Christopher J. Hewitt
- Genetics top 1%
- Mesenchymal stem cell research 17
- Bacterial Genetics and Biotechnology 10
- Biomaterials top 2%
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 23
- Innovative Microfluidic and Catalytic Techniques Innovation 14
- Endocrinology top 2%
- Biotechnology top 2%
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- Viral Infectious Diseases and Gene Expression in Insects 28
- Microbial Metabolic Engineering and Bioproduction 16
- Pluripotent Stem Cells Research 12
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- Tissue Engineering and Regenerative Medicine 14
- Co-authors
- Alvin W. NienowKaren CoopmanGerhard Nebe‐von‐CaronQasim A. RafiqThomas R.J. HeathmanCaroline M. McFarlaneBo KaraJonathan R. Powell
- Journals
- Biotechnology Advances (1 paper)International Journal of Pharmaceutics (1 paper)Biotechnology and Bioengineering (14 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Christopher J. Hewitt
97 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 157
- Genetics 664
- Biomaterials 512
- Biomedical Engineering 1.7k
- Endocrinology 173
- Biotechnology 255
Countries citing papers authored by Christopher J. Hewitt
This map shows the geographic impact of Christopher J. Hewitt'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 Christopher J. Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Hewitt more than expected).
Fields of papers citing papers by Christopher J. Hewitt
This network shows the impact of papers produced by Christopher J. Hewitt. 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 Christopher J. Hewitt. The network helps show where Christopher J. Hewitt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher J. Hewitt, 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 | 2026 | 0 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 13 | |
| 5 | 2019 | 75 | |
| 6 | 2018 | 21 | |
| 7 | 2016 | 13 | |
| 8 | 2013 | 18 | |
| 9 | 2012 | 2 | |
| 10 | 2010 | 0 | |
| 11 | 2009 | 7 | |
| 12 | 2008 | 37 | |
| 13 | 2005 | 3 | |
| 14 | 2005 | 22 | |
| 15 | 2004 | 7 | |
| 16 | 2003 | 53 | |
| 17 | 2001 | 114 | |
| 18 | 2000 | 358 | |
| 19 | 1999 | 81 | |
| 20 | 1998 | 56 |
About Christopher J. Hewitt
Christopher J. Hewitt is a scholar working on Genetics, Biomedical Engineering and Biotechnology, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (28 papers), 3D Printing in Biomedical Research (23 papers), Mesenchymal stem cell research (17 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Innovative Microfluidic and Catalytic Techniques Innovation (14 papers), Tissue Engineering and Regenerative Medicine (14 papers), Pluripotent Stem Cells Research (12 papers) and Bacterial Genetics and Biotechnology (10 papers). The work is most often cited by research in Genetics (664 citations), Biomaterials (512 citations) and Biomedical Engineering (1.7k citations). Christopher J. Hewitt has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Alvin W. Nienow, Karen Coopman, Gerhard Nebe‐von‐Caron, Qasim A. Rafiq, Thomas R.J. Heathman, Caroline M. McFarlane, Bo Kara, Jonathan R. Powell, P. Stephens and R.A. Badley. Their work appears in journals such as Biotechnology Advances, International Journal of Pharmaceutics and Biotechnology and Bioengineering.
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.