Gemma E. Newby
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
-
- Photoreceptor and optogenetics research
Papers in
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- Block Copolymer Self-Assembly 7
- Enzyme Structure and Function 3
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- Photochemistry and Electron Transfer Studies 4
- Co-authors
- Ian William Hamley (10 shared papers)Valeria Castelletto (7 shared papers)Laurence Noirez (4 shared papers)Nicholas J. Terrill (3 shared papers)Michaël Wulff (7 shared papers)Christopher M. Martin (1 shared paper)Stephen M. King (1 shared paper)Dmitry Khakhulin (6 shared papers)
- Journals
- Langmuir (4 papers)Soft Matter (2 papers)Chemical Communications (2 papers)Polymer Chemistry (2 papers)Biomacromolecules (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Gemma E. Newby
26 papers receiving 799 citations
Peers
Comparison fields: 5 of 57
- Biomaterials 223
- Cellular and Molecular Neuroscience 122
- Radiation 64
- Physical and Theoretical Chemistry 61
- Organic Chemistry 120
Countries citing papers authored by Gemma E. Newby
This map shows the geographic impact of Gemma E. Newby'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 Gemma E. Newby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma E. Newby more than expected).
Fields of papers citing papers by Gemma E. Newby
This network shows the impact of papers produced by Gemma E. Newby. 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 Gemma E. Newby. The network helps show where Gemma E. Newby may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma E. Newby, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 124 | |
| 2 | 2016 | 101 | |
| 3 | 2008 | 69 | |
| 4 | 2017 | 61 | |
| 5 | 2010 | 56 | |
| 6 | 2017 | 56 | |
| 7 | 2016 | 47 | |
| 8 | 2011 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2017 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2010 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2015 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2019 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2022 | 7 |
About Gemma E. Newby
Gemma E. Newby is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Biomaterials, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 27 papers that have together received 807 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (7 papers), Supramolecular Self-Assembly in Materials (4 papers), Photochemistry and Electron Transfer Studies (4 papers), Surfactants and Colloidal Systems (4 papers), Photoreceptor and optogenetics research (3 papers), Liquid Crystal Research Advancements (3 papers), Enzyme Structure and Function (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Biomaterials (223 citations), Cellular and Molecular Neuroscience (122 citations), Radiation (64 citations), Physical and Theoretical Chemistry (61 citations) and Organic Chemistry (120 citations). Gemma E. Newby has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Ian William Hamley, Valeria Castelletto, Laurence Noirez, Nicholas J. Terrill, Michaël Wulff, Christopher M. Martin, Stephen M. King, Dmitry Khakhulin, Matthijs R. Panman and Andreas Menzel. Their work appears in journals such as Langmuir, Soft Matter, Chemical Communications, Polymer Chemistry and Biomacromolecules.
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.