Ruth Suffolk

562 citations
11 papers · 458 · h-index 8

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Ubiquitin and proteasome pathways 2
    • Steroid Chemistry and Biochemistry 2
    • Genomics and Chromatin Dynamics 2
    • Cholesterol and Lipid Metabolism 4

Ruth Suffolk

11 papers receiving 438 citations

Peers

Ruth Suffolk
Comparison fields: 5 of 54
  • Hematology 91
  • Genetics 65
  • Molecular Biology 292
  • Plant Science 103
  • Biochemistry 19
Replace Debora R. Wines with:
Debora R. Wines United States
D. Conkie United Kingdom
S. Takegawa Japan
S J Lu Canada
M. Giollant France
F Renaudie France
Sonja Bauer Germany
Lin Miao China
Nathan Mbong Canada
Guohui Ren United States
Ruth Suffolk relative to Debora R. Wines United States Debora R. Wines's profile →
Citations per field
00.5×7.5×
Debora R. Wines · 1×
Citations per year

Countries citing papers authored by Ruth Suffolk

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Suffolk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ruth Suffolk, 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 Ruth Suffolk Line = papers co-authored together Ruth Suffolk links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1989200
2 199594
3 199949
4 199529
5 198526
6 198726
7 199916
8 19888
9 19894
10
United Kingdom Medical Research Council Randomized Trial of Interferon Alfa in Chronic-Phase Chronic Myelogenous Leukemia.
19934
11 20002

About Ruth Suffolk

Ruth Suffolk is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Hematology, having authored 11 papers that have together received 458 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Ubiquitin and proteasome pathways (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Steroid Chemistry and Biochemistry (2 papers), Genomics and Chromatin Dynamics (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Hematology (91 citations), Genetics (65 citations), Molecular Biology (292 citations), Plant Science (103 citations) and Biochemistry (19 citations). Ruth Suffolk has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Christopher J. Leaver, Ian Small, N. C. Allan, Jim Halsey, Patricia Shepherd, Ian J. Jackson, Eleanor H. Simpson, Keith E. Suckling, P.R. Hunsicker and Dabney K. Johnson. Their work appears in journals such as Mammalian Genome, Developmental Biology, Genomics, British Journal of Haematology and Cell.

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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