Hannah J. Maple
Impact in
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- Multiple Myeloma Research and Treatments
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- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
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- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 5
- Histone Deacetylase Inhibitors Research 5
- RNA and protein synthesis mechanisms 2
- Plant biochemistry and biosynthesis 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Robert Felix (4 shared papers)Anne Baron (1 shared paper)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)John Porter (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Organic & Biomolecular Chemistry (2 papers)Biochemistry (2 papers)Nature Communications (1 paper)Helvetica Chimica Acta (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Hannah J. Maple
19 papers receiving 314 citations
Peers
Comparison fields: 5 of 54
- Hematology 43
- Spectroscopy 67
- Molecular Biology 217
- Oncology 56
- Computational Theory and Mathematics 35
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 | 116 | |
| 2 | 2011 | 62 | |
| 3 | 2022 | 27 | |
| 4 | 2014 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2011 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2014 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2025 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 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 319 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Plant biochemistry and biosynthesis (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hematology (43 citations), Spectroscopy (67 citations), Molecular Biology (217 citations), Oncology (56 citations) and Computational Theory and Mathematics (35 citations). Hannah J. Maple has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert Felix, Anne Baron, Matthew P. Crump, Richard J. Taylor, Rachel A. Garlish, John Crosby, Ian Whitcombe, John Porter, Jeffrey C. Kennedy and Alistair J. Henry. Their work appears in journals such as Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, Biochemistry, Nature Communications and Helvetica Chimica Acta.
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.