Natalie R. Johnston
- Molecular Biology
- Genetics top 5%
- Surgery top 10%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Guy A. RutterDavid J. HodsonJohannes C.M. van der LooDmitry KuzminElaine JohnstoneMaria V. ShutovaOwen SmithJohannes Broichhagen
- Topics
- Photoreceptor and optogenetics research (7 papers)Photochromic and Fluorescence Chemistry (6 papers)Receptor Mechanisms and Signaling (3 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Natalie R. Johnston
13 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 548
- Genetics 420
- Surgery 367
- Cellular and Molecular Neuroscience 262
- Endocrinology, Diabetes and Metabolism 195
Countries citing papers authored by Natalie R. Johnston
This map shows the geographic impact of Natalie R. Johnston'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 Natalie R. Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie R. Johnston more than expected).
Fields of papers citing papers by Natalie R. Johnston
This network shows the impact of papers produced by Natalie R. Johnston. 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 Natalie R. Johnston. The network helps show where Natalie R. Johnston may publish in the future.
Co-authorship network of co-authors of Natalie R. Johnston
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie R. Johnston. A scholar is included among the top collaborators of Natalie R. Johnston 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 Natalie R. Johnston. Natalie R. Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | The clinical landscape for AAV gene therapiesbreakdown → | 355 |
| 4 | 11 | |
| 5 | 37 | |
| 6 | Beta Cell Hubs Dictate Pancreatic Islet Responses to Glucosebreakdown → | 324 |
| 7 | 10 | |
| 8 | 50 | |
| 9 | 12 | |
| 10 | 84 | |
| 11 | 50 | |
| 12 | 0 | |
| 13 | 55 | |
| 14 | 40 |
About Natalie R. Johnston
Natalie R. Johnston is a scholar working on Cellular and Molecular Neuroscience, Rehabilitation and Materials Chemistry, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (7 papers), Photochromic and Fluorescence Chemistry (6 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Genetics (420 citations), Cellular and Molecular Neuroscience (262 citations) and Endocrinology, Diabetes and Metabolism (195 citations). Natalie R. Johnston has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Guy A. Rutter, David J. Hodson, Johannes C.M. van der Loo, Dmitry Kuzmin, Elaine Johnstone, Maria V. Shutova, Owen Smith, Johannes Broichhagen, Dirk Trauner and Marco Bugliani. Their work appears in journals such as Angewandte Chemie International Edition, Nature Reviews Drug Discovery and Cell Metabolism.
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.