M. A. Esrick

16 papers receiving 519 citations

Peers

M. A. Esrick
Comparison fields: 5 of 95
  • Developmental Neuroscience 61
  • Cellular and Molecular Neuroscience 158
  • Biomedical Engineering 266
  • Cell Biology 93
  • Structural Biology 5
Replace Yasuhisa Fujii with:
Yasuhisa Fujii Japan
Tadao Sugiura Japan
Yuzo Takayama Japan
Shih-Hui Chao United States
Neil P. Galletly United Kingdom
Sándor Valkai Hungary
Kaustubh R. Rau United States
Ryo Yamaguchi Japan
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M. A. Esrick relative to Yasuhisa Fujii Japan Yasuhisa Fujii's profile →
Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by M. A. Esrick

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Esrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Esrick. 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 M. A. Esrick. The network helps show where M. A. Esrick may publish in the future.

Co-authors

The 17 scholars most cited alongside M. A. Esrick, 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 M. A. Esrick Line = papers co-authored together M. A. Esrick links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004198
2 200544
3 199237
4 199431
5 199330
6 199626
7 199723
8 199923
9 198523
10 198723
11 199521
12 202116
13 198516
14 198513
15 19874
16 19991
17 20020

About M. A. Esrick

M. A. Esrick is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 17 papers that have together received 529 indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (9 papers), Microfluidic and Bio-sensing Technologies (8 papers), Electrostatics and Colloid Interactions (2 papers), Neuroscience and Neural Engineering (2 papers), Ion-surface interactions and analysis (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Surface and Thin Film Phenomena (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Cellular and Molecular Neuroscience (158 citations), Biomedical Engineering (266 citations), Cell Biology (93 citations) and Structural Biology (5 citations). M. A. Esrick has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include D. McRae, William J. Rosoff, Ryan McAllister, Jeffrey S. Urbach, Geoffrey J. Goodhill, Linda J. Richards, W. Sacks, William L. Clinton, Susette C. Mueller and Donald McRae. Their work appears in journals such as Physical review. B, Condensed matter, Physics in Medicine and Biology, International Journal of Hyperthermia, Biotechnology and Bioengineering and International Journal of Radiation Oncology*Biology*Physics.

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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