Hannah J. Maple
Impact in
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- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Multiple Myeloma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 8
- Histone Deacetylase Inhibitors Research 5
- Ubiquitin and proteasome pathways 5
- RNA and protein synthesis mechanisms 2
- Biochemical and Molecular Research 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Robert Felix (4 shared papers)Matthew P. Crump (4 shared papers)Richard J. Taylor (3 shared papers)Rachel A. Garlish (3 shared papers)John Crosby (3 shared papers)Ian Whitcombe (2 shared papers)Alistair J. Henry (1 shared paper)Jeffrey C. Kennedy (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Organic & Biomolecular Chemistry (2 papers)Biochemistry (2 papers)RSC Advances (1 paper)Oncogenesis (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Hannah J. Maple
19 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Spectroscopy 67
- Hematology 42
- Molecular Biology 213
- Computational Theory and Mathematics 38
- Oncology 57
Countries citing papers authored by Hannah J. Maple
This map shows the geographic impact of Hannah J. Maple'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 Hannah J. Maple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah J. Maple more than expected).
Fields of papers citing papers by Hannah J. Maple
This network shows the impact of papers produced by Hannah J. Maple. 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 Hannah J. Maple. The network helps show where Hannah J. Maple may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah J. Maple, 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 | 2019 | 108 | |
| 2 | 2011 | 62 | |
| 3 | 2022 | 26 | |
| 4 | 2014 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2011 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2014 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2013 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 |
About Hannah J. Maple
Hannah J. Maple is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Oncology, having authored 19 papers that have together received 304 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (5 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (4 papers), Microbial Natural Products and Biosynthesis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Spectroscopy (67 citations), Hematology (42 citations), Molecular Biology (213 citations), Computational Theory and Mathematics (38 citations) and Oncology (57 citations). Hannah J. Maple has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert Felix, Matthew P. Crump, Richard J. Taylor, Rachel A. Garlish, John Crosby, Ian Whitcombe, Alistair J. Henry, Jeffrey C. Kennedy, John Porter and Mark S. Cooper. Their work appears in journals such as Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, Biochemistry, RSC Advances and Oncogenesis.
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.