Kobi Wasner

858 total citations
9 papers, 374 citations indexed

About

Kobi Wasner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kobi Wasner has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Kobi Wasner's work include Autophagy in Disease and Therapy (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Marine animal studies overview (2 papers). Kobi Wasner is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Marine animal studies overview (2 papers). Kobi Wasner collaborates with scholars based in Germany, Luxembourg and United States. Kobi Wasner's co-authors include H Haug, Anne Grünewald, Christine Klein, Jens C. Schwamborn, Jonas Walter, Paul Antony, Javier Jarazo, Xiaobing Qing, Ronan M. T. Fleming and Enrico Glaab and has published in prestigious journals such as PLoS ONE, Human Molecular Genetics and Advanced Science.

In The Last Decade

Kobi Wasner

9 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kobi Wasner Germany 8 146 114 85 70 53 9 374
Jin‐Young Koh United States 12 233 1.6× 187 1.6× 131 1.5× 59 0.8× 19 0.4× 24 543
K.C. Biju United States 15 129 0.9× 230 2.0× 54 0.6× 33 0.5× 33 0.6× 23 514
Kyle W. Gheres United States 11 103 0.7× 211 1.9× 52 0.6× 131 1.9× 25 0.5× 13 431
Tiffany Baumann United States 8 281 1.9× 307 2.7× 154 1.8× 83 1.2× 29 0.5× 9 580
Melissa F. Davis United States 8 63 0.4× 178 1.6× 27 0.3× 104 1.5× 31 0.6× 8 314
Corey Flynn Canada 10 128 0.9× 242 2.1× 54 0.6× 135 1.9× 39 0.7× 11 480
Carola I. Radulescu United Kingdom 11 311 2.1× 218 1.9× 56 0.7× 69 1.0× 21 0.4× 17 495
Samuel S. Pappas United States 15 128 0.9× 304 2.7× 267 3.1× 36 0.5× 26 0.5× 22 507
Amit K. Chouhan United States 9 188 1.3× 236 2.1× 87 1.0× 27 0.4× 22 0.4× 10 403
Veronica J. Garcia United States 8 170 1.2× 132 1.2× 66 0.8× 25 0.4× 48 0.9× 8 407

Countries citing papers authored by Kobi Wasner

Since Specialization
Citations

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

Fields of papers citing papers by Kobi Wasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobi Wasner

This figure shows the co-authorship network connecting the top 25 collaborators of Kobi Wasner. A scholar is included among the top collaborators of Kobi Wasner 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 Kobi Wasner. Kobi Wasner 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
1.
Tiane, Assia, Melissa Schepers, Ben Rombaut, et al.. (2023). From methylation to myelination: epigenomic and transcriptomic profiling of chronic inactive demyelinated multiple sclerosis lesions. Acta Neuropathologica. 146(2). 283–299. 10 indexed citations
2.
OʼBrien, Christopher, et al.. (2021). Unilateral vocal nerve resection alters neurogenesis in the avian song system in a region-specific manner. PLoS ONE. 16(8). e0256709–e0256709. 3 indexed citations
3.
Wasner, Kobi, Christine Klein, Susen Schaake, et al.. (2021). Nanopore Single-Molecule Sequencing for Mitochondrial DNA Methylation Analysis: Investigating Parkin-Associated Parkinsonism as a Proof of Concept. Frontiers in Aging Neuroscience. 13. 713084–713084. 18 indexed citations
4.
Delcambre, Sylvie, Jenny Ghelfi, Léa Grandmougin, et al.. (2020). Mitochondrial Mechanisms of LRRK2 G2019S Penetrance. Frontiers in Neurology. 11. 881–881. 22 indexed citations
5.
Wasner, Kobi, Anne Grünewald, & Christine Klein. (2020). Parkin-linked Parkinson’s disease: From clinical insights to pathogenic mechanisms and novel therapeutic approaches. Neuroscience Research. 159. 34–39. 25 indexed citations
6.
Großmann, Dajana, Paul Antony, Giuseppe Arena, et al.. (2020). Impaired mitochondrial–endoplasmic reticulum interaction and mitophagy in Miro1-mutant neurons in Parkinson’s disease. Human Molecular Genetics. 29(8). 1353–1364. 44 indexed citations
7.
Bolognin, Silvia, Xiaobing Qing, Javier Jarazo, et al.. (2018). 3D Cultures of Parkinson's Disease‐Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing. Advanced Science. 6(1). 1800927–1800927. 106 indexed citations
8.
Wasner, Kobi, et al.. (2014). Hemispheric Asymmetry in New Neurons in Adulthood Is Associated with Vocal Learning and Auditory Memory. PLoS ONE. 9(9). e108929–e108929. 19 indexed citations
9.
Haug, H, et al.. (1984). The significance of morphometric procedures in the investigation of age changes in cytoarchitectonic structures of human brain.. PubMed. 25(4). 353–74. 127 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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