Daniel R. Riordon

1.1k total citations
28 papers, 747 citations indexed

About

Daniel R. Riordon is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel R. Riordon has authored 28 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel R. Riordon's work include Pluripotent Stem Cells Research (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Ion channel regulation and function (6 papers). Daniel R. Riordon is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Ion channel regulation and function (6 papers). Daniel R. Riordon collaborates with scholars based in United States, Hong Kong and Germany. Daniel R. Riordon's co-authors include Kenneth R. Boheler, Kirill V. Tarasov, David A. Bushinsky, Yelena S. Tarasova, Robert P. Wersto, Edward G. Lakatta, Anna M. Wobus, Sergey V. Anisimov, David Tweedie and Rebekah L. Gundry and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Biophysical Journal.

In The Last Decade

Daniel R. Riordon

26 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Riordon United States 16 499 157 85 77 76 28 747
Hyacinth Sterling United States 14 624 1.3× 69 0.4× 128 1.5× 73 0.9× 92 1.2× 20 886
Ralf Bauer Germany 17 634 1.3× 330 2.1× 137 1.6× 42 0.5× 103 1.4× 46 906
Leigh J. Ellmers New Zealand 15 399 0.8× 374 2.4× 110 1.3× 44 0.6× 51 0.7× 24 896
Qiang Sun China 14 339 0.7× 413 2.6× 131 1.5× 57 0.7× 230 3.0× 53 993
Tao Zhuang China 14 485 1.0× 140 0.9× 49 0.6× 27 0.4× 35 0.5× 21 735
Xiaowei Ma China 10 384 0.8× 222 1.4× 73 0.9× 34 0.4× 39 0.5× 10 666
Florian Alonso Switzerland 20 479 1.0× 101 0.6× 96 1.1× 31 0.4× 54 0.7× 40 855
Robert R. Fandrich Canada 19 784 1.6× 318 2.0× 83 1.0× 31 0.4× 91 1.2× 41 1.1k
Masayo Nakagawa Japan 13 919 1.8× 341 2.2× 70 0.8× 129 1.7× 57 0.8× 17 1.3k
Peter Leenders Netherlands 14 223 0.4× 424 2.7× 65 0.8× 30 0.4× 73 1.0× 27 839

Countries citing papers authored by Daniel R. Riordon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Riordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Riordon. 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 Daniel R. Riordon. The network helps show where Daniel R. Riordon may publish in the future.

Co-authorship network of co-authors of Daniel R. Riordon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Riordon. A scholar is included among the top collaborators of Daniel R. Riordon 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 Daniel R. Riordon. Daniel R. Riordon 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
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Morrell, Christopher H., Jack M. Moen, Melissa Krawczyk, et al.. (2023). A small erythropoietin derived non-hematopoietic peptide reduces cardiac inflammation, attenuates age associated declines in heart function and prolongs healthspan. Frontiers in Cardiovascular Medicine. 9. 1096887–1096887. 1 indexed citations
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Tarasov, Kirill V., et al.. (2022). Proteomic Landscape and Deduced Functions of the Cardiac 14-3-3 Protein Interactome. Cells. 11(21). 3496–3496. 11 indexed citations
6.
Farnoodian, Mitra, Vladimir Khristov, Savitri Maddileti, et al.. (2022). Cell-autonomous lipid-handling defects in Stargardt iPSC-derived retinal pigment epithelium cells. Stem Cell Reports. 17(11). 2438–2450. 20 indexed citations
7.
Zahanich, Ihor, Yue Li, Yevgeniya Lukyanenko, et al.. (2021). Phosphoprotein Phosphatase 1 but Not 2A Activity Modulates Coupled-Clock Mechanisms to Impact on Intrinsic Automaticity of Sinoatrial Nodal Pacemaker Cells. Cells. 10(11). 3106–3106. 6 indexed citations
8.
Monfredi, Oliver, L.А. Maltseva, Kenta Tsutsui, et al.. (2018). Heterogeneity of calcium clock functions in dormant, dysrhythmically and rhythmically firing single pacemaker cells isolated from SA node. Cell Calcium. 74. 168–179. 29 indexed citations
9.
Yamanaka, Satoshi, et al.. (2017). Ascorbic acid promotes cardiomyogenesis through SMAD1 signaling in differentiating mouse embryonic stem cells. PLoS ONE. 12(12). e0188569–e0188569. 8 indexed citations
10.
Riordon, Daniel R. & Kenneth R. Boheler. (2017). Immunophenotyping of Live Human Pluripotent Stem Cells by Flow Cytometry. Methods in molecular biology. 1722. 127–149. 4 indexed citations
11.
Lukyanenko, Yevgeniya, Antoine Younès, Alexey E. Lyashkov, et al.. (2016). Ca2+/calmodulin-activated phosphodiesterase 1A is highly expressed in rabbit cardiac sinoatrial nodal cells and regulates pacemaker function. Journal of Molecular and Cellular Cardiology. 98. 73–82. 31 indexed citations
12.
Boheler, Kenneth R., Sandra Chuppa, Daniel R. Riordon, et al.. (2014). A Human Pluripotent Stem Cell Surface N-Glycoproteome Resource Reveals Markers, Extracellular Epitopes, and Drug Targets. Stem Cell Reports. 3(1). 185–203. 69 indexed citations
13.
Gundry, Rebekah L., Daniel R. Riordon, Yelena S. Tarasova, et al.. (2012). A Cell Surfaceome Map for Immunophenotyping and Sorting Pluripotent Stem Cells. Molecular & Cellular Proteomics. 11(8). 303–316. 52 indexed citations
14.
Zhan, Ming, Daniel R. Riordon, Bin Yan, et al.. (2012). The B-MYB Transcriptional Network Guides Cell Cycle Progression and Fate Decisions to Sustain Self-Renewal and the Identity of Pluripotent Stem Cells. PLoS ONE. 7(8). e42350–e42350. 32 indexed citations
15.
Ahmet, Ismayil, Hyun‐Jin Tae, Magdalena Juhaszova, et al.. (2010). A Small Nonerythropoietic Helix B Surface Peptide Based upon Erythropoietin Structure Is Cardioprotective against Ischemic Myocardial Damage. Molecular Medicine. 17(3-4). 194–200. 45 indexed citations
16.
Tarasov, Kirill V., Gianluca Testa, Yelena S. Tarasova, et al.. (2008). Linkage of Pluripotent Stem Cell- Associated Transcripts to Regulatory Gene Networks. Cells Tissues Organs. 188(1-2). 31–45. 9 indexed citations
17.
Tarasov, Kirill V., Yelena S. Tarasova, Wai Leong Tam, et al.. (2008). B-MYB Is Essential for Normal Cell Cycle Progression and Chromosomal Stability of Embryonic Stem Cells. PLoS ONE. 3(6). e2478–e2478. 82 indexed citations
18.
Anisimov, Sergey V., Kirill V. Tarasov, Daniel R. Riordon, Anna M. Wobus, & Kenneth R. Boheler. (2002). SAGE identification of differentiation responsive genes in P19 embryonic cells induced to form cardiomyocytes in vitro. Mechanisms of Development. 117(1-2). 25–74. 49 indexed citations
19.
Koban, M., et al.. (2001). A distant upstream region of the rat multipartite Na + –Ca 2+ exchanger NCX1 gene promoter is sufficient to confer cardiac-specific expression. Mechanisms of Development. 109(2). 267–279. 23 indexed citations
20.
Bushinsky, David A., Mohammad Bashir, Daniel R. Riordon, et al.. (1999). Increased dietary oxalate does not increase urinary calcium oxalate saturation in hypercalciuric rats. Kidney International. 55(2). 602–612. 33 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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