Bryan Koci

477 citations
7 papers · 317 · h-index 5

Impact in

Papers in

Bryan Koci

7 papers receiving 307 citations

Peers

Bryan Koci
Comparison fields: 5 of 61
  • Cardiology and Cardiovascular Medicine 207
  • Molecular Biology 195
  • Cellular and Molecular Neuroscience 46
  • Infectious Diseases 19
  • Pharmacology 17
Replace Jean‐Michel Guillon with:
Jean‐Michel Guillon France
Ian Sabir United Kingdom
Emanuele Micaglio Italy
John K. Finkle United States
Wenqian Chen China
William Reynolds United States
Ivan A. Katrukha Russia
Barbara M Parker United States
Yayoi Tsuneoka Japan
Yutaka Kono Japan
Bryan Koci relative to Jean‐Michel Guillon France Jean‐Michel Guillon's profile →
Citations per field
00.5×1.5×2.4×
Jean‐Michel Guillon · 1×
Citations per year

Countries citing papers authored by Bryan Koci

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Koci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2002132
2 2005116
3 201731
4 200228
5 20208
6 20191
7 20191

About Bryan Koci

Bryan Koci is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 7 papers that have together received 317 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Advanced MRI Techniques and Applications (2 papers), Neuroscience and Neural Engineering (2 papers), Ion channel regulation and function (2 papers), Cardiac pacing and defibrillation studies (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Fuel Cells and Related Materials (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (207 citations), Molecular Biology (195 citations), Cellular and Molecular Neuroscience (46 citations), Infectious Diseases (19 citations) and Pharmacology (17 citations). Bryan Koci has collaborated with scholars based in United States. Frequent co-authors include Walter A. Volberg, Jun Zhou, Wei-guo Su, Corinne E. Augelli‐Szafran, Jun Zhou, Jenifer A. Bradley, Zhuoqian Sun, Xian Chen, Jason Cordes and Judith A. Abraham. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Circulation, European Journal of Medicinal Chemistry, Toxicology and Applied Pharmacology and Molecular Pharmacology.

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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