Prudence M. Grandison

11 total papers · 653 total citations
11 papers, 545 citations indexed

About

Prudence M. Grandison is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Prudence M. Grandison has authored 11 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Prudence M. Grandison's work include Toxin Mechanisms and Immunotoxins (5 papers), Galectins and Cancer Biology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Prudence M. Grandison is often cited by papers focused on Toxin Mechanisms and Immunotoxins (5 papers), Galectins and Cancer Biology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Prudence M. Grandison collaborates with scholars based in New Zealand, United States and France. Prudence M. Grandison's co-authors include Nagarajan Kannan, Peter E. Lobie, Jo K. Perry, J. Greg Murison, Matthew A. Sleeman, James D. Watson, Megan C. McDonald, Krishnanand D. Kumble, Murray D. Mitchell and Ross L. Prestidge and has published in prestigious journals such as Endocrinology, Infection and Immunity and Gene.

In The Last Decade

Prudence M. Grandison

11 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Prudence M. Grandison 369 107 102 101 78 11 545
I Krebs 287 0.8× 156 1.5× 70 0.7× 96 1.0× 101 1.3× 11 577
I. S. Irlin 191 0.5× 79 0.7× 118 1.2× 131 1.3× 85 1.1× 12 574
Patricia Klinger 202 0.5× 61 0.6× 114 1.1× 77 0.8× 74 0.9× 16 531
Kylie Su Mei Yong 316 0.9× 160 1.5× 75 0.7× 103 1.0× 75 1.0× 15 565
Emmanuel Ravet 251 0.7× 77 0.7× 66 0.6× 147 1.5× 115 1.5× 10 500
Birgit Meyer 284 0.8× 120 1.1× 54 0.5× 118 1.2× 168 2.2× 16 554
Michael Varello 241 0.7× 74 0.7× 68 0.7× 208 2.1× 46 0.6× 15 579
Philippe Vielh 187 0.5× 172 1.6× 111 1.1× 175 1.7× 60 0.8× 13 535
Ya‐Ping Ko 222 0.6× 54 0.5× 39 0.4× 87 0.9× 40 0.5× 14 528
Salim Abdisalaam 336 0.9× 112 1.0× 72 0.7× 142 1.4× 22 0.3× 13 520

Countries citing papers authored by Prudence M. Grandison

Since Specialization
Citations

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

Fields of papers citing papers by Prudence M. Grandison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prudence M. Grandison. 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 Prudence M. Grandison. The network helps show where Prudence M. Grandison may publish in the future.

Co-authorship network of co-authors of Prudence M. Grandison

This figure shows the co-authorship network connecting the top 25 collaborators of Prudence M. Grandison. A scholar is included among the top collaborators of Prudence M. Grandison 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 Prudence M. Grandison. Prudence M. Grandison 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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