Michael Peach

213 papers receiving 12.9k citations

Michael Peach's Hit Papers

Excitation energies in density functional theory: An evaluation and a diagnostic test 2008 · 1.3k citations
1.3k0+16+32Years since publication4008001.2k

Peers

Michael Peach
Comparison fields: 5 of 164
  • Cardiology and Cardiovascular Medicine 5.1k
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Physical and Theoretical Chemistry 1.2k
  • Biochemistry 816
  • Physiology 2.5k
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Countries citing papers authored by Michael Peach

Since Specialization
Citations

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

Fields of papers citing papers by Michael Peach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Excitation energies in density functional theory: An evaluation and a diagnostic test
Hit paper breakdown →
20081252
2
Renin-angiotensin system: biochemistry and mechanisms of action.
Hit paper breakdown →
19771208
3
Angiotensin II induces hypertrophy, not hyperplasia, of cultured rat aortic smooth muscle cells.
Hit paper breakdown →
1988965
4 2005443
5 1992426
6 1991354
7 2011336
8 1982283
9 2012214
10 1992206
11 1989199
12 1993186
13 1982182
14 2009175
15 1981162
16 1988156
17 1988155
18 1992154
19 1989152
20 1989150

About Michael Peach

Michael Peach is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 218 papers that have together received 14.0k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (60 papers), Nitric Oxide and Endothelin Effects (33 papers), Receptor Mechanisms and Signaling (31 papers), Hormonal Regulation and Hypertension (30 papers), Neuropeptides and Animal Physiology (25 papers), Protein Hydrolysis and Bioactive Peptides (19 papers), Advanced Chemical Physics Studies (18 papers) and Spectroscopy and Quantum Chemical Studies (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.1k citations), Endocrinology, Diabetes and Metabolism (2.3k citations), Physical and Theoretical Chemistry (1.2k citations), Biochemistry (816 citations) and Physiology (2.5k citations). Michael Peach has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include David J. Tozer, Trygve Ulf Helgaker, Robert M. Carey, Gary K. Owens, Harold A. Singer, Kevin R. Lynch, Robert L. Chevalier, R. Ariel Gómez, Jo Anne Saye and Alex L. Loeb. Their work appears in journals such as Circulation Research, Hypertension, Endocrinology, American Journal of Physiology-Renal Physiology and Journal of Pharmacology and Experimental Therapeutics.

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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