Rod E. Hubbard

1.1k citations
13 papers · 926 · h-index 7

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Hemoglobin structure and function
  • Oncology top 10%
    • Chemokine receptors and signaling

Papers in

Rod E. Hubbard

12 papers receiving 883 citations

Peers

Rod E. Hubbard
Comparison fields: 5 of 81
  • Cell Biology 231
  • Oncology 197
  • Atmospheric Science 83
  • Immunology and Allergy 25
  • Computational Theory and Mathematics 57
Replace Yoshihiro Kobashigawa with:
Yoshihiro Kobashigawa Japan
Krishnanand D. Kumble United States
Jean-Philippe Kleman France
Eduardo Vadillo Mexico
Hongda Huang China
Sam Donohoe United States
Len Pagliaro United States
Deborah F. Kelly United States
Nili Dezorella Israel
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Citations per field
00.5×2×3×4×4.9×
Yoshihiro Kobashigawa · 1×
Citations per year

Countries citing papers authored by Rod E. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by Rod E. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rod E. Hubbard. 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 Rod E. Hubbard. The network helps show where Rod E. Hubbard may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1999502
2 2000219
3 199285
4 201679
5 199811
6 19948
7 19987
8 19975
9 19833
10 19873
11 19932
12 20001
13
NVP-AUY922 / VER-52296: A novel 3,4 diarylisoxazole Hsp90 chaperone inhibitor discovered via structure-based drug design
20071

About Rod E. Hubbard

Rod E. Hubbard is a scholar working on Cell Biology, Physical and Theoretical Chemistry, Materials Chemistry, Organic Chemistry and Immunology and Allergy, having authored 13 papers that have together received 926 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Hemoglobin structure and function (2 papers), Crystallography and molecular interactions (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Polar Research and Ecology (1 paper), nanoparticles nucleation surface interactions (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Cell Biology (231 citations), Oncology (197 citations), Atmospheric Science (83 citations), Immunology and Allergy (25 citations) and Computational Theory and Mathematics (57 citations). Rod E. Hubbard has collaborated with scholars based in United Kingdom, New Zealand and Ireland. Frequent co-authors include Timothy N. C. Wells, Arlene J. Hoogewerf, Amanda E. I. Proudfoot, Gabriele S. V. Kuschert, Christine A. Power, Paul D. A. Pudney, Chris Holt, Sarah L. Buckley, C. Sidebottom and Carl D. Jarman. Their work appears in journals such as Journal of Molecular Biology, Nature Chemistry, Molecular Cancer Therapeutics, Methods in enzymology on CD-ROM/Methods in enzymology and Nature.

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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