Jeffrey K. Teraoka

15 total papers · 789 total citations
7 papers, 581 citations indexed

About

Jeffrey K. Teraoka is a scholar working on Pathology and Forensic Medicine, Rehabilitation and Epidemiology. According to data from OpenAlex, Jeffrey K. Teraoka has authored 7 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Rehabilitation and 2 papers in Epidemiology. Recurrent topics in Jeffrey K. Teraoka's work include Stroke Rehabilitation and Recovery (3 papers), Spinal Cord Injury Research (2 papers) and Delphi Technique in Research (1 paper). Jeffrey K. Teraoka is often cited by papers focused on Stroke Rehabilitation and Recovery (3 papers), Spinal Cord Injury Research (2 papers) and Delphi Technique in Research (1 paper). Jeffrey K. Teraoka collaborates with scholars based in United States and Brazil. Jeffrey K. Teraoka's co-authors include Peter J. Veazie, David K. Ryser, Gerben DeJong, Susan D. Horn, Gary K. Steinberg, Lawrence R. Wechsler, James Gebel, David Tong, Elaine M. Elder and Michael P. Marks and has published in prestigious journals such as Journal of neurosurgery, Archives of Physical Medicine and Rehabilitation and Muscle & Nerve.

In The Last Decade

Jeffrey K. Teraoka

7 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey K. Teraoka 182 155 144 133 91 7 581
Krystal Schaar 124 0.7× 103 0.7× 156 1.1× 118 0.9× 49 0.5× 7 586
Casey Case 342 1.9× 188 1.2× 229 1.6× 148 1.1× 77 0.8× 8 679
Jason A. Hamilton 220 1.2× 152 1.0× 126 0.9× 128 1.0× 26 0.3× 12 552
Christine L. Keogh 176 1.0× 131 0.8× 196 1.4× 70 0.5× 14 0.2× 7 557
Meaghan Staples 263 1.4× 73 0.5× 187 1.3× 73 0.5× 22 0.2× 11 583
Hadar Keren‐Gill 184 1.0× 259 1.7× 204 1.4× 179 1.3× 35 0.4× 4 565
Jennifer D. Newcomb 316 1.7× 201 1.3× 197 1.4× 101 0.8× 13 0.1× 18 598
Jonathan Lebowitz 183 1.0× 156 1.0× 153 1.1× 121 0.9× 47 0.5× 13 534
Christine Leonhard 52 0.3× 107 0.7× 145 1.0× 232 1.7× 32 0.4× 8 671
Oyinbo Charles Aidemise 75 0.4× 58 0.4× 140 1.0× 209 1.6× 23 0.3× 10 632

Countries citing papers authored by Jeffrey K. Teraoka

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey K. Teraoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey K. Teraoka

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