Suzanne Hector

904 total citations
16 papers, 714 citations indexed

About

Suzanne Hector is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Suzanne Hector has authored 16 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Suzanne Hector's work include Polyamine Metabolism and Applications (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Suzanne Hector is often cited by papers focused on Polyamine Metabolism and Applications (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Suzanne Hector collaborates with scholars based in United States, Ireland and United Kingdom. Suzanne Hector's co-authors include Lakshmi Pendyala, Jochen H.M. Prehn, Joseph Zdanowicz, Kimberly Clark, William R. Greco, Lesleyann Hawthorn, Caoimhín G. Concannon, Carl W. Porter, Deborah A. McNamara and Elaine W. Kay and has published in prestigious journals such as Cancer Research, Gut and International Journal of Cancer.

In The Last Decade

Suzanne Hector

16 papers receiving 707 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suzanne Hector United States 12 526 229 124 53 51 16 714
Vincent Denis France 11 393 0.7× 184 0.8× 126 1.0× 40 0.8× 57 1.1× 15 623
Reza Beheshti Zavareh United States 12 626 1.2× 242 1.1× 254 2.0× 75 1.4× 44 0.9× 15 929
Jean‐Charles Faye France 19 472 0.9× 160 0.7× 133 1.1× 50 0.9× 24 0.5× 41 855
Angelo Lupo Italy 16 673 1.3× 199 0.9× 126 1.0× 44 0.8× 18 0.4× 32 880
Suxing Liu China 11 766 1.5× 436 1.9× 114 0.9× 52 1.0× 51 1.0× 16 1.0k
Brigitte Schott Switzerland 12 532 1.0× 447 2.0× 106 0.9× 62 1.2× 24 0.5× 14 876
Karen M. Holdaway New Zealand 15 464 0.9× 279 1.2× 132 1.1× 61 1.2× 123 2.4× 19 776
Gabriela Tudor United States 6 742 1.4× 297 1.3× 96 0.8× 59 1.1× 61 1.2× 8 971
Jessica Hauschild Germany 17 565 1.1× 185 0.8× 186 1.5× 37 0.7× 47 0.9× 34 1.1k
S Akiyama Japan 14 630 1.2× 667 2.9× 214 1.7× 34 0.6× 76 1.5× 38 1.2k

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-authorship network of co-authors of Suzanne Hector

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Hector. A scholar is included among the top collaborators of Suzanne Hector based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne Hector. Suzanne Hector is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Carberry, Steven, Áine C. Murphy, Andreas U. Lindner, et al.. (2016). Calnexin, an ER-induced protein, is a prognostic marker and potential therapeutic target in colorectal cancer. Journal of Translational Medicine. 14(1). 196–196. 53 indexed citations
2.
Lindner, Andreas U., Caoimhín G. Concannon, Gerhardt J. Boukes, et al.. (2013). Systems Analysis of BCL2 Protein Family Interactions Establishes a Model to Predict Responses to Chemotherapy. Cancer Research. 73(2). 519–528. 79 indexed citations
3.
Allen, Wendy L., Richard Turkington, Leanne Stevenson, et al.. (2012). Pharmacogenomic Profiling and Pathway Analyses Identify MAPK-Dependent Migration as an Acute Response to SN38 in p53 Null and p53-Mutant Colorectal Cancer Cells. Molecular Cancer Therapeutics. 11(8). 1724–1734. 7 indexed citations
4.
McCawley, Niamh, Suzanne Hector, Robert Cummins, et al.. (2011). Analyzing proteasomal subunit expression reveals Rpt4 as a prognostic marker in stage II colorectal cancer. International Journal of Cancer. 131(4). E494–500. 2 indexed citations
5.
Hector, Suzanne, Markus Rehm, Jasmin Schmid, et al.. (2011). Clinical application of a systems model of apoptosis execution for the prediction of colorectal cancer therapy responses and personalisation of therapy. Gut. 61(5). 725–733. 41 indexed citations
6.
7.
Hector, Suzanne & Jochen H.M. Prehn. (2009). Apoptosis signaling proteins as prognostic biomarkers in colorectal cancer: A review. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1795(2). 117–129. 106 indexed citations
8.
Hector, Suzanne, et al.. (2008). Simultaneous modeling of concentration-effect and time-course patterns in gene expression data from microarrays.. PubMed. 5(1). 43–53. 10 indexed citations
9.
Hector, Suzanne, Ramakumar Tummala, Nicholas Kisiel, et al.. (2007). Polyamine catabolism in colorectal cancer cells following treatment with oxaliplatin, 5-fluorouracil and N 1 , N 11 diethylnorspermine. Cancer Chemotherapy and Pharmacology. 62(3). 517–527. 24 indexed citations
10.
Hector, Suzanne, et al.. (2006). Characterization of a clonal isolate of an oxaliplatin resistant ovarian carcinoma cell line A2780/C10. Cancer Letters. 245(1-2). 195–204. 11 indexed citations
11.
Hector, Suzanne, William R. Greco, Kimberly Clark, et al.. (2006). Platinum drug effects on the expression of genes in the polyamine pathway: time-course and concentration-effect analysis based on Affymetrix gene expression profiling of A2780 ovarian carcinoma cells. Cancer Chemotherapy and Pharmacology. 59(6). 711–723. 21 indexed citations
12.
Hector, Suzanne, et al.. (2005). Gene expression profiling of a clonal isolate of oxaliplatin-resistant ovarian carcinoma cell line A2780/C10. Oncology Reports. 14(4). 925–32. 68 indexed citations
13.
Hector, Suzanne, Carl W. Porter, Debora L. Kramer, et al.. (2004). Polyamine catabolism in platinum drug action: Interactions between oxaliplatin and the polyamine analogue N1,N11-diethylnorspermine at the level of spermidine/spermine N1-acetyltransferase. Molecular Cancer Therapeutics. 3(7). 813–822. 46 indexed citations
14.
Bassett, Ekaterina, Miriam F. Bryant, Suzanne Hector, et al.. (2004). The Role of DNA Polymerase η in Translesion Synthesis Past Platinum–DNA Adducts in Human Fibroblasts. Cancer Research. 64(18). 6469–6475. 85 indexed citations
15.
Hector, Suzanne, et al.. (2001). In vitro studies on the mechanisms of oxaliplatin resistance. Cancer Chemotherapy and Pharmacology. 48(5). 398–406. 137 indexed citations
16.
Bergmark, William R., Suzanne Hector, Guilford Jones, et al.. (1997). Photoinduced electron transfer reactions of chloranil with small-ring hydrocarbons. Contrasting reactivities of radical cation intermediates. Journal of Photochemistry and Photobiology A Chemistry. 109(2). 119–124. 5 indexed citations

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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