Darrin Dutcher

1.3k total citations
9 papers, 861 citations indexed

About

Darrin Dutcher is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Darrin Dutcher has authored 9 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pharmacology. Recurrent topics in Darrin Dutcher's work include Receptor Mechanisms and Signaling (3 papers), Viral Infections and Immunology Research (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Darrin Dutcher is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Viral Infections and Immunology Research (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Darrin Dutcher collaborates with scholars based in United States, Austria and Germany. Darrin Dutcher's co-authors include Michael R. Bristow, Wayne Minobe, Robert L. Roden, Teresa Bohlmeyer, William T. Abraham, A. Robertson, Brian D. Lowes, Robert A. Quaife, Edward M. Gilbert and Koji Asano and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of the American College of Cardiology.

In The Last Decade

Darrin Dutcher

9 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darrin Dutcher United States 7 610 379 123 101 83 9 861
Tatsuro Kitahara Japan 19 451 0.7× 311 0.8× 55 0.4× 62 0.6× 86 1.0× 27 967
Élise Roussel Canada 17 487 0.8× 246 0.6× 126 1.0× 45 0.4× 96 1.2× 32 841
Rangarajan D. Nadadur United States 14 347 0.6× 317 0.8× 191 1.6× 56 0.6× 81 1.0× 19 773
Atai Watanabe Japan 15 307 0.5× 381 1.0× 63 0.5× 33 0.3× 69 0.8× 24 690
Noeleen De Angelis Italy 10 285 0.5× 216 0.6× 44 0.4× 165 1.6× 149 1.8× 14 822
Mitsunori Ishino Japan 16 356 0.6× 205 0.5× 78 0.6× 34 0.3× 95 1.1× 26 664
Hitoshi Tachikawa Japan 16 283 0.5× 166 0.4× 60 0.5× 35 0.3× 77 0.9× 30 573
Ikuo Segawa Japan 13 445 0.7× 259 0.7× 50 0.4× 23 0.2× 101 1.2× 26 738
Eduardo Balcells United States 10 441 0.7× 153 0.4× 40 0.3× 79 0.8× 84 1.0× 11 633
Arash Yavari United Kingdom 13 334 0.5× 252 0.7× 36 0.3× 50 0.5× 151 1.8× 30 655

Countries citing papers authored by Darrin Dutcher

Since Specialization
Citations

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

Fields of papers citing papers by Darrin Dutcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darrin Dutcher

This figure shows the co-authorship network connecting the top 25 collaborators of Darrin Dutcher. A scholar is included among the top collaborators of Darrin Dutcher 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 Darrin Dutcher. Darrin Dutcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
García‐Martínez, Juan Manuel, Shirley Wang, Andreas Wernitznig, et al.. (2020). Selective Tumor Cell Apoptosis and Tumor Regression in CDH17-Positive Colorectal Cancer Models using BI 905711, a Novel Liver-Sparing TRAILR2 Agonist. Molecular Cancer Therapeutics. 20(1). 96–108. 23 indexed citations
2.
Löw, Sarah, Bernd Weigle, Darrin Dutcher, et al.. (2018). Design and characterization of Zweimab and Doppelmab, high affinity dual antagonistic anti-TSLP/IL13 bispecific antibodies. Biochemical and Biophysical Research Communications. 504(1). 19–24. 40 indexed citations
4.
Abraham, William T., Edward M. Gilbert, Brian D. Lowes, et al.. (2002). Coordinate Changes in Myosin Heavy Chain Isoform Gene Expression Are Selectively Associated With Alterations in Dilated Cardiomyopathy Phenotype. Molecular Medicine. 8(11). 750–760. 79 indexed citations
5.
Zisman, Lawrence S., Koji Asano, Darrin Dutcher, et al.. (1998). Differential Regulation of Cardiac Angiotensin Converting Enzyme Binding Sites and AT1Receptor Density in the Failing Human Heart. Circulation. 98(17). 1735–1741. 45 indexed citations
6.
Lowes, Brian D., Wayne Minobe, William T. Abraham, et al.. (1997). Changes in gene expression in the intact human heart. Downregulation of alpha-myosin heavy chain in hypertrophied, failing ventricular myocardium.. Journal of Clinical Investigation. 100(9). 2315–2324. 382 indexed citations
7.
Asano, Koji, Darrin Dutcher, J. David Port, et al.. (1997). Selective Downregulation of the Angiotensin II AT1-Receptor Subtype in Failing Human Ventricular Myocardium. Circulation. 95(5). 1193–1200. 139 indexed citations
8.
Yoshikawa, Tsutomu, J. David Port, Koji Asano, et al.. (1996). Cardiac adrenergic receptor effects of carvedilol. European Heart Journal. 17(suppl B). 8–16. 146 indexed citations
9.
Asano, Koji, Wayne Minobe, Darrin Dutcher, et al.. (1995). 776-1 Selective Down-regulation of Angiotensin II AT 1 Receptors in Failing Human Heart: Relationship to β 1 -Receptor Down-regulation. Journal of the American College of Cardiology. 25(2). 291A–292A. 4 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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