Peter Clements

700 total citations
24 papers, 421 citations indexed

About

Peter Clements is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Clements has authored 24 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Clements's work include Neuroscience and Neural Engineering (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Animal testing and alternatives (4 papers). Peter Clements is often cited by papers focused on Neuroscience and Neural Engineering (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Animal testing and alternatives (4 papers). Peter Clements collaborates with scholars based in United Kingdom, United States and Netherlands. Peter Clements's co-authors include Brian R. Berridge, F. R. Sale, David R. Sargan, Cheryl Y. Gregory, Chris Denning, Arne Hansen, Matthias Rinke, Yoshimasa Okazaki, Abraham Nyska and Monique Y. Wells and has published in prestigious journals such as Cell stem cell, British Journal of Pharmacology and The Annual Review of Pharmacology and Toxicology.

In The Last Decade

Peter Clements

21 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Clements United Kingdom 10 182 105 65 59 47 24 421
Carole Crittenden United States 8 216 1.2× 82 0.8× 116 1.8× 138 2.3× 29 0.6× 10 385
Jessica L. Simmers United States 6 286 1.6× 37 0.4× 23 0.4× 25 0.4× 39 0.8× 9 457
Ara Arutunyan United States 11 146 0.8× 182 1.7× 35 0.5× 66 1.1× 25 0.5× 12 411
Thomas Williams United Kingdom 13 125 0.7× 30 0.3× 62 1.0× 113 1.9× 165 3.5× 39 510
Souhrid Mukherjee United States 8 163 0.9× 83 0.8× 102 1.6× 23 0.4× 24 0.5× 10 422
Oliver Keminer Germany 13 374 2.1× 18 0.2× 46 0.7× 36 0.6× 37 0.8× 24 711
Wenchun Chen United States 15 167 0.9× 74 0.7× 28 0.4× 48 0.8× 125 2.7× 30 746
Eduardo Fernández-Segura Spain 12 229 1.3× 14 0.1× 37 0.6× 84 1.4× 34 0.7× 28 514
Guoping Zhang China 11 117 0.6× 34 0.3× 38 0.6× 18 0.3× 38 0.8× 37 416
Shishkin Ss Russia 11 353 1.9× 27 0.3× 47 0.7× 43 0.7× 25 0.5× 71 495

Countries citing papers authored by Peter Clements

Since Specialization
Citations

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

Fields of papers citing papers by Peter Clements

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Clements

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Clements. A scholar is included among the top collaborators of Peter Clements based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Clements. Peter Clements is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vaidyanathan, Ravi, Sarah Dickerson, Simon Hilcove, et al.. (2024). Strengthening cardiac therapy pipelines using human pluripotent stem cell-derived cardiomyocytes. Cell stem cell. 31(3). 292–311. 8 indexed citations
2.
Wallace, I. R., J Bayliss, Andrew J. Brown, et al.. (2023). CardioMotion: identification of functional and structural cardiotoxic liabilities in small molecules through brightfield kinetic imaging. Toxicological Sciences. 195(1). 61–70. 6 indexed citations
3.
Yang, Hongbin, Amy Pointon, Olga Obrezanova, et al.. (2022). Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning. Stem Cell Reports. 17(3). 556–568. 12 indexed citations
4.
Yang, Hongbin, Olga Obrezanova, Amy Pointon, et al.. (2022). Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning. Toxicology and Applied Pharmacology. 459. 116342–116342. 8 indexed citations
5.
Mannhardt, Ingra, Umber Saleem, Diogo Mosqueira, et al.. (2020). Comparison of 10 Control hPSC Lines for Drug Screening in an Engineered Heart Tissue Format. Stem Cell Reports. 15(4). 983–998. 44 indexed citations
6.
Clements, Peter, et al.. (2019). Improved method for the catheterization of the right ventricle in a rat model of pulmonary artery hypertension. Interactive Cardiovascular and Thoracic Surgery. 30(4). 535–537.
7.
Mohanan, Sunish, Sean Maguire, Jan Klapwijk, et al.. (2019). Evolving the Role of Discovery-focused Pathologists and Comparative Scientists in the Pharmaceutical Industry. Toxicologic Pathology. 47(2). 121–128. 3 indexed citations
8.
Korte, Tessa de, Puspita Anggraini Katili, Berend J. van Meer, et al.. (2019). Unlocking Personalized Biomedicine and Drug Discovery with Human Induced Pluripotent Stem Cell–Derived Cardiomyocytes: Fit for Purpose or Forever Elusive?. The Annual Review of Pharmacology and Toxicology. 60(1). 529–551. 26 indexed citations
9.
Korte, Tessa de, Berend J. van Meer, Ana Krotenberg García, et al.. (2019). Simultaneous measurement of contraction, voltage and calcium in HIPSC-CMS for the detection of inotropic effects under blinded conditions. Journal of Pharmacological and Toxicological Methods. 99. 106595–106595.
10.
11.
Cross, Michael, Brian R. Berridge, Peter Clements, et al.. (2014). Physiological, pharmacological and toxicological considerations of drug‐induced structural cardiac injury. British Journal of Pharmacology. 172(4). 957–974. 60 indexed citations
12.
Reus, Astrid, Julia Kenny, Peter Clements, et al.. (2012). The in vivo rat skin photomicronucleus assay: phototoxicity and photogenotoxicity evaluation of six fluoroquinolones. Mutagenesis. 27(6). 721–729. 17 indexed citations
13.
Reus, Astrid, Merve Usta, Wilfred Maas, et al.. (2010). Development and characterization of an in vivo skin photomicronucleus assay in rats. Mutagenesis. 25(4). 407–416. 9 indexed citations
14.
Clements, Peter, S.F. Brady, Malcolm J. York, et al.. (2010). Time Course Characterization of Serum Cardiac Troponins, Heart Fatty Acid–binding Protein, and Morphologic Findings With Isoproterenol-induced Myocardial Injury in the Rat. Toxicologic Pathology. 38(5). 703–714. 58 indexed citations
15.
Owen, Bryn M., Alexandra Milona, Saskia W. C. van Mil, et al.. (2009). Intestinal Detoxification Limits the Activation of Hepatic Pregnane X Receptor by Lithocholic Acid. Drug Metabolism and Disposition. 38(1). 143–149. 24 indexed citations
16.
17.
Cléments, David R., R. Harmsen, & Peter Clements. (1991). A mechanistic simulation to complement an empirical transition matrix model of acarine population dynamics. Ecological Modelling. 59(3-4). 257–277. 8 indexed citations
18.
Wood, R.W. & Peter Clements. (1986). Systematic evaluation strategies for computer-based music instruction systems. The Journal of Computer Based Instruction. 13(1). 17–24. 1 indexed citations
19.
Clements, Peter. (1980). Musical Data Structures in a Multi-Use Environment.. The Journal of the Abraham Lincoln Association. 1 indexed citations
20.
Clements, Peter & F. R. Sale. (1976). A mass spectrometric study of nickel tetracarbonyl, iron pentacarbonyl and binary mixtures of these compounds. Metallurgical Transactions B. 7(2). 171–176. 11 indexed citations

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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2026