Marc Naven

14 total papers · 2.2k total citations
3 papers, 67 citations indexed

About

Marc Naven is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Marc Naven has authored 3 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 1 paper in Molecular Biology and 1 paper in Genetics. Recurrent topics in Marc Naven's work include Monoclonal and Polyclonal Antibodies Research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Genetic factors in colorectal cancer (1 paper). Marc Naven is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Genetic factors in colorectal cancer (1 paper). Marc Naven collaborates with scholars based in United Kingdom and United States. Marc Naven's co-authors include Michael J. Wagner, Hannah D. West, James Colley, Ning Li, Yuan Liu, Laura Nichols, Richard Adams, Richard Kaplan, Rebecca Harris and Howard L. McLeod and has published in prestigious journals such as Annals of the Rheumatic Diseases, Journal of Medical Genetics and Human Mutation.

In The Last Decade

Marc Naven

3 papers receiving 67 citations

Author Peers

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

Author Last Decade Papers Cites
Marc Naven 30 26 21 21 18 3 67
Victor Enciso-Mora 51 1.7× 26 1.0× 20 1.0× 25 1.2× 12 0.7× 4 113
Françoise Bonnet‐Dorion 101 3.4× 16 0.6× 30 1.4× 31 1.5× 26 1.4× 2 132
Megan McNeil 62 2.1× 9 0.3× 11 0.5× 24 1.1× 23 1.3× 3 226
Catherine Dixon 81 2.7× 18 0.7× 28 1.3× 11 0.5× 14 0.8× 3 133
Máire Ní Leathlobhair 56 1.9× 15 0.6× 23 1.1× 61 2.9× 20 1.1× 4 125
Massimo Crabbio 24 0.8× 26 1.0× 8 0.4× 12 0.6× 5 0.3× 2 64
Cemre Celen 73 2.4× 23 0.9× 12 0.6× 14 0.7× 6 0.3× 4 101
Miriam Rubio-Camarillo 58 1.9× 15 0.6× 13 0.6× 22 1.0× 13 0.7× 5 90
Elizabeth Heimrich 14 0.5× 20 0.8× 12 0.6× 4 0.2× 8 0.4× 2 65
Vera M. Todd 38 1.3× 7 0.3× 49 2.3× 31 1.5× 8 0.4× 4 88

Countries citing papers authored by Marc Naven

Since Specialization
Citations

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

Fields of papers citing papers by Marc Naven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Naven

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