Michael A. Tones

27 papers receiving 997 citations

Peers

Michael A. Tones
Comparison fields: 5 of 90
  • Sensory Systems 55
  • Cellular and Molecular Neuroscience 198
  • Cardiology and Cardiovascular Medicine 224
  • Pharmaceutical Science 51
  • Molecular Biology 563
Replace Christian Ried with:
Christian Ried Germany
Cristina Goso Italy
Thierry Bordet France
Masaaki Kageyama Japan
Susan I. V. Judge United States
Karen T. Y. Shaw United States
Andrea Thiele Germany
Núria Comes Spain
Peter Heining Switzerland
Takatoshi Soga Japan
Michael A. Tones relative to Christian Ried Germany Christian Ried's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Michael A. Tones

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Tones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984172
2 2015161
3 2007133
4 198961
5 199661
6 200245
7 199344
8 200843
9
The agonist selectivity of a class III metabotropic glutamate receptor, human mGluR4a, is determined by the N-terminal extracellular domain.
199540
10 201838
11 200937
12 200127
13 201122
14 198822
15 201518
16 202416
17 201714
18 198513
19 201410
20 20159

About Michael A. Tones

Michael A. Tones is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Oncology and Organic Chemistry, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), RNA Research and Splicing (2 papers), Chemical Synthesis and Analysis (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Click Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Sensory Systems (55 citations), Cellular and Molecular Neuroscience (198 citations), Cardiology and Cardiovascular Medicine (224 citations), Pharmaceutical Science (51 citations) and Molecular Biology (563 citations). Michael A. Tones has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include D. P. Harding, P POOLEWILSON, Patrick D.V. Bourdillon, Terry C. Major, Wenlin Li, Steven L. Roberds, Gregory M. Preston, Nalini Sadagopan, Peter J. Flor and Thomas Knöpfel. Their work appears in journals such as GeroScience, Biochemical Society Transactions, Journal of Molecular and Cellular Cardiology, Scientific Reports and FEBS Letters.

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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