Nick de Pennington

101 total papers · 1.3k total citations
35 papers, 835 citations indexed

About

Nick de Pennington is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Nick de Pennington has authored 35 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Neurology. Recurrent topics in Nick de Pennington's work include Glioma Diagnosis and Treatment (6 papers), Neurological disorders and treatments (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Nick de Pennington is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Neurological disorders and treatments (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Nick de Pennington collaborates with scholars based in United Kingdom, United States and Singapore. Nick de Pennington's co-authors include Edward Meinert, Ernest Lim, Guy Mole, Eduardo Normando, Madison Milne‐Ives, Melissa Harper Shehadeh, Caroline de Cock, Tipu Z. Aziz, Carole Joint and Erlick Pereira and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Annals of the New York Academy of Sciences.

In The Last Decade

Nick de Pennington

33 papers receiving 814 citations

Author Peers

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

Author Last Decade Papers Cites
Nick de Pennington 173 139 133 133 129 35 835
Agata Blasiak 89 0.5× 112 0.8× 42 0.3× 55 0.4× 13 0.1× 58 921
Giovanni Briganti 170 1.0× 225 1.6× 38 0.3× 148 1.1× 13 0.1× 43 908
Yoko Eguchi 55 0.3× 32 0.2× 41 0.3× 44 0.3× 45 0.3× 44 830
Ivana Malenica 69 0.4× 131 0.9× 21 0.2× 101 0.8× 73 0.6× 22 904
Rohaid Ali 209 1.2× 362 2.6× 49 0.4× 118 0.9× 140 1.1× 34 714
Roberto Grasso 97 0.6× 50 0.4× 32 0.2× 41 0.3× 104 0.8× 39 706
Jennifer J. Kulynych 179 1.0× 45 0.3× 86 0.6× 25 0.2× 50 0.4× 20 974
Krishnan Ganapathy 77 0.4× 40 0.3× 134 1.0× 19 0.1× 145 1.1× 81 773
Changyu Wang 198 1.1× 430 3.1× 84 0.6× 206 1.5× 11 0.1× 12 735
Andrea Coravos 36 0.2× 71 0.5× 248 1.9× 46 0.3× 49 0.4× 19 935

Countries citing papers authored by Nick de Pennington

Since Specialization
Citations

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

Fields of papers citing papers by Nick de Pennington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick de Pennington. 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 Nick de Pennington. The network helps show where Nick de Pennington may publish in the future.

Co-authorship network of co-authors of Nick de Pennington

This figure shows the co-authorship network connecting the top 25 collaborators of Nick de Pennington. A scholar is included among the top collaborators of Nick de Pennington 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 Nick de Pennington. Nick de Pennington 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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