Sara Johnson
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Nicotinic Acetylcholine Receptors Study 2
- Single-cell and spatial transcriptomics 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Karen A. Bollan (2 shared papers)Haiyan Tang (2 shared papers)Christopher N. Connolly (2 shared papers)Tim G. Hales (2 shared papers)Aixin Cheng (1 shared paper)Neil McDonald (1 shared paper)M.R. Perrin (1 shared paper)Alan B. Anderson (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)African Journal of Wildlife Research (1 paper)Epidemiology and Infection (1 paper)Development (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Sara Johnson
14 papers receiving 230 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 82
- Endocrinology 9
- Molecular Biology 119
- Chemical Health and Safety 1
- Psychiatry and Mental health 22
Countries citing papers authored by Sara Johnson
This map shows the geographic impact of Sara Johnson'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 Sara Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Johnson more than expected).
Fields of papers citing papers by Sara Johnson
This network shows the impact of papers produced by Sara Johnson. 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 Sara Johnson. The network helps show where Sara Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Johnson, 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 | 2005 | 57 | |
| 2 | 2006 | 34 | |
| 3 | 2021 | 33 | |
| 4 | 2010 | 20 | |
| 5 | 2017 | 19 | |
| 6 | 2014 | 15 | |
| 7 | The effect of supplemental food and cover availability on a population of the striped mouse | 1999 | 14 |
| 8 | 2011 | 10 | |
| 9 | 2011 | 10 | |
| 10 | 2021 | 6 | |
| 11 | 2012 | 6 | |
| 12 | Left ventricular hypertrophy may be transient in the emergency department. | 2009 | 3 |
| 13 | 2015 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 0 |
About Sara Johnson
Sara Johnson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 232 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper), Cell Image Analysis Techniques (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (82 citations), Endocrinology (9 citations), Molecular Biology (119 citations), Chemical Health and Safety (1 citation) and Psychiatry and Mental health (22 citations). Sara Johnson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Karen A. Bollan, Haiyan Tang, Christopher N. Connolly, Tim G. Hales, Aixin Cheng, Neil McDonald, M.R. Perrin, Alan B. Anderson, Tonny J. Oyana and Guangxing Wang. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, African Journal of Wildlife Research, Epidemiology and Infection and Development.
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.