Peter John Noy
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
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- Cell Adhesion Molecules Research 9
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- Platelet Disorders and Treatments 2
- Acute Myeloid Leukemia Research 2
- Co-authors
- Michael G. Tomlinson (7 shared papers)Alexandra L. Matthews (4 shared papers)Jasmeet Singh Reyat (4 shared papers)Kevin Gaston (6 shared papers)Padma-Sheela Jayaraman (5 shared papers)Roy Bicknell (4 shared papers)Kabir A. Khan (3 shared papers)Hannah Williams (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)The FASEB Journal (2 papers)Journal of Biological Chemistry (2 papers)Platelets (2 papers)Oncogene (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Peter John Noy
25 papers receiving 903 citations
Peers
Comparison fields: 5 of 92
- Immunology and Allergy 192
- Hematology 92
- Cancer Research 115
- Molecular Biology 505
- Cell Biology 107
Countries citing papers authored by Peter John Noy
This map shows the geographic impact of Peter John Noy'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 Peter John Noy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter John Noy more than expected).
Fields of papers citing papers by Peter John Noy
This network shows the impact of papers produced by Peter John Noy. 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 Peter John Noy. The network helps show where Peter John Noy may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter John Noy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 126 | |
| 2 | 2016 | 106 | |
| 3 | 2015 | 84 | |
| 4 | 2017 | 62 | |
| 5 | 2017 | 58 | |
| 6 | 2017 | 57 | |
| 7 | 2014 | 51 | |
| 8 | 2015 | 46 | |
| 9 | 2017 | 38 | |
| 10 | 2010 | 34 | |
| 11 | 2009 | 32 | |
| 12 | 2020 | 32 | |
| 13 | 2016 | 32 | |
| 14 | 2018 | 31 | |
| 15 | 2016 | 28 | |
| 16 | 2012 | 26 | |
| 17 | 2008 | 24 | |
| 18 | 2018 | 18 | |
| 19 | 2012 | 12 | |
| 20 | 2010 | 6 |
About Peter John Noy
Peter John Noy is a scholar working on Immunology and Allergy, Hematology, Cell Biology, Molecular Biology and Cancer Research, having authored 26 papers that have together received 915 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Angiogenesis and VEGF in Cancer (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Protease and Inhibitor Mechanisms (2 papers), Cancer-related gene regulation (2 papers), Platelet Disorders and Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Immunology and Allergy (192 citations), Hematology (92 citations), Cancer Research (115 citations), Molecular Biology (505 citations) and Cell Biology (107 citations). Peter John Noy has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael G. Tomlinson, Alexandra L. Matthews, Jasmeet Singh Reyat, Kevin Gaston, Padma-Sheela Jayaraman, Roy Bicknell, Kabir A. Khan, Hannah Williams, Jing Yang and Andrea Bacon. Their work appears in journals such as Nucleic Acids Research, The FASEB Journal, Journal of Biological Chemistry, Platelets and Oncogene.
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.