Stephen K. Klasko

67 total papers · 745 total citations
32 papers, 554 citations indexed

About

Stephen K. Klasko is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and General Health Professions. According to data from OpenAlex, Stephen K. Klasko has authored 32 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in General Health Professions. Recurrent topics in Stephen K. Klasko's work include Mesenchymal stem cell research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neonatal Respiratory Health Research (5 papers). Stephen K. Klasko is often cited by papers focused on Mesenchymal stem cell research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neonatal Respiratory Health Research (5 papers). Stephen K. Klasko collaborates with scholars based in United States and South Korea. Stephen K. Klasko's co-authors include Paul R. Sanberg, Alison E. Willing, Cesar V. Borlongan, Cyndy D. Sanberg, Svitlana Garbuzova‐Davis, Samuel Saporta, Paula C. Bickford, David J. Eve, Jennifer D. Newcomb and Dong‐Hyuk Park and has published in prestigious journals such as The Journal of Comparative Neurology, The FASEB Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Stephen K. Klasko

29 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen K. Klasko 229 150 126 124 121 32 554
Zuo Luan 161 0.7× 103 0.7× 136 1.1× 56 0.5× 188 1.6× 54 590
France W. Fung 218 1.0× 168 1.1× 46 0.4× 85 0.7× 155 1.3× 32 698
P. Sostak 141 0.6× 60 0.4× 36 0.3× 84 0.7× 100 0.8× 24 655
Shelly Wang 134 0.6× 137 0.9× 104 0.8× 43 0.3× 56 0.5× 43 630
Nishanthan Rajakumaraswamy 73 0.3× 77 0.5× 253 2.0× 43 0.3× 83 0.7× 27 568
D. Fisher 75 0.3× 77 0.5× 20 0.2× 136 1.1× 163 1.3× 25 682
Mohamed El‐Beltagy 189 0.8× 84 0.6× 23 0.2× 133 1.1× 64 0.5× 35 534
Julian Spears 80 0.3× 52 0.3× 32 0.3× 181 1.5× 68 0.6× 30 682
J.M. Butler 137 0.6× 56 0.4× 42 0.3× 289 2.3× 49 0.4× 15 518
Jacob Katz 62 0.3× 48 0.3× 77 0.6× 54 0.4× 106 0.9× 30 627

Countries citing papers authored by Stephen K. Klasko

Since Specialization
Citations

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

Fields of papers citing papers by Stephen K. Klasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen K. Klasko. 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 Stephen K. Klasko. The network helps show where Stephen K. Klasko may publish in the future.

Co-authorship network of co-authors of Stephen K. Klasko

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen K. Klasko. A scholar is included among the top collaborators of Stephen K. Klasko 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 Stephen K. Klasko. Stephen K. Klasko 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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