Keith Crosby

450 total citations
10 papers, 292 citations indexed

About

Keith Crosby is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Keith Crosby has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Keith Crosby's work include Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Virus-based gene therapy research (2 papers). Keith Crosby is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Virus-based gene therapy research (2 papers). Keith Crosby collaborates with scholars based in United States. Keith Crosby's co-authors include David Borchelt, Zoe Siemienski, Todd E. Golde, Pedro E. Cruz, Awilda M. Rosario, Paramita Chakrabarty, Yona Levites, Carolina Ceballos‐Diaz, Joanna L. Jankowsky and Karen Jansen and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Journal of Neurochemistry.

In The Last Decade

Keith Crosby

10 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Crosby United States 8 160 104 75 72 63 10 292
Zachary T. McEachin United States 10 210 1.3× 94 0.9× 58 0.8× 58 0.8× 62 1.0× 18 354
Hatice Karasoy Türkiye 10 147 0.9× 131 1.3× 88 1.2× 59 0.8× 41 0.7× 26 332
Jinzhi Zhang China 5 146 0.9× 146 1.4× 70 0.9× 33 0.5× 47 0.7× 5 373
Maximilian Naujock Germany 10 154 1.0× 120 1.2× 96 1.3× 27 0.4× 43 0.7× 14 290
Dunhui Li China 11 223 1.4× 170 1.6× 64 0.9× 48 0.7× 47 0.7× 25 441
Ian Coldicott United Kingdom 10 138 0.9× 124 1.2× 47 0.6× 44 0.6× 32 0.5× 13 268
Luigi Citrigno Italy 11 160 1.0× 101 1.0× 78 1.0× 50 0.7× 34 0.5× 31 356
Janel O. Johnson United States 10 153 1.0× 163 1.6× 94 1.3× 58 0.8× 34 0.5× 11 364
Mathilde Cohen-Tannoudji France 5 150 0.9× 88 0.8× 36 0.5× 84 1.2× 41 0.7× 6 256
Samantha L. Sison United States 9 272 1.7× 100 1.0× 109 1.5× 21 0.3× 40 0.6× 10 412

Countries citing papers authored by Keith Crosby

Since Specialization
Citations

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

Fields of papers citing papers by Keith Crosby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Crosby

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

All Works

10 of 10 papers shown
2.
Xu, Guilian, Susan Fromholt, John Howard, et al.. (2018). Changes in proteome solubility indicate widespread proteostatic disruption in mouse models of neurodegenerative disease. Acta Neuropathologica. 136(6). 919–938. 24 indexed citations
3.
4.
Rayaprolu, Sruti, Simon D’Alton, Keith Crosby, et al.. (2016). Heterogeneity of Matrin 3 in the developing and aging murine central nervous system. The Journal of Comparative Neurology. 524(14). 2740–2752. 12 indexed citations
5.
Ayers, Jacob I., Susan Fromholt, Zoe Siemienski, et al.. (2014). Widespread and Efficient Transduction of Spinal Cord and Brain Following Neonatal AAV Injection and Potential Disease Modifying Effect in ALS Mice. Molecular Therapy. 23(1). 53–62. 55 indexed citations
6.
Xu, Guilian, Susan Fromholt, Jacob I. Ayers, et al.. (2014). Substantially elevating the levels of αB‐crystallin in spinal motor neurons of mutant SOD1 mice does not significantly delay paralysis or attenuate mutant protein aggregation. Journal of Neurochemistry. 133(3). 452–464. 11 indexed citations
7.
Chakrabarty, Paramita, Awilda M. Rosario, Pedro E. Cruz, et al.. (2013). Capsid Serotype and Timing of Injection Determines AAV Transduction in the Neonatal Mice Brain. PLoS ONE. 8(6). e67680–e67680. 132 indexed citations
8.
Qualls, David, Keith Crosby, Hilda Brown, & David Borchelt. (2013). An Analysis of Interactions between Fluorescently-Tagged Mutant and Wild-Type SOD1 in Intracellular Inclusions. PLoS ONE. 8(12). e83981–e83981. 7 indexed citations
9.
Qualls, David, et al.. (2013). Features of wild-type human SOD1 limit interactions with misfolded aggregates of mouse G86R Sod1. Molecular Neurodegeneration. 8(1). 46–46. 13 indexed citations
10.
Tebbenkamp, Andrew T.N., Keith Crosby, Zoe Siemienski, et al.. (2012). Analysis of Proteolytic Processes and Enzymatic Activities in the Generation of Huntingtin N-Terminal Fragments in an HEK293 Cell Model. PLoS ONE. 7(12). e50750–e50750. 17 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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