H. Aitkenhead
Impact in
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- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cancer therapeutics and mechanisms
- DNA and Nucleic Acid Chemistry
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- Cancer-related Molecular Pathways
Papers in
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- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
- Protein Degradation and Inhibitors 2
- Oncology 3
- Co-authors
- O. Gileadi (9 shared papers)J.A. Newman (9 shared papers)C.D.O. Cooper (4 shared papers)Lori Buetow (1 shared paper)Nahoum G. Anthony (1 shared paper)Mads Gabrielsen (1 shared paper)Brian O. Smith (1 shared paper)Gary Sibbet (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Structure (3 papers)Molecular Cell (2 papers)Viruses (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
H. Aitkenhead
13 papers receiving 540 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 485
- Oncology 136
- Cell Biology 65
- Cancer Research 53
- Immunology 39
Countries citing papers authored by H. Aitkenhead
This map shows the geographic impact of H. Aitkenhead'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 H. Aitkenhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Aitkenhead more than expected).
Fields of papers citing papers by H. Aitkenhead
This network shows the impact of papers produced by H. Aitkenhead. 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 H. Aitkenhead. The network helps show where H. Aitkenhead may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Aitkenhead, 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 | 194 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 79 | |
| 4 | 2015 | 40 | |
| 5 | 2016 | 30 | |
| 6 | 2019 | 25 | |
| 7 | 2017 | 25 | |
| 8 | 2019 | 20 | |
| 9 | 2015 | 13 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 |
About H. Aitkenhead
H. Aitkenhead is a scholar working on Molecular Biology, Oncology, Agronomy and Crop Science, Genetics and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 547 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Animal Disease Management and Epidemiology (3 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Viral Infections and Immunology Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Molecular Biology (485 citations), Oncology (136 citations), Cell Biology (65 citations), Cancer Research (53 citations) and Immunology (39 citations). H. Aitkenhead has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include O. Gileadi, J.A. Newman, C.D.O. Cooper, Lori Buetow, Nahoum G. Anthony, Mads Gabrielsen, Brian O. Smith, Gary Sibbet, Danny T. Huang and Hao Dou. Their work appears in journals such as Journal of Biological Chemistry, Structure, Molecular Cell, Viruses 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.