Hannah T. Baddock
Impact in
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- Mitochondrial Function and Pathology
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- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
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- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 3
- Advanced biosensing and bioanalysis techniques 1
- Oncology 6
- PARP inhibition in cancer therapy 3
- Co-authors
- Peter J. McHugh (8 shared papers)O. Gileadi (6 shared papers)Christopher J. Schofield (6 shared papers)Y. Yosaatmadja (5 shared papers)Ronan Broderick (1 shared paper)Jadwiga Nieminuszczy (1 shared paper)Rajashree A. Deshpande (1 shared paper)Tanya T. Paull (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Chemical Science (2 papers)Nature Communications (2 papers)Journal of the American Chemical Society (1 paper)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Hannah T. Baddock
10 papers receiving 203 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 153
- Infectious Diseases 41
- Oncology 54
- Aging 2
- Cancer Research 14
Countries citing papers authored by Hannah T. Baddock
This map shows the geographic impact of Hannah T. Baddock'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 T. Baddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah T. Baddock more than expected).
Fields of papers citing papers by Hannah T. Baddock
This network shows the impact of papers produced by Hannah T. Baddock. 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 T. Baddock. The network helps show where Hannah T. Baddock may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah T. Baddock, 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 | 60 | |
| 2 | 2021 | 41 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 22 | |
| 5 | 2024 | 20 | |
| 6 | 2019 | 16 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
About Hannah T. Baddock
Hannah T. Baddock is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 204 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), PARP inhibition in cancer therapy (3 papers), CRISPR and Genetic Engineering (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cervical Cancer and HPV Research (2 papers), HIV/AIDS drug development and treatment (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Molecular Biology (153 citations), Infectious Diseases (41 citations), Oncology (54 citations), Aging (2 citations) and Cancer Research (14 citations). Hannah T. Baddock has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Peter J. McHugh, O. Gileadi, Christopher J. Schofield, Y. Yosaatmadja, Ronan Broderick, Jadwiga Nieminuszczy, Rajashree A. Deshpande, Tanya T. Paull, Wojciech Niedźwiedź and J.A. Newman. Their work appears in journals such as Nucleic Acids Research, Chemical Science, Nature Communications, Journal of the American Chemical Society and Organic & Biomolecular Chemistry.
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.