Vanessa C. Wheeler

87 total papers · 5.9k total citations
54 papers, 3.6k citations indexed

About

Vanessa C. Wheeler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Vanessa C. Wheeler has authored 54 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 46 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Vanessa C. Wheeler's work include Genetic Neurodegenerative Diseases (46 papers), Mitochondrial Function and Pathology (36 papers) and Muscle Physiology and Disorders (11 papers). Vanessa C. Wheeler is often cited by papers focused on Genetic Neurodegenerative Diseases (46 papers), Mitochondrial Function and Pathology (36 papers) and Muscle Physiology and Disorders (11 papers). Vanessa C. Wheeler collaborates with scholars based in United States, United Kingdom and Germany. Vanessa C. Wheeler's co-authors include Marcy E. MacDonald, Tammy Gillis, James F. Gusella, Richard H. Myers, Audrey E. Hendricks, Jayalakshmi Srinidhi Mysore, Ella Dragileva, Edith Lopez, Jong‐Min Lee and Charles Coutelle and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Neuron.

In The Last Decade

Vanessa C. Wheeler

54 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Vanessa C. Wheeler 3.1k 2.7k 920 374 114 54 3.6k
J. Jang‐Ho 2.4k 0.8× 2.6k 1.0× 955 1.0× 243 0.6× 131 1.1× 29 3.6k
Lesley Jones 2.3k 0.8× 1.8k 0.7× 693 0.8× 288 0.8× 146 1.3× 78 3.2k
Amber L. Southwell 2.2k 0.7× 2.0k 0.7× 684 0.7× 200 0.5× 156 1.4× 47 3.2k
Seiji Hitoshi 2.0k 0.7× 1.0k 0.4× 528 0.6× 282 0.8× 178 1.6× 61 3.4k
James K. Kubilus 1.8k 0.6× 1.5k 0.6× 606 0.7× 279 0.7× 222 1.9× 18 2.4k
Abigail S. Hackam 3.1k 1.0× 2.3k 0.8× 629 0.7× 224 0.6× 313 2.7× 76 4.2k
Ben Woodman 2.4k 0.8× 2.0k 0.8× 644 0.7× 179 0.5× 361 3.2× 29 3.0k
Yu Zhao 1.6k 0.5× 861 0.3× 558 0.6× 316 0.8× 249 2.2× 65 3.3k
Ignacio Muñoz-Sanjuán 2.4k 0.8× 1.2k 0.4× 468 0.5× 275 0.7× 267 2.3× 81 3.3k
Andreas Weiss 2.7k 0.9× 2.1k 0.8× 884 1.0× 158 0.4× 364 3.2× 66 3.6k

Countries citing papers authored by Vanessa C. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa C. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa C. Wheeler. 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 Vanessa C. Wheeler. The network helps show where Vanessa C. Wheeler may publish in the future.

Co-authorship network of co-authors of Vanessa C. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa C. Wheeler. A scholar is included among the top collaborators of Vanessa C. Wheeler 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 Vanessa C. Wheeler. Vanessa C. Wheeler 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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