Matthew E. Dickson

491 citations
8 papers · 372 · h-index 7

Impact in

Papers in

Matthew E. Dickson

8 papers receiving 366 citations

Peers

Matthew E. Dickson
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 139
  • Endocrinology, Diabetes and Metabolism 68
  • Molecular Biology 227
  • Surgery 95
  • Cellular and Molecular Neuroscience 35
Replace Phyllis Y. Reaves with:
Phyllis Y. Reaves United States
Sisi Huang China
Jianfeng Peng United States
Munetake Kanda Japan
Xin-zheng Lu China
Masahito Kajiya Japan
Wesley Won United States
Hidenori Nishida Japan
Sibylle Wenzel Germany
Kerstin Vikman Sweden
Matthew E. Dickson relative to Phyllis Y. Reaves United States Phyllis Y. Reaves's profile →
Citations per field
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Phyllis Y. Reaves · 1×
Citations per year

Countries citing papers authored by Matthew E. Dickson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Dickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Dickson. 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 Matthew E. Dickson. The network helps show where Matthew E. Dickson may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2015136
2 200689
3 201776
4 200728
5 201618
6 200817
7 20106
8 19912

About Matthew E. Dickson

Matthew E. Dickson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pharmacology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 372 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Apelin-related biomedical research (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Hemophilia Treatment and Research (1 paper), FOXO transcription factor regulation (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (139 citations), Endocrinology, Diabetes and Metabolism (68 citations), Molecular Biology (227 citations), Surgery (95 citations) and Cellular and Molecular Neuroscience (35 citations). Matthew E. Dickson has collaborated with scholars based in United States and Canada. Frequent co-authors include Curt D. Sigmund, Rhonda Bassel‐Duby, Huanyu Zhou, Eric N. Olson, Min Soo Kim, Kamal Rahmouni, M. Bridget Zimmerman, Kunhua Song, Hisayuki Hashimoto and Bruce A. Posner. Their work appears in journals such as Hypertension, Genes & Development, Nucleic Acids Research, International journal of cardiac imaging and Proceedings of the National Academy of Sciences.

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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