A Mackenthun

11 papers receiving 438 citations

Peers

A Mackenthun
Comparison fields: 5 of 64
  • Small Animals 111
  • Anesthesiology and Pain Medicine 69
  • Pharmacology 45
  • Endocrinology, Diabetes and Metabolism 57
  • Pharmacology 41
Replace Nozomu Yoshimura with:
Nozomu Yoshimura Japan
B Walton United Kingdom
Raymond Miller United States
C Kahn United States
Maija Kirvela Finland
R. F. Johnson United States
Evan L. Frederickson United States
Kristin C. Carlsson Petri Denmark
Norman James Halliday United Kingdom
Malcolm Cox United States
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Citations per field
00.5×5×10×13.9×
Nozomu Yoshimura · 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 23 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

11 of 11 papers shown
#Work
1 1979144
2 199893
3 199889
4 199366
5
Alterations of plasma high-density lipoprotein cholesterol levels associated with consumption of selected medications. The Lipid Research Clinics Program Prevalence Study.
198035
6 198527
7 198420
8 198018
9 200118
10
[Phenotypes Pi MS, MZ alpha, antitrypsin and lung disease].
19761
11 20231

About A Mackenthun

A Mackenthun is a scholar working on Anesthesiology and Pain Medicine, Small Animals, Pharmacology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 512 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Anesthesia and Sedative Agents (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Analytical Methods in Pharmaceuticals (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Small Animals (111 citations), Anesthesiology and Pain Medicine (69 citations), Pharmacology (45 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Pharmacology (41 citations). A Mackenthun has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Elizabeth Barrett‐Connor, Joanne Hoover, Donald B. Hunninghake, Gerardo M HEISS, Sandee M. Hartsfield, Nora S. Matthews, BRIAN J. ROBINSON, Thomas J. Ebert, Toni D. Uhrich and Richard E. Gammans. Their work appears in journals such as The Lancet, British Journal of Clinical Pharmacology, CHEST Journal, The Journal of Clinical Pharmacology and Biopharmaceutics & Drug Disposition.

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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