Wanda Krassowska

4.0k total citations
65 papers, 3.1k citations indexed

About

Wanda Krassowska is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Wanda Krassowska has authored 65 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 21 papers in Cellular and Molecular Neuroscience and 19 papers in Biomedical Engineering. Recurrent topics in Wanda Krassowska's work include Cardiac electrophysiology and arrhythmias (39 papers), Neuroscience and Neural Engineering (19 papers) and Microbial Inactivation Methods (18 papers). Wanda Krassowska is often cited by papers focused on Cardiac electrophysiology and arrhythmias (39 papers), Neuroscience and Neural Engineering (19 papers) and Microbial Inactivation Methods (18 papers). Wanda Krassowska collaborates with scholars based in United States, India and Ireland. Wanda Krassowska's co-authors include John C. Neu, T.C. Pilkington, R.E. Ideker, Kyle C. Smith, Raymond E. Ideker, Daniel J. Gauthier, Patrick D. Wolf, Elena G. Tolkacheva, David W. Frazier and David G. Schaeffer and has published in prestigious journals such as Physical Review Letters, Circulation Research and Biophysical Journal.

In The Last Decade

Wanda Krassowska

59 papers receiving 3.0k citations

Peers

Wanda Krassowska
Comparison fields: 5 of 93
  • Biomedical Engineering 1.3k
  • Biotechnology 1.3k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Molecular Biology 743
  • Cellular and Molecular Neuroscience 675
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Long Hsu Taiwan
Zhengyu Peng United States
Steven J. Evans United States
Wolfgang Eberle Belgium
T. V. Yakovleva Russia
Jan Vrba Czechia
Zeyang Li China
Yang Wu China
Andrew J. Rader United States
Martin L. Buist Singapore
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Citations per field, relative to Wanda Krassowska
Wanda Krassowska · 1×
Citations per year, relative to Wanda Krassowska
Wanda Krassowska · 1×

Countries citing papers authored by Wanda Krassowska

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Krassowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanda Krassowska

This figure shows the co-authorship network connecting the top 25 collaborators of Wanda Krassowska. A scholar is included among the top collaborators of Wanda Krassowska 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 Wanda Krassowska. Wanda Krassowska 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
# Work Indexed citations
1 26
2 18
3 23
4 11
5
Evidence for a Border-Collision Bifurcation in Paced Cardiac Tissue
2
6 2
7 9
8 62
9 97
10 12
11 3
12 96
13 115
14 85
15 10
16 11
17 110
18 3
19 4
20 3

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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