Gary R. Matzke

5.8k citations
147 papers · 4.2k indexed · h-index 34

Gary R. Matzke

142 papers receiving 4.0k citations

Peers

Gary R. Matzke
Comparison fields: 5 of 139
  • Nephrology 673
  • Pharmacology 1.5k
  • Applied Microbiology and Biotechnology 150
  • Geriatrics and Gerontology 288
  • Pharmacology 593
Replace Roger W. Jelliffe with:
Roger W. Jelliffe United States
Bruce A. Mueller United States
Daan J. Touw Netherlands
Carl M. J. Kirkpatrick Australia
George R. Bailie United States
Ferenc Folláth Switzerland
George R. Aronoff United States
John N. van den Anker United States
Henry Gault Canada
Isabel Spriet Belgium
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Citations per field
00.5×3.0×
Roger W. Jelliffe · 1×
Citations per year

Countries citing papers authored by Gary R. Matzke

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Matzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary R. Matzke. 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 Gary R. Matzke. The network helps show where Gary R. Matzke may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Improvements in MBD lab outcomes associated with improved pharmaceutical care in hemodialysis patients.
20171
2 201287
3 201053
4 2006177
5 20061
6 200617
7 20028
8 200039
9 199829
10 199718
11 1996125
12 199628
13 199437
14 199014
15 199016
16 198723
17 198721
18 198735
19
Renal hemodynamic and humoral effects of pinacidil and hydralazine in essential hypertension
19862
20
Acute phenytoin and primidone intoxication
19811

About Gary R. Matzke

Gary R. Matzke is a scholar working on Geriatrics and Gerontology, Pharmacology and Pharmacology, having authored 147 papers that have together received 4.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (54 papers), Pharmacogenetics and Drug Metabolism (22 papers), Pharmacological Effects and Toxicity Studies (22 papers), Pharmaceutical studies and practices (19 papers), Pharmaceutical Practices and Patient Outcomes (15 papers), Dialysis and Renal Disease Management (14 papers), Antibiotic Resistance in Bacteria (14 papers) and Poisoning and overdose treatments (10 papers). The work is most often cited by research in Nephrology (673 citations), Pharmacology (1.5k citations) and Applied Microbiology and Biotechnology (150 citations). Gary R. Matzke has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include David R.P. Guay, Reginald F. Frye, C E Halstenson, George G. Zhanel, William F. Keane, Charles E. Halstenson, John A. Opsahl, W. F. Keane, R. McGory and Phillip K. Peterson. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Kidney International.

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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