Gertrud Strobl‐Wildemann

542 total citations
7 papers, 215 citations indexed

About

Gertrud Strobl‐Wildemann is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Gertrud Strobl‐Wildemann has authored 7 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Gertrud Strobl‐Wildemann's work include Genetics and Neurodevelopmental Disorders (2 papers), Cellular transport and secretion (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Gertrud Strobl‐Wildemann is often cited by papers focused on Genetics and Neurodevelopmental Disorders (2 papers), Cellular transport and secretion (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Gertrud Strobl‐Wildemann collaborates with scholars based in Germany, Poland and Austria. Gertrud Strobl‐Wildemann's co-authors include Hans‐Peter Hartung, Klaus Wagner, Beate Schlotter‐Weigel, Piet Auer‐Grumbach, Renate Fischer, Michaela Auer‐Grumbach, Ernst B. Zwick, H. Offenbacher, Hanns Lochmüller and Christian Windpassinger and has published in prestigious journals such as Annals of Neurology, Gene and BMJ Open.

In The Last Decade

Gertrud Strobl‐Wildemann

7 papers receiving 199 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gertrud Strobl‐Wildemann Germany 6 97 75 74 59 29 7 215
Amjad Khan Pakistan 12 170 1.8× 25 0.3× 124 1.7× 39 0.7× 15 0.5× 40 291
Ilse J. Anderson United States 7 164 1.7× 43 0.6× 165 2.2× 34 0.6× 52 1.8× 11 304
Emmanuelle Ranza Switzerland 12 137 1.4× 36 0.5× 103 1.4× 19 0.3× 20 0.7× 22 295
Gaurav V. Harlalka United Kingdom 10 184 1.9× 41 0.5× 95 1.3× 62 1.1× 19 0.7× 17 272
Emma Bedoukian United States 13 238 2.5× 29 0.4× 119 1.6× 30 0.5× 17 0.6× 31 375
Vincent Meyer France 5 110 1.1× 68 0.9× 105 1.4× 29 0.5× 8 0.3× 8 242
Eduardo Calpena Spain 11 153 1.6× 114 1.5× 42 0.6× 39 0.7× 5 0.2× 21 272
Charles Schwartz United States 6 185 1.9× 83 1.1× 150 2.0× 31 0.5× 30 1.0× 8 317
Rocío Sánchez-Alcudia Spain 14 339 3.5× 40 0.5× 72 1.0× 32 0.5× 21 0.7× 18 418
Chris Esapa United Kingdom 8 271 2.8× 48 0.6× 92 1.2× 57 1.0× 14 0.5× 9 320

Countries citing papers authored by Gertrud Strobl‐Wildemann

Since Specialization
Citations

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

Fields of papers citing papers by Gertrud Strobl‐Wildemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gertrud Strobl‐Wildemann. 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 Gertrud Strobl‐Wildemann. The network helps show where Gertrud Strobl‐Wildemann may publish in the future.

Co-authorship network of co-authors of Gertrud Strobl‐Wildemann

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

All Works

7 of 7 papers shown
1.
Faust, Ulrike, Gertrud Strobl‐Wildemann, Marc Sturm, et al.. (2023). Genome sequencing identifies complex structural MLH1 variant in unsolved Lynch syndrome. Molecular Genetics & Genomic Medicine. 11(6). e2151–e2151. 3 indexed citations
2.
Evers, Christina, Diana Mitter, Gertrud Strobl‐Wildemann, et al.. (2015). Duplication Xp11.22‐p14 in females: Does X‐inactivation help in assessing their significance?. American Journal of Medical Genetics Part A. 167(3). 553–562. 20 indexed citations
3.
Zirn, Birgit, Luitgard Graul‐Neumann, M. Suckfüll, et al.. (2013). Spectrum of novel mutations found in Waardenburg syndrome types 1 and 2: implications for molecular genetic diagnostics. BMJ Open. 3(3). e001917–e001917. 38 indexed citations
4.
Strobl‐Wildemann, Gertrud, Martin Alberer, Lutz T. Weber, et al.. (2013). Next generation sequencing as a useful tool in the diagnostics of mosaicism in Alport syndrome. Gene. 526(2). 474–477. 27 indexed citations
5.
Begemann, Matthias, et al.. (2012). Genome-wide paternal uniparental disomy mosaicism in a woman with Beckwith–Wiedemann syndrome and ovarian steroid cell tumour. European Journal of Human Genetics. 21(7). 788–791. 33 indexed citations
6.
Strobl‐Wildemann, Gertrud, Vera M. Kalscheuer, Hao Hu, et al.. (2011). Novel GDI1 mutation in a large family with nonsyndromic X‐linked intellectual disability. American Journal of Medical Genetics Part A. 155(12). 3067–3070. 11 indexed citations
7.
Auer‐Grumbach, Michaela, Beate Schlotter‐Weigel, Hanns Lochmüller, et al.. (2005). Phenotypes of the N88S Berardinelli–Seip congenital lipodystrophy 2 mutation. Annals of Neurology. 57(3). 415–424. 83 indexed citations

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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