Charlotte Nelson
- Molecular Biology top 10%
- Physiology
- Infectious Diseases top 10%
- Biological Psychiatry top 5%
- Gastroenterology top 5%
- Co-authors
- Sergio E. BaranziniEgle CekanaviciutePatrizia CasacciaTessel F. RuniaRachel KannerIlana Katz SandElizabeth Crabtree‐HartmanJustine W. Debelius
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Machine Learning in Healthcare (3 papers)Bioinformatics and Genomic Networks (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Charlotte Nelson
13 papers receiving 983 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 748
- Physiology 147
- Infectious Diseases 147
- Biological Psychiatry 135
- Gastroenterology 116
Countries citing papers authored by Charlotte Nelson
This map shows the geographic impact of Charlotte Nelson'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 Charlotte Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte Nelson more than expected).
Fields of papers citing papers by Charlotte Nelson
This network shows the impact of papers produced by Charlotte Nelson. 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 Charlotte Nelson. The network helps show where Charlotte Nelson may publish in the future.
Co-authorship network of co-authors of Charlotte Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Nelson. A scholar is included among the top collaborators of Charlotte Nelson 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 Charlotte Nelson. Charlotte Nelson 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 | 30 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 41 | |
| 11 | Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse modelsbreakdown → | 730 |
| 12 | Gut dysbiosis is a feature of MS and it is characterized by bacteria able to regulate lymphocyte differentiation in vitro | 8 |
| 13 | 97 | |
| 14 | 14 |
About Charlotte Nelson
Charlotte Nelson is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 14 papers that have together received 998 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Biological Psychiatry (135 citations), Gastroenterology (116 citations) and Health Informatics (23 citations). Charlotte Nelson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Sergio E. Baranzini, Egle Cekanaviciute, Patrizia Casaccia, Tessel F. Runia, Rachel Kanner, Ilana Katz Sand, Elizabeth Crabtree‐Hartman, Justine W. Debelius, Rob Knight and Bruce Cree. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.
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.