Tracey Lewis
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Psychiatry and Mental health top 5%
- Genetics top 10%
- Co-authors
- Robin J. LeachB.E. ReusMark LeppertStephen G. RyanCarole CharlierNanda A. SinghPhilip S. BernardKen Ward
- Topics
- Genomics and Rare Diseases (5 papers)Molecular Biology Techniques and Applications (4 papers)Metabolism and Genetic Disorders (3 papers)
- Cited by
- Cellular and Molecular NeurosciencePsychiatry and Mental healthCardiology and Cardiovascular Medicine
- Journals
- Nature GeneticsCancerGenome Research
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tracey Lewis
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 927
- Cellular and Molecular Neuroscience 549
- Cardiology and Cardiovascular Medicine 359
- Psychiatry and Mental health 327
- Genetics 306
Countries citing papers authored by Tracey Lewis
This map shows the geographic impact of Tracey Lewis'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 Tracey Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracey Lewis more than expected).
Fields of papers citing papers by Tracey Lewis
This network shows the impact of papers produced by Tracey Lewis. 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 Tracey Lewis. The network helps show where Tracey Lewis may publish in the future.
Co-authorship network of co-authors of Tracey Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Tracey Lewis. A scholar is included among the top collaborators of Tracey Lewis 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 Tracey Lewis. Tracey Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 38 | |
| 10 | 70 | |
| 11 | 49 | |
| 12 | A pore mutation in a novel KQT-like potassium channel gene in an idiopathic epilepsy familybreakdown → | 729 |
| 13 | 122 | |
| 14 | 16 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | Two novel human serine/threonine kinases with homologies to the cell cycle regulating Xenopus MO15, and NIMA kinases: cloning and characterization of their expression pattern. | 59 |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 15 |
About Tracey Lewis
Tracey Lewis is a scholar working on Clinical Biochemistry, Genetics and Genetics, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Molecular Biology Techniques and Applications (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (549 citations), Psychiatry and Mental health (327 citations) and Cardiology and Cardiovascular Medicine (359 citations). Tracey Lewis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robin J. Leach, B.E. Reus, Mark Leppert, Stephen G. Ryan, Carole Charlier, Nanda A. Singh, Philip S. Bernard, Ken Ward, Cheryl M. Coffin and G. David Roodman. Their work appears in journals such as Nature Genetics, Cancer and Genome Research.
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.