Nigel Peat
Impact in
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Genomics and Chromatin Dynamics 3
- Fungal and yeast genetics research 2
-
- Immunotherapy and Immune Responses 3
- Co-authors
- Sandra J Gendler (5 shared papers)Joyce Taylor‐Papadimitriou (6 shared papers)Trevor Duhig (4 shared papers)El–Nasir Lalani (3 shared papers)David Brown Wilson (3 shared papers)Joy Burchell (3 shared papers)Lucy F. Pemberton (2 shared papers)J Taylor-Papadimitriou (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (1 paper)Nature (1 paper)The EMBO Journal (1 paper)eCommons - AKU (Aga Khan University) (1 paper)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
Nigel Peat
10 papers receiving 2.7k citations
Nigel Peat's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.9k
- Immunology 276
- Cell Biology 161
- Aging 12
- Oncology 162
Countries citing papers authored by Nigel Peat
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The genome sequence of Schizosaccharomyces pombe Hit paper breakdown → | 2002 | 1309 |
| 2 | Molecular cloning and expression of human tumor-associated polymorphic epithelial mucin. Hit paper breakdown → | 1990 | 887 |
| 3 | 1991 | 181 | |
| 4 | 1990 | 133 | |
| 5 | Tissue-specific expression of a human polymorphic epithelial mucin (MUC1) in transgenic mice. | 1992 | 131 |
| 6 | 1993 | 114 | |
| 7 | 1996 | 57 | |
| 8 | 1997 | 35 | |
| 9 | Tissue-specific expression of a human Polymorphic Epithelial mucin (MUCI) in transgenic mice | 1992 | 2 |
| 10 | 1995 | 1 |
About Nigel Peat
Nigel Peat is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Cell Biology and Nuclear Energy and Engineering, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Immunotherapy and Immune Responses (3 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (2 papers), Microtubule and mitosis dynamics (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Immunology (276 citations), Cell Biology (161 citations), Aging (12 citations) and Oncology (162 citations). Nigel Peat has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Sandra J Gendler, Joyce Taylor‐Papadimitriou, Trevor Duhig, El–Nasir Lalani, David Brown Wilson, Joy Burchell, Lucy F. Pemberton, J Taylor-Papadimitriou, Martina Boshell and Andrew P. Spicer. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Nature, The EMBO Journal and eCommons - AKU (Aga Khan University).
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.