Daniel R. Riordon

1.1k citations
28 papers · 753 · h-index 16

Impact in

Papers in

    • Pluripotent Stem Cells Research 7
    • Ion channel regulation and function 6
    • Ubiquitin and proteasome pathways 3
    • CRISPR and Genetic Engineering 3
    • Cardiac electrophysiology and arrhythmias 7
    • Cardiac Fibrosis and Remodeling 3

Daniel R. Riordon

26 papers receiving 741 citations

Peers

Daniel R. Riordon
Comparison fields: 5 of 82
  • Aging 13
  • Cardiology and Cardiovascular Medicine 143
  • Molecular Biology 458
  • Nephrology 44
  • Cellular and Molecular Neuroscience 72
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200882
2 201176
3 201469
4 200559
5 201253
6 200249
7 201045
8 199744
9 199933
10 201232
11 201631
12 201631
13 201830
14 199730
15 200124
16 202220
17 202212
18 20089
19 20178
20 20216

About Daniel R. Riordon

Daniel R. Riordon is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 753 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Pluripotent Stem Cells Research (7 papers), Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (4 papers), 3D Printing in Biomedical Research (4 papers), Ubiquitin and proteasome pathways (3 papers), CRISPR and Genetic Engineering (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Aging (13 citations), Cardiology and Cardiovascular Medicine (143 citations), Molecular Biology (458 citations), Nephrology (44 citations) and Cellular and Molecular Neuroscience (72 citations). Daniel R. Riordon has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Kenneth R. Boheler, Kirill V. Tarasov, David A. Bushinsky, Yelena S. Tarasova, Edward G. Lakatta, Robert P. Wersto, Anna M. Wobus, Sergey V. Anisimov, Rebekah L. Gundry and David Tweedie. Their work appears in journals such as PLoS ONE, Mechanisms of Development, Biophysical Journal, Cells and eLife.

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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