Diane Hatton

1.3k total citations
43 papers, 894 citations indexed

About

Diane Hatton is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Diane Hatton has authored 43 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Genetics. Recurrent topics in Diane Hatton's work include Viral Infectious Diseases and Gene Expression in Insects (33 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Virus-based gene therapy research (13 papers). Diane Hatton is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (33 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Virus-based gene therapy research (13 papers). Diane Hatton collaborates with scholars based in United Kingdom, United States and Sweden. Diane Hatton's co-authors include Ray Field, Michael Bevan, David C. James, Alan J. Dickson, Wolfgang Schuch, Caroline Smith, Robert Sablowski, Adam Brown, Gary Pettman and Olalekan Daramola and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Diane Hatton

41 papers receiving 858 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diane Hatton United Kingdom 17 776 192 186 129 98 43 894
Yee Jiun Kok Singapore 12 652 0.8× 153 0.8× 135 0.7× 37 0.3× 46 0.5× 23 806
Harry Wischnewski Switzerland 15 1.7k 2.2× 92 0.5× 173 0.9× 158 1.2× 94 1.0× 20 1.9k
Gilvan Pessoa Furtado Brazil 15 484 0.6× 73 0.4× 60 0.3× 105 0.8× 182 1.9× 28 714
Sau‐Ching Wu Canada 15 535 0.7× 139 0.7× 119 0.6× 149 1.2× 47 0.5× 21 748
Yong-Sam Kim South Korea 17 988 1.3× 89 0.5× 53 0.3× 167 1.3× 36 0.4× 43 1.1k
Natarajan Sethuraman United States 9 647 0.8× 65 0.3× 229 1.2× 33 0.3× 72 0.7× 11 735
Kelly Theriault United States 10 506 0.7× 128 0.7× 87 0.5× 65 0.5× 43 0.4× 12 831
Marlitt Stech Germany 15 630 0.8× 83 0.4× 252 1.4× 20 0.2× 76 0.8× 23 755
Xenia Mazur Switzerland 9 810 1.0× 399 2.1× 94 0.5× 30 0.2× 62 0.6× 9 869
Sarah L. Irons United Kingdom 11 539 0.7× 29 0.2× 96 0.5× 119 0.9× 67 0.7× 19 710

Countries citing papers authored by Diane Hatton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Diane Hatton

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Hatton. A scholar is included among the top collaborators of Diane Hatton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diane Hatton. Diane Hatton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grassi, Luigi, et al.. (2025). Next-generation sequencing: A powerful multi-purpose tool in cell line development for biologics production. Computational and Structural Biotechnology Journal. 27. 1511–1517. 1 indexed citations
2.
Zhang, Ye, et al.. (2025). Intensification of rAAV Production Based on HEK293 Cell Transient Transfection. Biotechnology Journal. 20(6). e70020–e70020.
3.
Harris, Claire, Rebecca E. Williams, Olalekan Daramola, et al.. (2023). CHO synthetic promoters improve expression and product quality of biotherapeutic proteins. Biotechnology Progress. 39(5). e3348–e3348. 2 indexed citations
4.
Goldrick, Stephen, Nicholas J. Bond, Diane Hatton, et al.. (2023). Next-generation cell line selection methodology leveraging data lakes, natural language generation and advanced data analytics. Frontiers in Bioengineering and Biotechnology. 11. 1160223–1160223. 2 indexed citations
5.
Handlogten, Michael W., Jie Zhu, Lina Li, et al.. (2023). Accelerated cell culture process development and characterization for cilgavimab/tixagevimab (AZD7442) for the prevention and treatment of COVID‐19. Biotechnology and Bioengineering. 122(9). 2308–2318. 3 indexed citations
6.
Delmar, Jared A., et al.. (2022). Monoclonal Antibody Sequence Variants Disguised as Fragments: Identification, Characterization, and Their Removal by Purification Process Optimization. Journal of Pharmaceutical Sciences. 111(11). 3009–3016. 4 indexed citations
7.
Malm, Magdalena, Chih‐Chung Kuo, Anna-Luisa Volk, et al.. (2022). Harnessing secretory pathway differences between HEK293 and CHO to rescue production of difficult to express proteins. Metabolic Engineering. 72. 171–187. 25 indexed citations
8.
Malm, Magdalena, Magnus Lundqvist, Marco Giudici, et al.. (2021). Author Correction: Evolution from adherent to suspension: systems biology of HEK293 cell line development. Scientific Reports. 11(1). 5407–5407. 4 indexed citations
9.
Malm, Magdalena, Magnus Lundqvist, Marco Giudici, et al.. (2020). Evolution from adherent to suspension: systems biology of HEK293 cell line development. Scientific Reports. 10(1). 18996–18996. 69 indexed citations
10.
Heffner, Kelley, Deniz Baycın Hızal, Natalia I. Majewska, et al.. (2020). Expanded Chinese hamster organ and cell line proteomics profiling reveals tissue-specific functionalities. Scientific Reports. 10(1). 15841–15841. 12 indexed citations
11.
Agarwal, Nitin, Rahul Pradhan, Allen D. Bosley, et al.. (2019). Kinetic modeling as a tool to understand the influence of cell culture process parameters on the glycation of monoclonal antibody biotherapeutics. Biotechnology Progress. 35(5). e2865–e2865. 6 indexed citations
13.
Brown, Adam, et al.. (2018). Whole synthetic pathway engineering of recombinant protein production. Biotechnology and Bioengineering. 116(2). 375–387. 19 indexed citations
14.
Hatton, Diane, et al.. (2018). Control of amino acid transport into Chinese hamster ovary cells. Biotechnology and Bioengineering. 115(12). 2908–2929. 12 indexed citations
15.
Brown, Adam, et al.. (2017). In silico design of context-responsive mammalian promoters with user-defined functionality. Nucleic Acids Research. 45(18). 10906–10919. 27 indexed citations
16.
Zhu, Jie & Diane Hatton. (2017). New Mammalian Expression Systems. Advances in biochemical engineering, biotechnology. 165. 9–50. 14 indexed citations
17.
Hatton, Diane, et al.. (2012). Determination of Chinese hamster ovary cell line stability and recombinant antibody expression during long‐term culture. Biotechnology and Bioengineering. 109(8). 2093–2103. 95 indexed citations
18.
Gao, Tong, et al.. (2005). A Cysteine-Rich Extracellular Protein Containing a PA14 Domain Mediates Quorum Sensing in Dictyostelium discoideum. Eukaryotic Cell. 4(6). 991–998. 20 indexed citations
19.
Hatton, Diane & John C. Gray. (1999). Two MAR DNA‐binding proteins of the pea nuclear matrix identify a new class of DNA‐binding proteins. The Plant Journal. 18(4). 417–429. 26 indexed citations
20.
Hatton, Diane, et al.. (1995). Two classes of cis sequences contribute to tissue‐specific expression of a PAL2 promoter in transgenic tobacco. The Plant Journal. 7(6). 859–876. 140 indexed citations

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.

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