M.A. Sobotka-Plojhar

9 papers receiving 667 citations

Hit Papers

An X-linked mitochondrial disease affecting cardiac muscl...19832026199720111983100200300400500

Peers

M.A. Sobotka-Plojhar
Comparison fields: 5 of 64
  • Molecular Biology 481
  • Clinical Biochemistry 193
  • Cardiology and Cardiovascular Medicine 155
  • Epidemiology 84
  • Genetics 70
Replace Beverly Tsai‐Goodman with:
Beverly Tsai‐Goodman United Kingdom
Sunita Arya United States
Helen Mundy United Kingdom
T Momoi Japan
Go Tajima Japan
Raquel Dodelson de Kremer Argentina
John Fernandes Netherlands
François Labarthe France
U. van Haelst Netherlands
Sunita Bijarnia‐Mahay India
M.A. Sobotka-Plojhar relative to Beverly Tsai‐Goodman United Kingdom Beverly Tsai‐Goodman's profile →
Citations per field
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Beverly Tsai‐Goodman · 1×
Citations per year

Countries citing papers authored by M.A. Sobotka-Plojhar

Since Specialization
Citations

This map shows the geographic impact of M.A. Sobotka-Plojhar'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. Sobotka-Plojhar 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. Sobotka-Plojhar more than expected).

Fields of papers citing papers by M.A. Sobotka-Plojhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A. Sobotka-Plojhar

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 8
2 27
3 15
4 34
5 3
6 18
7
[2 newborn infants with severe arrhythmia caused by hyperkalemia].
1
8
An X-linked mitochondrial disease affecting cardiac muscle, skeletal muscle and neutrophil leucocytesbreakdown →
548
9 28

About M.A. Sobotka-Plojhar

M.A. Sobotka-Plojhar is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Epidemiology, having authored 9 papers that have together received 682 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (5 papers), Cardiovascular Effects of Exercise (2 papers) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Clinical Biochemistry (193 citations), Molecular Biology (481 citations) and Cardiology and Cardiovascular Medicine (155 citations). M.A. Sobotka-Plojhar has collaborated with scholars based in Netherlands. Frequent co-authors include J.J. van der Harten, I. E. M. Luyt‐Houwen, J.A. Berden, H.R. Scholte, J. M. van der Klei‐van Moorsel, P. G. Barth, Herman P. van Geijn, Judith A. Clements, N. Exalto and J Hruda. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of the Neurological Sciences and International Journal of Cardiology.

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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