Grace Kennedy

23 total papers · 1.7k total citations
13 papers, 1.3k citations indexed

About

Grace Kennedy is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Grace Kennedy has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Grace Kennedy's work include Sphingolipid Metabolism and Signaling (5 papers), Animal Vocal Communication and Behavior (2 papers) and Marine animal studies overview (2 papers). Grace Kennedy is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Animal Vocal Communication and Behavior (2 papers) and Marine animal studies overview (2 papers). Grace Kennedy collaborates with scholars based in United States, United Kingdom and South Korea. Grace Kennedy's co-authors include Jerold Chun, Richard Rivera, Michael K. Skinner, Xiaoqin Ye, Ji Woong Choi, Yun C. Yung, Brigitte Anliker, Melissa Lu, Deron R. Herr and Chang‐Wook Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Grace Kennedy

13 papers receiving 1.3k citations

Hit Papers

FTY720 (fingolimod) effic... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Grace Kennedy 853 319 207 196 173 13 1.3k
Ayumi Kitano 839 1.0× 230 0.7× 59 0.3× 172 0.9× 165 1.0× 30 1.6k
Francesco Galimi 963 1.1× 172 0.5× 129 0.6× 107 0.5× 225 1.3× 26 1.8k
Fiona M. Menzies 765 0.9× 273 0.9× 177 0.9× 120 0.6× 317 1.8× 25 1.8k
Jr-Gang Cheng 489 0.6× 399 1.3× 87 0.4× 65 0.3× 69 0.4× 11 1.2k
Tamara Berkutzki 479 0.6× 637 2.0× 677 3.3× 58 0.3× 300 1.7× 12 1.7k
Stuart J. Rabin 971 1.1× 104 0.3× 122 0.6× 187 1.0× 165 1.0× 25 1.7k
Filippo Casoni 652 0.8× 127 0.4× 88 0.4× 134 0.7× 104 0.6× 26 1.4k
Ebrahim Shafizadeh 509 0.6× 717 2.2× 119 0.6× 265 1.4× 88 0.5× 9 1.7k
Jingxue Yu 802 0.9× 315 1.0× 50 0.2× 99 0.5× 275 1.6× 14 1.5k
Holger Kissel 829 1.0× 368 1.2× 43 0.2× 147 0.8× 126 0.7× 13 1.5k

Countries citing papers authored by Grace Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Grace Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Kennedy

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