Victoria Kehm

4.2k total citations · 2 hit papers
7 papers, 3.0k citations indexed

About

Victoria Kehm is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Victoria Kehm has authored 7 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Victoria Kehm's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (4 papers) and Neurological disorders and treatments (2 papers). Victoria Kehm is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (4 papers) and Neurological disorders and treatments (2 papers). Victoria Kehm collaborates with scholars based in United States, South Korea and Canada. Victoria Kehm's co-authors include Virginia M.‐Y. Lee, Bin Zhang, Kelvin C. Luk, John Q. Trojanowski, Patrick O’Brien, Jenna C. Carroll, James H. Soper, Dustin J. Covell, Matthew Byrne and E. B. Lee and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Victoria Kehm

7 papers receiving 3.0k citations

Hit Papers

Pathological α-Synuclein Transmission Initiates Parkinson... 2012 2026 2016 2021 2012 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Kehm United States 7 2.4k 1.2k 1.0k 823 735 7 3.0k
Dawn M. Riddle United States 18 1.9k 0.8× 1.4k 1.2× 820 0.8× 716 0.9× 661 0.9× 18 2.7k
Jennifer A. Steiner United States 21 2.0k 0.8× 895 0.8× 1.1k 1.0× 881 1.1× 746 1.0× 34 3.0k
Masami Masuda‐Suzukake Japan 26 2.1k 0.9× 1.3k 1.2× 752 0.7× 1.1k 1.4× 755 1.0× 39 3.1k
Patrick O’Brien United States 5 2.7k 1.1× 1.4k 1.2× 1.1k 1.1× 964 1.2× 853 1.2× 6 3.5k
Begoña Atarés Spain 10 2.0k 0.8× 832 0.7× 1.0k 1.0× 535 0.7× 500 0.7× 12 2.4k
Mario Ezquerra Spain 28 1.7k 0.7× 1.1k 0.9× 782 0.7× 1.3k 1.6× 542 0.7× 85 3.0k
Ayako Takeda Japan 11 2.3k 1.0× 1.0k 0.9× 1.4k 1.3× 581 0.7× 591 0.8× 14 2.8k
Ebba Lohmann Türkiye 26 2.1k 0.9× 801 0.7× 1.2k 1.2× 826 1.0× 1.0k 1.4× 73 3.3k
Hiroyo Yoshino Japan 26 1.7k 0.7× 478 0.4× 985 0.9× 741 0.9× 706 1.0× 62 2.3k
Alessio Di Fonzo Italy 29 1.9k 0.8× 753 0.6× 814 0.8× 1.3k 1.5× 871 1.2× 116 3.3k

Countries citing papers authored by Victoria Kehm

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Kehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Kehm

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Kehm. A scholar is included among the top collaborators of Victoria Kehm 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 Victoria Kehm. Victoria Kehm 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.
Rahayel, Shady, Bratislav Mišić, Zhen-Qi Liu, et al.. (2021). Differentially targeted seeding reveals unique pathological alpha-synuclein propagation patterns. Brain. 145(5). 1743–1756. 35 indexed citations
2.
Zhang, Bin, et al.. (2019). Stereotaxic Targeting of Alpha-Synuclein Pathology in Mouse Brain Using Preformed Fibrils. Methods in molecular biology. 1948. 45–57. 20 indexed citations
3.
Luk, Kelvin C., Dustin J. Covell, Victoria Kehm, et al.. (2016). Molecular and Biological Compatibility with Host Alpha-Synuclein Influences Fibril Pathogenicity. Cell Reports. 16(12). 3373–3387. 137 indexed citations
4.
Luk, Kelvin C., Victoria Kehm, Jenna C. Carroll, et al.. (2012). Pathological α-Synuclein Transmission Initiates Parkinson-like Neurodegeneration in Nontransgenic Mice. Science. 338(6109). 949–953. 1855 indexed citations breakdown →
5.
Luk, Kelvin C., Victoria Kehm, Bin Zhang, et al.. (2012). Intracerebral inoculation of pathological α-synuclein initiates a rapidly progressive neurodegenerative α-synucleinopathy in mice. The Journal of Experimental Medicine. 209(5). 975–986. 819 indexed citations breakdown →
6.
Lim, Youngshin, et al.. (2011).  -Syn Suppression Reverses Synaptic and Memory Defects in a Mouse Model of Dementia with Lewy Bodies. Journal of Neuroscience. 31(27). 10076–10087. 89 indexed citations
7.
Soper, James H., Victoria Kehm, Christopher G. Burd, Vytas A. Bankaitis, & Virginia M.‐Y. Lee. (2010). Aggregation of α-Synuclein in S. cerevisiae is Associated with Defects in Endosomal Trafficking and Phospholipid Biosynthesis. Journal of Molecular Neuroscience. 43(3). 391–405. 60 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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