Kendall Likes

30 total papers · 862 total citations
20 papers, 579 citations indexed

About

Kendall Likes is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Internal Medicine. According to data from OpenAlex, Kendall Likes has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 13 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Internal Medicine. Recurrent topics in Kendall Likes's work include Peripheral Nerve Disorders (13 papers), Nerve Injury and Rehabilitation (11 papers) and Orthopedic Surgery and Rehabilitation (9 papers). Kendall Likes is often cited by papers focused on Peripheral Nerve Disorders (13 papers), Nerve Injury and Rehabilitation (11 papers) and Orthopedic Surgery and Rehabilitation (9 papers). Kendall Likes collaborates with scholars based in United States. Kendall Likes's co-authors include Julie A. Freischlag, Danielle H. Rochlin, Ying Wei Lum, Paul J. Christo, Megan S. Orlando, Marta M. Gilson, Yue Cao, Thomas Reifsnyder, Benjamin S. Brooke and James H. Black and has published in prestigious journals such as Diabetes Care, Journal of Vascular Surgery and Journal of the American College of Surgeons.

In The Last Decade

Kendall Likes

20 papers receiving 565 citations

Author Peers

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

Author Last Decade Papers Cites
Kendall Likes 470 436 81 45 41 20 579
Katsuhiro Kondo 350 0.7× 131 0.3× 93 1.1× 31 0.7× 20 0.5× 19 570
J J Bergan 409 0.9× 21 0.0× 219 2.7× 66 1.5× 63 1.5× 22 499
Towne Jb 336 0.7× 46 0.1× 34 0.4× 44 1.0× 12 0.3× 16 571
Spencer B. King 504 1.1× 233 0.5× 18 0.2× 64 1.4× 11 0.3× 15 659
Gary M. Gross 302 0.6× 110 0.3× 28 0.3× 16 0.4× 16 0.4× 26 592
Semi Sen 198 0.4× 133 0.3× 74 0.9× 8 0.2× 21 0.5× 32 685
Eric D. Wang 637 1.4× 23 0.1× 24 0.3× 19 0.4× 8 0.2× 15 690
N. Georgiou 281 0.6× 19 0.0× 228 2.8× 17 0.4× 57 1.4× 14 530
Maria Cera 398 0.8× 240 0.6× 32 0.4× 16 0.4× 25 0.6× 20 618
Joseph J. Fulton 422 0.9× 55 0.1× 35 0.4× 85 1.9× 8 0.2× 13 674

Countries citing papers authored by Kendall Likes

Since Specialization
Citations

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

Fields of papers citing papers by Kendall Likes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kendall Likes

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