Steven Goodison

995 citations
17 papers · 649 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • Glycosylation and Glycoproteins Research
    • Molecular Biology Techniques and Applications
    • Gene expression and cancer classification

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Molecular Biology Techniques and Applications 2
    • Proteoglycans and glycosaminoglycans research 6

Steven Goodison

17 papers receiving 634 citations

Peers

Steven Goodison
Comparison fields: 5 of 90
  • Cancer Research 126
  • Molecular Biology 446
  • Spectroscopy 83
  • Immunology and Allergy 29
  • Cell Biology 71
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Citations per field
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Citations per year

Countries citing papers authored by Steven Goodison

Since Specialization
Citations

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

Fields of papers citing papers by Steven Goodison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2004147
2 2011124
3 201197
4
Analysis of anomalous CD44 gene expression in human breast, bladder, and colon cancer and correlation of observed mRNA and protein isoforms.
199678
5 201151
6 201241
7 199826
8 201321
9
Differential effects of retinoic acid on the growth of isogenic metastatic and non-metastatic breast cancer cell lines and their association with distinct expression of retinoic acid receptor beta isoforms 2 and 4.
200321
10 202010
11 19969
12 19988
13 20237
14 19996
15 19961
16 20151
17 20101

About Steven Goodison

Steven Goodison is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Cancer Research, having authored 17 papers that have together received 649 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Cancer, Lipids, and Metabolism (2 papers), Molecular Biology Techniques and Applications (2 papers), Prostate Cancer Treatment and Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetic factors in colorectal cancer (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (446 citations), Spectroscopy (83 citations), Immunology and Allergy (29 citations) and Cell Biology (71 citations). Steven Goodison has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Charles J. Rosser, Umesh T. Sankpal, Riyaz Basha, Maen Abdelrahim, David G. Jackson, Kazuhiro Yoshida, Virginia Urquidi, David M. Lubman, Xiaolei Xie and Yashu Liu. Their work appears in journals such as Molecular Diagnosis, Clinical Cancer Research, Cancer Prevention Research, Cellular Physiology and Biochemistry and Cancer Research.

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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