Diane Hatton
Impact in
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects
- Protein purification and stability
- CRISPR and Genetic Engineering
- Plant Gene Expression Analysis
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 33
- Protein purification and stability 12
- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 5
-
- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Ray Field (10 shared papers)Michael Bevan (2 shared papers)David C. James (7 shared papers)Alan J. Dickson (1 shared paper)Robert Sablowski (1 shared paper)Wolfgang Schuch (1 shared paper)Caroline Smith (1 shared paper)Adam Brown (6 shared papers)
- Journals
- Biotechnology and Bioengineering (7 papers)mAbs (4 papers)Scientific Reports (3 papers)Biotechnology Progress (3 papers)Biotechnology Journal (3 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Diane Hatton
41 papers receiving 858 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 776
- Biotechnology 87
- Radiology, Nuclear Medicine and Imaging 186
- Genetics 192
- Plant Science 129
Countries citing papers authored by Diane Hatton
This map shows the geographic impact of Diane Hatton'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 Diane Hatton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Hatton more than expected).
Fields of papers citing papers by Diane Hatton
This network shows the impact of papers produced by Diane Hatton. 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 Diane Hatton. The network helps show where Diane Hatton may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Hatton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 140 | |
| 2 | 2012 | 95 | |
| 3 | 2013 | 95 | |
| 4 | 2020 | 69 | |
| 5 | 2020 | 36 | |
| 6 | 2009 | 34 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 27 | |
| 9 | 1999 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2020 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2005 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 1996 | 14 | |
| 20 | 2017 | 14 |
About Diane Hatton
Diane Hatton is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Biotechnology and Oncology, having authored 43 papers that have together received 894 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (33 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Virus-based gene therapy research (13 papers), Protein purification and stability (12 papers), CRISPR and Genetic Engineering (7 papers), Transgenic Plants and Applications (6 papers), RNA and protein synthesis mechanisms (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Molecular Biology (776 citations), Biotechnology (87 citations), Radiology, Nuclear Medicine and Imaging (186 citations), Genetics (192 citations) and Plant Science (129 citations). Diane Hatton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Ray Field, Michael Bevan, David C. James, Alan J. Dickson, Robert Sablowski, Wolfgang Schuch, Caroline Smith, Adam Brown, Gary Pettman and Olalekan Daramola. Their work appears in journals such as Biotechnology and Bioengineering, mAbs, Scientific Reports, Biotechnology Progress and Biotechnology Journal.
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.