Helen Boyd

2.2k citations
45 papers · 1.6k · h-index 20

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 7
    • Ubiquitin and proteasome pathways 6
    • Protein Degradation and Inhibitors 6
    • Multiple Myeloma Research and Treatments 4

Helen Boyd

43 papers receiving 1.6k citations

Peers

Helen Boyd
Comparison fields: 5 of 121
  • Cancer Research 214
  • Molecular Medicine 56
  • Molecular Biology 759
  • Biochemistry 60
  • Clinical Biochemistry 57
Replace Hui‐Chih Hung with:
Hui‐Chih Hung Taiwan
Dov Shiffman United States
Wenya Huang Taiwan
Frank A. Giordano Germany
Sushanta K. Banerjee United States
Geoffrey A. Talmon United States
Willi Kreis United States
Michael P. Caulfield United States
Dennis Ma Canada
Eric Scholar United States
Helen Boyd relative to Hui‐Chih Hung Taiwan Hui‐Chih Hung's profile →
Citations per field
00.5×3.2×
Hui‐Chih Hung · 1×
Citations per year

Countries citing papers authored by Helen Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Helen Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Helen Boyd, 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 Helen Boyd Line = papers co-authored together Helen Boyd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999297
2 2020167
3 1996140
4 1998125
5 200293
6 200285
7 199973
8 201456
9 201354
10 198543
11 199837
12 200735
13 200633
14 202233
15 201331
16 201729
17 199827
18 200225
19 200025
20 200024

About Helen Boyd

Helen Boyd is a scholar working on Molecular Biology, Hematology, Pharmacology, Rheumatology and Genetics, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (6 papers), Multiple Myeloma Research and Treatments (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Blood disorders and treatments (4 papers), Structural Integrity and Reliability Analysis (3 papers) and Antioxidant Activity and Oxidative Stress (3 papers). The work is most often cited by research in Cancer Research (214 citations), Molecular Medicine (56 citations), Molecular Biology (759 citations), Biochemistry (60 citations) and Clinical Biochemistry (57 citations). Helen Boyd has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include David G. Tew, Colin H. Macphee, Kitty Moores, Deirdre M. B. Hickey, Colin A. Leach, Robert J. Ife, Kevin J. Milliner, Keith E. Suckling, David S. Leake and Rebecca A. Patterson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Biochemical Journal, Atherosclerosis and Assay and Drug Development Technologies.

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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