A Mackenthun

488 citations
8 papers · 379 · h-index 7

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
    • Veterinary Pharmacology and Anesthesia

Papers in

A Mackenthun

8 papers receiving 339 citations

Peers

A Mackenthun
Comparison fields: 5 of 67
  • Equine 34
  • Small Animals 103
  • Anesthesiology and Pain Medicine 66
  • Endocrinology, Diabetes and Metabolism 112
  • Developmental Neuroscience 21
Replace Lois A. Wetmore with:
Lois A. Wetmore United States
James B. Yee United States
Domenico Pietrini Italy
Alessandro Vergari Italy
Om P. Khanna United States
G. W. Dahlenburg Australia
Kjell Ahlén United States
Meon Lamont United Kingdom
Takashi Nagura Japan
B Thalme Sweden
A Mackenthun relative to Lois A. Wetmore United States Lois A. Wetmore's profile →
Citations per field
00.5×50×112×
Lois A. Wetmore · 1×
Citations per year

Countries citing papers authored by A Mackenthun

Since Specialization
Citations

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

Fields of papers citing papers by A Mackenthun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside A Mackenthun, 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 A Mackenthun Line = papers co-authored together A Mackenthun links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1979136
2 199885
3 199884
4
Alterations of plasma high-density lipoprotein cholesterol levels associated with consumption of selected medications. The Lipid Research Clinics Program Prevalence Study.
198033
5 198017
6 200116
7 19806
8
[Phenotypes Pi MS, MZ alpha, antitrypsin and lung disease].
19762

About A Mackenthun

A Mackenthun is a scholar working on Small Animals, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Cancer Research and Surgery, having authored 8 papers that have together received 379 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (2 papers), Anesthesia and Sedative Agents (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Blood properties and coagulation (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Meat and Animal Product Quality (1 paper), Anesthesia and Pain Management (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Equine (34 citations), Small Animals (103 citations), Anesthesiology and Pain Medicine (66 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Developmental Neuroscience (21 citations). A Mackenthun has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joanne Hoover, Gerardo Heiss, Elizabeth Barrett‐Connor, Nora S. Matthews, Thomas J. Ebert, Toni D. Uhrich, Sandee M. Hartsfield, Brian Robinson, Robert B. Wallace and James F. Hammarsten. Their work appears in journals such as CHEST Journal, The Lancet, Journal of the American Animal Hospital Association, Anesthesiology and Veterinary Surgery.

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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