Scott Cuthill

1.7k citations
29 papers · 1.4k indexed · h-index 18

Scott Cuthill

29 papers receiving 1.4k citations

Peers

Scott Cuthill
Comparison fields: 5 of 80
  • Health, Toxicology and Mutagenesis 387
  • Cancer Research 412
  • Molecular Biology 721
  • Oncology 280
  • Pharmacology 87
Replace Brian T. Pentecost with:
Brian T. Pentecost United States
Suresh Mohla United States
Chad Deisenroth United States
Frank Dolbeare United States
Benjamin S. Leung United States
Mark E. Costlow United States
Daishiro Miura Japan
Winnie Eskild Norway
Eppo Mulder Netherlands
Rhoderick H. Elder United Kingdom
Scott Cuthill relative to Brian T. Pentecost United States Brian T. Pentecost's profile →
Citations per field
00.5×1.5×1.9×
Brian T. Pentecost · 1×
Citations per year

Countries citing papers authored by Scott Cuthill

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cuthill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201196
2 20067
3 200020
4 200073
5 199945
6
A molecular genetic model of human bladder cancer pathogenesis.
1996106
7 199538
8 19941
9 19945
10 199318
11 19916
12 1990174
13 199046
14 19892
15 19896
16 1989103
17 198812
18 19885
19 1988192
20 198823

About Scott Cuthill

Scott Cuthill is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Transplantation, Behavioral Neuroscience and Oncology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (11 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Carcinogens and Genotoxicity Assessment (7 papers), Cervical Cancer and HPV Research (5 papers), Estrogen and related hormone effects (5 papers), Cancer-related Molecular Pathways (4 papers), T-cell and Retrovirus Studies (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (387 citations), Cancer Research (412 citations), Molecular Biology (721 citations), Oncology (280 citations) and Pharmacology (87 citations). Scott Cuthill has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Lorenz Poellinger, Marc G. Denis, A. Wilhelmsson, Ann–Charlotte Wikström, Jan‐Åke Gustafsson, Jan-Ακε Gustafsson, J.-Å. Gustafsson, Janet P. Hapgood, Arne Wikström and Catherine A. Reznikoff. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Genes Chromosomes and Cancer.

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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