Daniel McQuaid

956 citations
4 papers · 501 · 1 hit paper · h-index 3

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research

Papers in

Daniel McQuaid

4 papers receiving 488 citations

Daniel McQuaid's Hit Papers

The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Study 2017 · 488 citations
4880+3+6Years since publication100200300400

Peers

Daniel McQuaid
Comparison fields: 5 of 37
  • Hematology 149
  • Oncology 222
  • Molecular Biology 465
  • Genetics 17
  • Immunology 19
Replace Edmund C. Lee with:
Edmund C. Lee United States
Eugenia Lorenzini Italy
Anuradha Illendula United States
Joe Bolen United States
Emma C. Fink United States
Phyllis S.Y. Chong Singapore
Irene Manrique Spain
Jing-Yuan Chooi Singapore
Michael J. Bond United States
Tatiana Shorstova Canada
Daniel McQuaid relative to Edmund C. Lee United States Edmund C. Lee's profile →
Citations per field
00.5×3.0×
Edmund C. Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel McQuaid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel McQuaid Line = papers co-authored together Daniel McQuaid links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Daniel McQuaid

Daniel McQuaid is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Hematology, Dermatology and Neurology, having authored 4 papers that have together received 501 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Protein Degradation and Inhibitors (1 paper), Multiple Myeloma Research and Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper), Cutaneous lymphoproliferative disorders research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (149 citations), Oncology (222 citations), Molecular Biology (465 citations), Genetics (17 citations) and Immunology (19 citations). Daniel McQuaid has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel P. Bondeson, George M. Burslem, Saul Jaime‐Figueroa, Andrew P. Crew, John Hines, Jing Wang, Momar Toure, Blake E. Smith, Hanqing Dong and Yimin Qian. Their work appears in journals such as Genome biology, Human Pathology, American Journal of Clinical Pathology and Cell chemical biology.

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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