is most often cited by research in Equine (427 citations), Neurology (746 citations) and Small Animals (539 citations). Alexander de Lahunta has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include J. F. Cummings, Beth A. Valentine, Brian A. Summers, Barry J. Cooper, Thomas J. Divers, Scott J. Schatzberg, Drew M. Noden, Hussni O. Mohammed, Simon R. Platt and Laurent Garosi. Their work appears in journals such as Neurology, Annals of the New York Academy of Sciences and Infection and Immunity.

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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