Michael J. Knauer

1.1k citations
25 papers · 603 indexed · h-index 12

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

Michael J. Knauer

21 papers receiving 587 citations

Peers

Michael J. Knauer
Comparison fields: 5 of 91
  • Pharmacology 92
  • Oncology 191
  • Neurology 102
  • Infectious Diseases 118
  • Pediatrics, Perinatology and Child Health 101
Replace Danilo Wegner with:
Danilo Wegner Germany
Júlio César Martins Monte Brazil
Ingrid Fricke-Galindo Mexico
Ganesh Cherala United States
Chengxian Guo China
G. Inselmann Germany
Carlos L. Manrique‐Caballero United States
James J. Ferry United States
In‐Jin Jang South Korea
Michael J. Knauer relative to Danilo Wegner Germany Danilo Wegner's profile →
Citations per field
00.5×4.6×
Danilo Wegner · 1×
Citations per year

Countries citing papers authored by Michael J. Knauer

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Knauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Knauer. 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 Michael J. Knauer. The network helps show where Michael J. Knauer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20244
5 20240
6 202337
7 20231
8 202325
9 202267
10 20213
11 20212
12 20218
13 202111
14 202015
15 20155
16 201451
17 201326
18 20123
19 201265
20 2009176

About Michael J. Knauer

Michael J. Knauer is a scholar working on Medical Laboratory Technology, Clinical Biochemistry, Infectious Diseases, Transplantation and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 603 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (6 papers), COVID-19 Clinical Research Studies (4 papers), Lipoproteins and Cardiovascular Health (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Metabolism and Genetic Disorders (3 papers), SARS-CoV-2 detection and testing (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). The work is most often cited by research in Pharmacology (92 citations), Oncology (191 citations), Neurology (102 citations), Infectious Diseases (118 citations) and Pediatrics, Perinatology and Child Health (101 citations). Michael J. Knauer has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Rommel G. Tirona, Richard B. Kim, Bradley L. Urquhart, Ute I. Schwarz, Henriette E. Meyer zu Schwabedissen, Brenda F. Leake, Logan R. Van Nynatten, Douglas D. Fraser, Gediminas Cepinskas and Maitray A. Patel. Their work appears in journals such as Clinical Biochemistry, Molecular Medicine, Clinical Chemistry, Scientific Reports and Frontiers in Pediatrics.

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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