S D Hauschka

18 total papers · 1.4k total citations
15 papers, 1.1k citations indexed

About

S D Hauschka is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, S D Hauschka has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in S D Hauschka's work include Muscle Physiology and Disorders (7 papers), Ion channel regulation and function (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). S D Hauschka is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Ion channel regulation and function (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). S D Hauschka collaborates with scholars based in United States, Canada and Australia. S D Hauschka's co-authors include Robert W. Wiseman, Stephen M. Schwartz, Charles E. Murry, Bradley B. Olwin, Jeffrey S. Chamberlain, Jean N. Buskin, James B. Jaynes, Robert W. Lim, Jane E. Johnson and Todd Scheuer and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

S D Hauschka

15 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
S D Hauschka 801 451 219 202 175 15 1.1k
Terry Partridge 965 1.2× 313 0.7× 305 1.4× 87 0.4× 82 0.5× 15 1.2k
Nikola Arsic 965 1.2× 359 0.8× 217 1.0× 98 0.5× 155 0.9× 21 1.5k
Patrick van Vliet 1.0k 1.3× 646 1.4× 218 1.0× 180 0.9× 240 1.4× 29 1.5k
Jody Martin 1.1k 1.4× 443 1.0× 68 0.3× 262 1.3× 122 0.7× 13 1.5k
Marietta Barro 894 1.1× 226 0.5× 248 1.1× 162 0.8× 66 0.4× 14 1.0k
Karen A. Lapidos 629 0.8× 254 0.6× 135 0.6× 196 1.0× 241 1.4× 14 1.1k
Ismo Vajanto 673 0.8× 341 0.8× 96 0.4× 123 0.6× 116 0.7× 13 1.0k
Paola Cattaneo 862 1.1× 261 0.6× 178 0.8× 306 1.5× 48 0.3× 17 1.3k
Eva Wärdell 709 0.9× 426 0.9× 306 1.4× 137 0.7× 311 1.8× 16 1.3k
Michael Maysky 910 1.1× 573 1.3× 134 0.6× 373 1.8× 189 1.1× 18 1.4k

Countries citing papers authored by S D Hauschka

Since Specialization
Citations

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

Fields of papers citing papers by S D Hauschka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S D Hauschka. 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 S D Hauschka. The network helps show where S D Hauschka may publish in the future.

Co-authorship network of co-authors of S D Hauschka

This figure shows the co-authorship network connecting the top 25 collaborators of S D Hauschka. A scholar is included among the top collaborators of S D Hauschka 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 S D Hauschka. S D Hauschka 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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