Daniel McQuaid

23 total papers · 947 total citations
4 papers, 493 citations indexed

About

Daniel McQuaid is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Daniel McQuaid has authored 4 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Hematology. Recurrent topics in Daniel McQuaid's work include Lymphoma Diagnosis and Treatment (2 papers), Ubiquitin and proteasome pathways (1 paper) and Acute Myeloid Leukemia Research (1 paper). Daniel McQuaid is often cited by papers focused on Lymphoma Diagnosis and Treatment (2 papers), Ubiquitin and proteasome pathways (1 paper) and Acute Myeloid Leukemia Research (1 paper). Daniel McQuaid collaborates with scholars based in United States, United Kingdom and Germany. Daniel McQuaid's co-authors include Hanqing Dong, Craig M. Crews, Daniel P. Bondeson, Momar Toure, John Hines, Yimin Qian, Jing Wang, Andrew P. Crew, George M. Burslem and Saul Jaime‐Figueroa and has published in prestigious journals such as Genome biology, Human Pathology and American Journal of Clinical Pathology.

In The Last Decade

Daniel McQuaid

4 papers receiving 479 citations

Hit Papers

The Advantages of Targete... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Daniel McQuaid 456 220 147 22 19 4 493
Michael J. Bond 443 1.0× 223 1.0× 100 0.7× 21 1.0× 33 1.7× 10 485
Edmund C. Lee 393 0.9× 171 0.8× 179 1.2× 11 0.5× 34 1.8× 4 464
Nicola J. Sunter 438 1.0× 181 0.8× 45 0.3× 17 0.8× 30 1.6× 9 526
Joe Bolen 346 0.8× 169 0.8× 178 1.2× 7 0.3× 34 1.8× 3 407
Bret Bannerman 406 0.9× 215 1.0× 195 1.3× 16 0.7× 41 2.2× 9 514
Caterina Ferraro 438 1.0× 199 0.9× 131 0.9× 38 1.7× 28 1.5× 10 475
Anne Mirabella 352 0.8× 157 0.7× 51 0.3× 20 0.9× 36 1.9× 6 429
Jeannette Gogel 372 0.8× 150 0.7× 109 0.7× 21 1.0× 19 1.0× 8 471
Frédéric Féru 394 0.9× 169 0.8× 59 0.4× 34 1.5× 54 2.8× 8 450
Michael Screen 375 0.8× 131 0.6× 68 0.5× 7 0.3× 17 0.9× 10 429

Countries citing papers authored by Daniel McQuaid

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McQuaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McQuaid

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