Grace Kennedy

1.7k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Grace Kennedy is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Grace Kennedy has authored 15 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 Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Grace Kennedy's work include Sphingolipid Metabolism and Signaling (5 papers), Orthopaedic implants and arthroplasty (2 papers) and Marine animal studies overview (2 papers). Grace Kennedy is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Orthopaedic implants and arthroplasty (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, Xiaoqin Ye, Michael K. Skinner, Ji Woong Choi, Brigitte Anliker, Yun C. Yung, Deron R. Herr, Kyoko Noguchi and Melissa Lu 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) efficacy in an animal model of multip... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Grace Kennedy
Comparison fields: 5 of 95
  • Molecular Biology 854
  • Immunology 321
  • Neurology 207
  • Cell Biology 196
  • Physiology 174
Replace Stuart J. Rabin with:
Stuart J. Rabin United States
Winfried Edelmann United States
Luisa Di Stefano United States
Yiai Tong Canada
Kazuki Hagihara United States
Amanda Charlesworth United States
John D. Inglis United Kingdom
Ileana Zucchi Italy
Jami Dwyer United States
Stuart J. Rabin United States View profile →
Citations per field, relative to Grace Kennedy
Grace Kennedy · 1×
Citations per year, relative to Grace Kennedy
Grace Kennedy · 1×

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

15 of 15 papers shown
# Work Indexed citations
1 0
2 0
3 6
4 3
5 4
6 34
7 45
8 151
9 59
10
FTY720 (fingolimod) efficacy in an animal model of multiple sclerosis requires astrocyte sphingosine 1-phosphate receptor 1 (S1P 1 ) modulation breakdown →
489
11 6
12 67
13 445
14 17
15 21

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026