Margit Jehna

44 total papers · 1.3k total citations
29 papers, 1.1k citations indexed

About

Margit Jehna is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Margit Jehna has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Cognitive Neuroscience. Recurrent topics in Margit Jehna's work include Multiple Sclerosis Research Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (6 papers). Margit Jehna is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (6 papers). Margit Jehna collaborates with scholars based in Austria, Germany and United States. Margit Jehna's co-authors include Christian Enzinger, Franz Fazekas, Siegrid Fuchs, Stefan Ropele, Christian Langkammer, Michael Khalil, M Wallner-Blazek, Marisa Loitfelder, Reinhold Schmidt and Christa Neuper and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Neurology.

In The Last Decade

Margit Jehna

29 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margit Jehna 580 379 232 215 144 29 1.1k
Wafaa Zaaraoui 665 1.1× 500 1.3× 170 0.7× 247 1.1× 141 1.0× 44 1.2k
Françoise Reuter 935 1.6× 275 0.7× 197 0.8× 309 1.4× 103 0.7× 33 1.2k
Marisa Loitfelder 363 0.6× 310 0.8× 296 1.3× 295 1.4× 114 0.8× 18 1.2k
A. J. C. Eijlers 656 1.1× 220 0.6× 253 1.1× 160 0.7× 82 0.6× 27 839
Alessandro d’Ambrosio 668 1.2× 175 0.5× 227 1.0× 296 1.4× 136 0.9× 48 1.2k
M Wallner-Blazek 595 1.0× 231 0.6× 91 0.4× 186 0.9× 164 1.1× 20 967
Vinzenz Fleischer 614 1.1× 363 1.0× 257 1.1× 192 0.9× 113 0.8× 52 1.0k
Alberto Cifelli 966 1.7× 326 0.9× 108 0.5× 338 1.6× 167 1.2× 14 1.2k
Audrey Rico 821 1.4× 279 0.7× 83 0.4× 420 2.0× 116 0.8× 49 1.2k
Elisabeth Solana 249 0.4× 205 0.5× 140 0.6× 231 1.1× 75 0.5× 44 861

Countries citing papers authored by Margit Jehna

Since Specialization
Citations

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

Fields of papers citing papers by Margit Jehna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Jehna

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

All Works

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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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