Andrew P. Cuthbert

45 papers receiving 3.0k citations

Andrew P. Cuthbert's Hit Papers

Association between insertion mutation in NOD2 gene and Crohn's disease in German and British populations 2001 · 938 citations
9380+8+16Years since publication250500750

Peers

Andrew P. Cuthbert
Comparison fields: 5 of 112
  • Clinical Biochemistry 287
  • Genetics 1.2k
  • Immunology 598
  • Aging 50
  • Molecular Biology 1.2k
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Citations per year

Countries citing papers authored by Andrew P. Cuthbert

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Cuthbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Cuthbert. 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 Andrew P. Cuthbert. The network helps show where Andrew P. Cuthbert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association between insertion mutation in NOD2 gene and Crohn's disease in German and British populations
Hit paper breakdown →
2001938
2 2002587
3 1998534
4
Telomere length abnormalities in mammalian radiosensitive cells.
2001132
5 200397
6 200190
7 199567
8 200165
9 200159
10 199842
11
54th Annual Meeting of the American Society of Human Genetics
200438
12 199636
13
Human chromosome 16 suppresses metastasis but not tumorigenesis in rat prostatic tumor cells.
199835
14 201930
15 200529
16 200126
17 200325
18 200324
19
Functional evidence of novel tumor suppressor genes for cutaneous malignant melanoma.
199921
20 200518

About Andrew P. Cuthbert

Andrew P. Cuthbert is a scholar working on Oncology, Physiology, Genetics, Molecular Biology and Cancer Research, having authored 46 papers that have together received 3.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Inflammatory Bowel Disease (9 papers), Genomics and Chromatin Dynamics (6 papers), Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Clinical Biochemistry (287 citations), Genetics (1.2k citations), Immunology (598 citations), Aging (50 citations) and Molecular Biology (1.2k citations). Andrew P. Cuthbert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christopher George Mathew, Cathryn M. Lewis, Muddassar M. Mirza, Sheila A. Fisher, Stefan Schreiber, Jochen Hampe, Alastair Forbes, Kathy King, Robert F. Newbold and Peter J.P. Croucher. Their work appears in journals such as Oncogene, The American Journal of Human Genetics, Molecular Carcinogenesis, Proceedings of the National Academy of Sciences and Cytopathology.

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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