Peter D. Craggs
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
Papers in
-
- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 3
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Rab K. Prinjha (6 shared papers)Chun‐wa Chung (6 shared papers)Laurie Gordon (6 shared papers)Paul Bamborough (4 shared papers)Paola Grandi (3 shared papers)Anne‐Marie Michon (3 shared papers)Luiz Pedro S. de Carvalho (2 shared papers)Nigel J. Parr (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)SLAS DISCOVERY (2 papers)ACS Medicinal Chemistry Letters (2 papers)Cell chemical biology (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Peter D. Craggs
17 papers receiving 433 citations
Peers
Comparison fields: 5 of 55
- Hematology 124
- Molecular Biology 370
- Oncology 70
- Neurology 36
- Molecular Medicine 10
Countries citing papers authored by Peter D. Craggs
This map shows the geographic impact of Peter D. Craggs'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 D. Craggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Craggs more than expected).
Fields of papers citing papers by Peter D. Craggs
This network shows the impact of papers produced by Peter D. Craggs. 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 D. Craggs. The network helps show where Peter D. Craggs may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Craggs, 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 | 2013 | 151 | |
| 2 | 2016 | 70 | |
| 3 | 2014 | 68 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 27 | |
| 6 | 2013 | 23 | |
| 7 | 2018 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 |
About Peter D. Craggs
Peter D. Craggs is a scholar working on Molecular Biology, Hematology, Immunology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Multiple Myeloma Research and Treatments (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (2 papers), Asthma and respiratory diseases (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (124 citations), Molecular Biology (370 citations), Oncology (70 citations), Neurology (36 citations) and Molecular Medicine (10 citations). Peter D. Craggs has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Rab K. Prinjha, Chun‐wa Chung, Laurie Gordon, Paul Bamborough, Paola Grandi, Anne‐Marie Michon, Luiz Pedro S. de Carvalho, Nigel J. Parr, Charles F. McHugh and Michael T. McCabe. Their work appears in journals such as Journal of Medicinal Chemistry, SLAS DISCOVERY, ACS Medicinal Chemistry Letters, Cell chemical biology and Nature Communications.
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.