Daniel McQuaid

987 citations
4 papers · 532 · 1 hit paper · h-index 3

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research

Papers in

Daniel McQuaid

4 papers receiving 519 citations

Daniel McQuaid's Hit Papers

The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Study 2017 · 518 citations
5180+3+6Years since publication100200300400500

Peers

Daniel McQuaid
Comparison fields: 5 of 38
  • Hematology 149
  • Oncology 225
  • Molecular Biology 478
  • Genetics 14
  • Cell Biology 14
Replace Edmund C. Lee with:
Edmund C. Lee United States
Joe Bolen United States
Emma C. Fink United States
Stacey-Lynn Paiva United States
Eugenia Lorenzini Italy
Tatiana Shorstova Canada
Caterina Ferraro United States
Andrew A. Guirguis Australia
Michael Screen United Kingdom
Gowri Vijayaraghavan United Kingdom
Daniel McQuaid relative to Edmund C. Lee United States Edmund C. Lee's profile →
Citations per field
00.5×3.1×
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

About Daniel McQuaid

Daniel McQuaid is a scholar working on Pathology and Forensic Medicine, Hematology, Molecular Biology, Immunology and Infectious Diseases, having authored 4 papers that have together received 532 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Immune Cell Function and Interaction (1 paper), Ubiquitin and proteasome pathways (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (149 citations), Oncology (225 citations), Molecular Biology (478 citations), Genetics (14 citations) and Cell Biology (14 citations). Daniel McQuaid has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hanqing Dong, Craig M. Crews, Daniel P. Bondeson, Yimin Qian, Andrew P. Crew, Saul Jaime‐Figueroa, Momar Toure, John Hines, Blake E. Smith and Jing Wang. Their work appears in journals such as American Journal of Clinical Pathology, Human Pathology, Genome biology 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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