Mark Wade

35 total papers · 704 total citations
24 papers, 475 citations indexed

About

Mark Wade is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Mark Wade has authored 24 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Mark Wade's work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and Genomics and Chromatin Dynamics (4 papers). Mark Wade is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and Genomics and Chromatin Dynamics (4 papers). Mark Wade collaborates with scholars based in United Kingdom, United States and Spain. Mark Wade's co-authors include Luke Gaughan, Dominic Jones, Craig Robson, Jacqueline Stockley, Kelly Coffey, Laura Wilson, Daniel O’Neill, Sirintra Nakjang, Lynsey Rogerson and M. H. Moore and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

Mark Wade

23 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
Mark Wade 323 140 89 70 56 24 475
Magdalena Bieniasz 222 0.7× 97 0.7× 84 0.9× 50 0.7× 58 1.0× 23 411
Peggy Kanellou 217 0.7× 199 1.4× 92 1.0× 49 0.7× 66 1.2× 25 463
Jane Wass 184 0.6× 94 0.7× 113 1.3× 70 1.0× 49 0.9× 22 420
Zahra Asgari 203 0.6× 314 2.2× 125 1.4× 111 1.6× 49 0.9× 16 531
Theodore G. Gabig 183 0.6× 100 0.7× 60 0.7× 33 0.5× 90 1.6× 21 505
Mirco Compagnone 292 0.9× 229 1.6× 56 0.6× 25 0.4× 114 2.0× 23 469
Debra M. Krupke 219 0.7× 126 0.9× 84 0.9× 39 0.6× 152 2.7× 21 484
Molly Browne 240 0.7× 117 0.8× 147 1.7× 62 0.9× 121 2.2× 22 479
Yanjun Gu 345 1.1× 166 1.2× 206 2.3× 50 0.7× 76 1.4× 24 527
Thomas Metz 284 0.9× 128 0.9× 44 0.5× 27 0.4× 107 1.9× 22 434

Countries citing papers authored by Mark Wade

Since Specialization
Citations

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

Fields of papers citing papers by Mark Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Wade

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