Peter J. Noy
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- RNA Interference and Gene Delivery 2
- Cancer-related gene regulation 2
-
- Cell Adhesion Molecules Research 8
- Co-authors
- Michael G. Tomlinson (7 shared papers)Alexandra Matthews (4 shared papers)Jasmeet S. 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)Oncogene (2 papers)The FASEB Journal (2 papers)Platelets (2 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Peter J. Noy
17 papers receiving 635 citations
Peers
Comparison fields: 5 of 76
- Immunology and Allergy 162
- Hematology 76
- Cancer Research 94
- Cell Biology 89
- Molecular Biology 373
Countries citing papers authored by Peter J. Noy
This map shows the geographic impact of Peter J. 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 J. 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 J. Noy more than expected).
Fields of papers citing papers by Peter J. Noy
This network shows the impact of papers produced by Peter J. 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 J. Noy. The network helps show where Peter J. Noy may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 103 | |
| 2 | 2015 | 78 | |
| 3 | 2017 | 58 | |
| 4 | 2017 | 54 | |
| 5 | 2014 | 49 | |
| 6 | 2015 | 45 | |
| 7 | 2017 | 37 | |
| 8 | 2010 | 35 | |
| 9 | 2009 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2012 | 27 | |
| 13 | 2016 | 26 | |
| 14 | 2008 | 24 | |
| 15 | 2012 | 12 | |
| 16 | 2010 | 5 | |
| 17 | 2017 | 2 |
About Peter J. Noy
Peter J. Noy is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Hematology and Cancer Research, having authored 17 papers that have together received 644 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Angiogenesis and VEGF in Cancer (5 papers), RNA Interference and Gene Delivery (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (162 citations), Hematology (76 citations), Cancer Research (94 citations), Cell Biology (89 citations) and Molecular Biology (373 citations). Peter J. Noy has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael G. Tomlinson, Alexandra Matthews, Jasmeet S. Reyat, Kevin Gaston, Padma-Sheela Jayaraman, Roy Bicknell, Kabir A. Khan, Hannah Williams, Andrea Bacon and Jing Yang. Their work appears in journals such as Nucleic Acids Research, Oncogene, The FASEB Journal, Platelets and Molecular and Cellular Biology.
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.