John T. Sladky

76 total papers · 4.4k total citations
59 papers, 3.0k citations indexed

About

John T. Sladky is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, John T. Sladky has authored 59 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 22 papers in Cellular and Molecular Neuroscience and 17 papers in Molecular Biology. Recurrent topics in John T. Sladky's work include Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (12 papers) and Mitochondrial Function and Pathology (7 papers). John T. Sladky is often cited by papers focused on Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (12 papers) and Mitochondrial Function and Pathology (7 papers). John T. Sladky collaborates with scholars based in United States, Canada and Honduras. John T. Sladky's co-authors include A. M. Kelly, Mitsuo Narusawa, H. Lee Sweeney, RA Panettieri, Hansell H. Stedman, BJ Petrof, Joseph B. Shrager, Mark J. Brown, Joel Greenberg and Richard I. Kelley and has published in prestigious journals such as Nature, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

John T. Sladky

58 papers receiving 2.9k citations

Hit Papers

The mdx mouse diaphragm r... 1991 2026 2002 2014 1991 250 500 750

Author Peers

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

Author Last Decade Papers Cites
John T. Sladky 1.5k 906 855 416 333 59 3.0k
J. T. Kissel 1.1k 0.7× 1.1k 1.2× 817 1.0× 523 1.3× 352 1.1× 50 2.8k
Guillaume Bassez 2.5k 1.7× 674 0.7× 1.4k 1.6× 374 0.9× 472 1.4× 92 3.5k
Pia Bernasconi 1.7k 1.1× 1.5k 1.6× 525 0.6× 243 0.6× 457 1.4× 111 3.9k
Martin K. Childers 1.3k 0.9× 794 0.9× 364 0.4× 389 0.9× 275 0.8× 97 2.9k
Khema R. Sharma 803 0.5× 1.1k 1.2× 567 0.7× 322 0.8× 484 1.5× 51 2.6k
P. Hudgson 1.0k 0.7× 545 0.6× 460 0.5× 392 0.9× 393 1.2× 84 2.6k
F. Cornelio 2.0k 1.4× 1.4k 1.5× 357 0.4× 469 1.1× 412 1.2× 134 4.3k
Francesca Andreetta 1.5k 1.0× 873 1.0× 273 0.3× 210 0.5× 223 0.7× 78 2.7k
Simon A. Koblar 1.5k 1.0× 453 0.5× 1.2k 1.4× 327 0.8× 908 2.7× 126 4.1k
Clemens Sommer 1.2k 0.8× 619 0.7× 636 0.7× 355 0.9× 509 1.5× 97 4.5k

Countries citing papers authored by John T. Sladky

Since Specialization
Citations

This map shows the geographic impact of John T. Sladky'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 John T. Sladky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Sladky more than expected).

Fields of papers citing papers by John T. Sladky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Sladky. 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 John T. Sladky. The network helps show where John T. Sladky may publish in the future.

Co-authorship network of co-authors of John T. Sladky

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Sladky. A scholar is included among the top collaborators of John T. Sladky 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 John T. Sladky. John T. Sladky 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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