John P. Wikswo

289 papers receiving 9.3k citations

Hit Papers

Using a magnetometer to image a two-dimensional current d...19892026200120131989100200300

Peers

John P. Wikswo
Comparison fields: 5 of 180
  • Biomedical Engineering 3.2k
  • Molecular Biology 2.1k
  • Cardiology and Cardiovascular Medicine 1.7k
  • Cellular and Molecular Neuroscience 1.7k
  • Atomic and Molecular Physics, and Optics 1.1k
Replace Michael G. Rosenblum with:
Michael G. Rosenblum United States
G. Allan Johnson United States
Toshio Yanagida Japan
Aleksander S. Popel United States
Francesco S. Pavone Italy
Frédéric Lesage Canada
Tsutomu Araki Japan
Frederick Sachs United States
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Hairong Zheng China
John P. Wikswo relative to Michael G. Rosenblum United States Michael G. Rosenblum's profile →
Citations per field
00.5×1.6×
Michael G. Rosenblum · 1×
Citations per year

Countries citing papers authored by John P. Wikswo

Since Specialization
Citations

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

Fields of papers citing papers by John P. Wikswo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Wikswo. 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 John P. Wikswo. The network helps show where John P. Wikswo may publish in the future.

Co-authorship network of co-authors of John P. Wikswo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 23
4 322
5 29
6
High-power current source with real-time arbitrary waveforms for in vivo and in vitro studies of defibrillation
1
7 240
8 18
9 14
10 10
11 10
12 9
13 39
14 25
15 76
16 23
17
Diastolic Activation Dynamics in the Phase Plane
1
18
Cardiac Phase Plane Dynamics During Stimulation and Reentry
1
19
High Resolution LTS-SQUID Magnetometer
1
20 27

About John P. Wikswo

John P. Wikswo is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cardiology and Cardiovascular Medicine, having authored 297 papers that have together received 9.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (60 papers), Cardiac electrophysiology and arrhythmias (50 papers) and 3D Printing in Biomedical Research (34 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Cardiology and Cardiovascular Medicine (1.7k citations) and Biomedical Engineering (3.2k citations). John P. Wikswo has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Bradley J. Roth, Néstor Sepúlveda, Franz Baudenbacher, John Paul Barach, Philip C. Samson, Leonard A. Bradshaw, Shanshan Lin, Veniamin Y. Sidorov, Shannon L. Faley and Ann Richmond. Their work appears in journals such as Science, Physical Review Letters and Journal of Biological Chemistry.

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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