John‐Michael Sauer

3.1k citations
44 papers · 1.9k indexed · h-index 20

John‐Michael Sauer

44 papers receiving 1.8k citations

Peers

John‐Michael Sauer
Comparison fields: 5 of 122
  • Pharmacology 687
  • Pharmacology 275
  • Psychiatry and Mental health 440
  • Cellular and Molecular Neuroscience 335
  • Toxicology 61
Replace Joseph C. Fleishaker with:
Joseph C. Fleishaker United States
Ramakrishna Nirogi India
Sheila Dawling United Kingdom
Satoshi Yamaori Japan
Carsten Skarke Germany
Ekkehard Haen Germany
John W. Hubbard Canada
Kennerly S. Patrick United States
Milica Prostran Serbia
Mark W. Linder United States
John‐Michael Sauer relative to Joseph C. Fleishaker United States Joseph C. Fleishaker's profile →
Citations per field
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Joseph C. Fleishaker · 1×
Citations per year

Countries citing papers authored by John‐Michael Sauer

Since Specialization
Citations

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

Fields of papers citing papers by John‐Michael Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John‐Michael Sauer. 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 John‐Michael Sauer. The network helps show where John‐Michael Sauer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202044
2 201745
3 201717
4 201623
5 201535
6 20123
7 20114
8 201114
9 201012
10 201014
11 20099
12 2005180
13 200453
14 200388
15 2002441
16 200279
17 2001141
18 19976
19 199771
20 199718

About John‐Michael Sauer

John‐Michael Sauer is a scholar working on Pharmacology, Statistics and Probability and Pharmacology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Treatment of Major Depression (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Statistical Methods in Clinical Trials (6 papers), Biosimilars and Bioanalytical Methods (6 papers), Biomedical Ethics and Regulation (4 papers), Attention Deficit Hyperactivity Disorder (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Pharmacology (687 citations), Pharmacology (275 citations) and Psychiatry and Mental health (440 citations). John‐Michael Sauer has collaborated with scholars based in United States, Japan and Malaysia. Frequent co-authors include Jennifer Witcher, Stephen B. Hooser, Barbara J. Ring, Amy C. Porter, Christina R. Wilson, I.G. Sipes, George G. Nomikos, Jingqi Bao, Michael D. Knierman and Christian C. Felder. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Toxicological Sciences, Toxicology, Experimental Biology and Medicine and Drug Metabolism and 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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