Suzanne Hector

910 citations
16 papers · 718 · h-index 12

Impact in

Papers in

    • Polyamine Metabolism and Applications 4
    • Cell death mechanisms and regulation 3
    • DNA Repair Mechanisms 2
    • Epigenetics and DNA Methylation 2
    • Colorectal Cancer Treatments and Studies 2

Suzanne Hector

16 papers receiving 711 citations

Peers

Suzanne Hector
Comparison fields: 5 of 75
  • Cancer Research 106
  • Oncology 179
  • Molecular Biology 485
  • Biochemistry 39
  • Cell Biology 51
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Jake Delmore United States
Karen M. Holdaway New Zealand
Jean‐Charles Faye France
Hanzhang Xu China
Paul B. Laub United States
Sinclair R. Dundas United Kingdom
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Brigitte Schott Switzerland
Wayne D. Klohs United States
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Suzanne Hector

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Hector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001139
2 2009105
3 200485
4 201379
5 200568
6 201656
7 200446
8 201141
9 200724
10 200621
11 201019
12 200611
13
Simultaneous modeling of concentration-effect and time-course patterns in gene expression data from microarrays.
200810
14 20127
15 19975
16 20112

About Suzanne Hector

Suzanne Hector is a scholar working on Molecular Biology, Oncology, Cell Biology, Pathology and Forensic Medicine and Biochemistry, having authored 16 papers that have together received 718 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (4 papers), Cell death mechanisms and regulation (3 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (106 citations), Oncology (179 citations), Molecular Biology (485 citations), Biochemistry (39 citations) and Cell Biology (51 citations). Suzanne Hector has collaborated with scholars based in United States, Ireland and Russia. Frequent co-authors include Lakshmi Pendyala, Jochen H.M. Prehn, Joseph Zdanowicz, Kimberly Clark, William R. Greco, Elaine W. Kay, Lesleyann Hawthorn, Caoimhín G. Concannon, Deborah A. McNamara and Carl W. Porter. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Cancer Research, Molecular Cancer Therapeutics, Cancer Letters and Journal of Translational Medicine.

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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