David Wages

40 total papers · 944 total citations
31 papers, 719 citations indexed

About

David Wages is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Wages has authored 31 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Wages's work include Lung Cancer Treatments and Mutations (6 papers), Blood transfusion and management (5 papers) and Epigenetics and DNA Methylation (4 papers). David Wages is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Blood transfusion and management (5 papers) and Epigenetics and DNA Methylation (4 papers). David Wages collaborates with scholars based in United States, Japan and Switzerland. David Wages's co-authors include Laurence Corash, Irena Melnikova, Lily Lin, James L.M. Ferrara, Julie Hambleton, Richard J. Benjamin, Lindsey Wood, David A. Smith, John Nemunaitis and Yi‐Long Wu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Nature Reviews Drug Discovery.

In The Last Decade

David Wages

31 papers receiving 698 citations

Author Peers

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

Author Last Decade Papers Cites
David Wages 235 225 161 152 132 31 719
Kendall P. Crookston 119 0.5× 232 1.0× 183 1.1× 75 0.5× 129 1.0× 36 776
Iris M. De Cuyper 131 0.6× 211 0.9× 147 0.9× 54 0.4× 143 1.1× 26 688
Kaaron Benson 169 0.7× 165 0.7× 181 1.1× 121 0.8× 54 0.4× 24 636
Shigeru Takamoto 115 0.5× 219 1.0× 179 1.1× 48 0.3× 95 0.7× 46 664
Varsha Bhakta 130 0.6× 284 1.3× 256 1.6× 87 0.6× 58 0.4× 60 795
Sveinn Guðmundsson 194 0.8× 201 0.9× 249 1.5× 57 0.4× 81 0.6× 34 839
J. N. Shanberge 128 0.5× 321 1.4× 87 0.5× 73 0.5× 49 0.4× 42 853
Photis Beris 110 0.5× 465 2.1× 137 0.9× 47 0.3× 92 0.7× 44 796
Meghna Alimchandani 115 0.5× 68 0.3× 79 0.5× 36 0.2× 92 0.7× 22 620
Thomas A Ratko 83 0.4× 255 1.1× 172 1.1× 20 0.1× 104 0.8× 32 813

Countries citing papers authored by David Wages

Since Specialization
Citations

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

Fields of papers citing papers by David Wages

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wages

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