Nigel Peat

3.4k citations
8 papers · 1.5k · 1 hit paper · h-index 7

Impact in

Papers in

Nigel Peat

8 papers receiving 1.5k citations

Nigel Peat's Hit Papers

Molecular cloning and expression of human tumor-associated polymorphic epithelial mucin. 1990 · 891 citations
8910+12+24Years since publication250500750

Peers

Nigel Peat
Comparison fields: 5 of 69
  • Immunology 527
  • Radiology, Nuclear Medicine and Imaging 426
  • Molecular Biology 1.2k
  • Organic Chemistry 300
  • Oncology 225
Replace F Buijs with:
F Buijs Netherlands
Miyako Abe United States
Pei‐Xiang Xing Australia
Els C.M. Brinkman-Van der Linden United States
Martin Dalziel United Kingdom
Trevor Duhig United Kingdom
Yasuo Fukushi Japan
Valery Kudryashov United States
Rosalind Graham United Kingdom
Mads A. Tarp Denmark
Nigel Peat relative to F Buijs Netherlands F Buijs's profile →
Citations per field
00.5×
F Buijs · 1×
Citations per year

Countries citing papers authored by Nigel Peat

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Peat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Nigel Peat, 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 Nigel Peat Line = papers co-authored together Nigel Peat links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Molecular cloning and expression of human tumor-associated polymorphic epithelial mucin.
Hit paper breakdown →
1990891
2 1991178
3 1990136
4
Tissue-specific expression of a human polymorphic epithelial mucin (MUC1) in transgenic mice.
1992128
5 1993114
6 199657
7 199734
8 19951

About Nigel Peat

Nigel Peat is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), DNA and Nucleic Acid Chemistry (2 papers), Genomics and Chromatin Dynamics (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Galectins and Cancer Biology (1 paper), Plant Gene Expression Analysis (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Immunology (527 citations), Radiology, Nuclear Medicine and Imaging (426 citations), Molecular Biology (1.2k citations), Organic Chemistry (300 citations) and Oncology (225 citations). Nigel Peat has collaborated with scholars based in United Kingdom. Frequent co-authors include Sandra Gendler, Trevor Duhig, Joyce Taylor‐Papadimitriou, David B. Wilson, El–Nasir Lalani, Joy Burchell, Lucy F. Pemberton, J Taylor-Papadimitriou, Andrew P. Spicer and Martina Boshell. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The EMBO Journal, PubMed and American Review of Respiratory Disease.

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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