Diane L. Sabo

52 total papers · 2.4k total citations
36 papers, 1.7k citations indexed

About

Diane L. Sabo is a scholar working on Otorhinolaryngology, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Diane L. Sabo has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Otorhinolaryngology, 16 papers in Sensory Systems and 13 papers in Cognitive Neuroscience. Recurrent topics in Diane L. Sabo's work include Hearing, Cochlea, Tinnitus, Genetics (16 papers), Ear Surgery and Otitis Media (16 papers) and Hearing Loss and Rehabilitation (13 papers). Diane L. Sabo is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (16 papers), Ear Surgery and Otitis Media (16 papers) and Hearing Loss and Rehabilitation (13 papers). Diane L. Sabo collaborates with scholars based in United States, Germany and Sweden. Diane L. Sabo's co-authors include Jack L. Paradise, Marcia Kurs‐Lasky, Howard E. Rockette, Christine A. Dollaghan, Heidi M. Feldman, Thomas F. Campbell, Clyde G. Smith, Beverly S. Bernard, D. Kathleen Colborn and Janine E. Janosky and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Diane L. Sabo

35 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Diane L. Sabo 700 433 407 399 357 36 1.7k
Beverly S. Bernard 1.1k 1.5× 240 0.6× 303 0.7× 926 2.3× 457 1.3× 24 2.4k
Clyde G. Smith 1.2k 1.8× 334 0.8× 335 0.8× 738 1.8× 215 0.6× 19 1.7k
Harvey Coates 865 1.2× 194 0.4× 161 0.4× 616 1.5× 396 1.1× 72 1.9k
Jesse M. Hackell 920 1.3× 159 0.4× 106 0.3× 660 1.7× 327 0.9× 31 2.1k
Ho Ming Yuen 151 0.2× 564 1.3× 364 0.9× 114 0.3× 179 0.5× 45 1.9k
M. P. Haggard 486 0.7× 547 1.3× 158 0.4× 315 0.8× 138 0.4× 49 1.3k
Kathleen A. Daly 965 1.4× 188 0.4× 84 0.2× 544 1.4× 241 0.7× 57 1.6k
Ellen M. Mandel 1.6k 2.3× 155 0.4× 121 0.3× 1.0k 2.6× 319 0.9× 73 2.3k
Anne Marie Oudesluys‐Murphy 134 0.2× 380 0.9× 197 0.5× 124 0.3× 667 1.9× 78 1.8k
Nina L. Shapiro 454 0.6× 305 0.7× 60 0.1× 549 1.4× 298 0.8× 91 2.3k

Countries citing papers authored by Diane L. Sabo

Since Specialization
Citations

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

Fields of papers citing papers by Diane L. Sabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane L. Sabo. 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 Diane L. Sabo. The network helps show where Diane L. Sabo may publish in the future.

Co-authorship network of co-authors of Diane L. Sabo

This figure shows the co-authorship network connecting the top 25 collaborators of Diane L. Sabo. A scholar is included among the top collaborators of Diane L. Sabo 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 Diane L. Sabo. Diane L. Sabo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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