S. Cutbush

549 citations
18 papers · 478 · h-index 12

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 7
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune Cell Function and Interaction 3

S. Cutbush

18 papers receiving 447 citations

Peers

S. Cutbush
Comparison fields: 5 of 71
  • Immunology 180
  • Rheumatology 82
  • Genetics 149
  • Endocrinology, Diabetes and Metabolism 58
  • Hematology 34
Replace Kazuko Akiyama with:
Kazuko Akiyama Japan
Katherine A. Rouleau United States
Yongqi Luo China
Ari J. Salinger United States
Ana Knežević Croatia
C Turberville United Kingdom
Shigetoshi Yamada Japan
Hulbert K. B. Silver Canada
Hiroko Taga Japan
D. J. Theo Wagener Netherlands
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Citations per field
00.5×4.5×
Kazuko Akiyama · 1×
Citations per year

Countries citing papers authored by S. Cutbush

Since Specialization
Citations

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

Fields of papers citing papers by S. Cutbush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1986122
2 1984113
3 199234
4 198327
5 198924
6 199424
7 199224
8 198918
9 199318
10 199017
11 198517
12 198913
13 19898
14 19858
15 19837
16 19902
17 19831
18 19811

About S. Cutbush

S. Cutbush is a scholar working on Immunology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 18 papers that have together received 478 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Metal complexes synthesis and properties (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Diabetes and associated disorders (3 papers), Immune Cell Function and Interaction (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (180 citations), Rheumatology (82 citations), Genetics (149 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Hematology (34 citations). S. Cutbush has collaborated with scholars based in United Kingdom, Greece and Thailand. Frequent co-authors include Stephen Neidle, H. Festenstein, J. A. Sachs, J. Awad, G. A. Hitman, Paul G. Cassell, John Mann, T.A. Millican, J. Gunning and T.P. Patel. Their work appears in journals such as Journal of Medicinal Chemistry, Acta Crystallographica Section C Crystal Structure Communications, Carcinogenesis, Nature and Journal of Inorganic Biochemistry.

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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