Dana J. Fraser

19 total papers · 1.1k total citations
8 papers, 194 citations indexed

About

Dana J. Fraser is a scholar working on Genetics, Oncology and Pharmacology. According to data from OpenAlex, Dana J. Fraser has authored 8 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 2 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Dana J. Fraser's work include Genetic Associations and Epidemiology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). Dana J. Fraser is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). Dana J. Fraser collaborates with scholars based in United States, United Kingdom and India. Dana J. Fraser's co-authors include Karen S. King, Mark D. Mannie, Liling Warren, Thomas J. McConnell, Jennifer L. Aponte, Matthew R. Nelson, Chun‐Fang Xu, Linda P. Briley, Neil Kaplowitz and Tomaz Berisa and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Dana J. Fraser

8 papers receiving 193 citations

Author Peers

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

Author Last Decade Papers Cites
Dana J. Fraser 54 37 33 31 26 8 194
Morelli 40 0.7× 9 0.2× 17 0.5× 36 1.2× 96 3.7× 6 279
Miriam M. Düll 27 0.5× 10 0.3× 28 0.8× 31 1.0× 67 2.6× 12 270
N. Ohnuma 87 1.6× 4 0.1× 33 1.0× 18 0.6× 23 0.9× 9 273
Zhenzhen Zi 107 2.0× 10 0.3× 21 0.6× 34 1.1× 41 1.6× 6 227
Katharina Haas 121 2.2× 5 0.1× 20 0.6× 40 1.3× 45 1.7× 6 291
Xirun Zheng 100 1.9× 11 0.3× 10 0.3× 34 1.1× 17 0.7× 9 211
Yoshiko Mukumoto 170 3.1× 5 0.1× 21 0.6× 22 0.7× 10 0.4× 7 284
S.J. Xu 226 4.2× 13 0.4× 58 1.8× 22 0.7× 15 0.6× 9 284
Joël van Roon 61 1.1× 11 0.3× 12 0.4× 13 0.4× 6 0.2× 9 217
Wei Liu 72 1.3× 11 0.3× 96 2.9× 22 0.7× 5 0.2× 7 201

Countries citing papers authored by Dana J. Fraser

Since Specialization
Citations

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

Fields of papers citing papers by Dana J. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana J. Fraser. 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 Dana J. Fraser. The network helps show where Dana J. Fraser may publish in the future.

Co-authorship network of co-authors of Dana J. Fraser

This figure shows the co-authorship network connecting the top 25 collaborators of Dana J. Fraser. A scholar is included among the top collaborators of Dana J. Fraser 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 Dana J. Fraser. Dana J. Fraser 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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