Craig Tork

11 total papers · 726 total citations
6 papers, 559 citations indexed

About

Craig Tork is a scholar working on Genetics, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Craig Tork has authored 6 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Craig Tork's work include Neurogenetic and Muscular Disorders Research (4 papers), Nerve injury and regeneration (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Craig Tork is often cited by papers focused on Neurogenetic and Muscular Disorders Research (4 papers), Nerve injury and regeneration (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Craig Tork collaborates with scholars based in United States, Switzerland and United Kingdom. Craig Tork's co-authors include Masatoshi Suzuki, Clive N. Svendsen, Jacalyn McHugh, Brandon Shelley, Patrick Aebischer, Sandra Klein, Ilaria Bellantuono, Kyle Wallace, Mary J. Lindstrom and Colin K. Franz and has published in prestigious journals such as PLoS ONE, Neurosurgery and Experimental Neurology.

In The Last Decade

Craig Tork

6 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Craig Tork	349	343	267	201	113	6	559
Nicola Nasuelli	441 1.3×	360 1.0×	253 0.9×	119 0.6×	103 0.9×	9	652
Artem Kaplan	234 0.7×	300 0.9×	282 1.1×	188 0.9×	57 0.5×	6	639
Howard M. Natter	218 0.6×	324 0.9×	143 0.5×	172 0.9×	47 0.4×	8	524
Marián Hruška-Plocháň	166 0.5×	213 0.6×	291 1.1×	163 0.8×	75 0.7×	18	560
Marianna Falcone	245 0.7×	112 0.3×	388 1.5×	134 0.7×	122 1.1×	9	535
In H. Park	260 0.7×	130 0.4×	349 1.3×	188 0.9×	275 2.4×	9	695
Susanne Nichterwitz	123 0.4×	125 0.4×	374 1.4×	242 1.2×	61 0.5×	10	687
Irina Shats	225 0.6×	118 0.3×	295 1.1×	191 1.0×	177 1.6×	8	697
Andrew Hope	156 0.4×	139 0.4×	300 1.1×	217 1.1×	185 1.6×	9	605
Cyndy D. Davis	374 1.1×	120 0.3×	218 0.8×	196 1.0×	223 2.0×	8	640

Countries citing papers authored by Craig Tork

Since Specialization

Citations

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

Fields of papers citing papers by Craig Tork

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Tork

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Tork. A scholar is included among the top collaborators of Craig Tork 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 Craig Tork. Craig Tork 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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