Frances Elmslie
- Molecular Biology top 10%
- Physiology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- John N. WoodMark D. BakerR. Mark GardinerKeith A. ParkerNorbert KlugbauerCaroline FertlemanBjarke AbrahamsenMichele Rees
- Topics
- Genetics and Neurodevelopmental Disorders (7 papers)Tuberous Sclerosis Complex Research (5 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Journals
- NeuronNature GeneticsNeurology
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Frances Elmslie
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.2k
- Physiology 740
- Genetics 566
- Cellular and Molecular Neuroscience 440
- Pulmonary and Respiratory Medicine 210
Countries citing papers authored by Frances Elmslie
This map shows the geographic impact of Frances Elmslie'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 Frances Elmslie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances Elmslie more than expected).
Fields of papers citing papers by Frances Elmslie
This network shows the impact of papers produced by Frances Elmslie. 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 Frances Elmslie. The network helps show where Frances Elmslie may publish in the future.
Co-authorship network of co-authors of Frances Elmslie
This figure shows the co-authorship network connecting the top 25 collaborators of Frances Elmslie. A scholar is included among the top collaborators of Frances Elmslie 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 Frances Elmslie. Frances Elmslie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 24 | |
| 3 | 53 | |
| 4 | 187 | |
| 5 | 53 | |
| 6 | 218 | |
| 7 | 42 | |
| 8 | 112 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | SCN9A Mutations in Paroxysmal Extreme Pain Disorder: Allelic Variants Underlie Distinct Channel Defects and Phenotypesbreakdown → | 559 |
| 12 | 85 | |
| 13 | 10 | |
| 14 | 46 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 190 | |
| 20 | 52 |
About Frances Elmslie
Frances Elmslie is a scholar working on Developmental Biology, Genetics and Physiology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Tuberous Sclerosis Complex Research (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Physiology (740 citations), Cellular and Molecular Neuroscience (440 citations) and Genetics (566 citations). Frances Elmslie has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John N. Wood, Mark D. Baker, R. Mark Gardiner, Keith A. Parker, Norbert Klugbauer, Caroline Fertleman, Bjarke Abrahamsen, Michele Rees, Johan Östman and Melita Irving. Their work appears in journals such as Neuron, Nature Genetics and Neurology.
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.