Marie T. Lott
- Molecular Biology top 0.5%
- Clinical Biochemistry top 0.01%
- Genetics top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Co-authors
- Douglas C. WallaceJohn M. ShoffnerAngela Maria Serena LezzaGurparkash SinghMarisol Corral‐DebrinskiScott W. BallingerTheodore G. SchurrEeva Nikoskelainen
- Topics
- Mitochondrial Function and Pathology (42 papers)Metabolism and Genetic Disorders (33 papers)ATP Synthase and ATPases Research (20 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Marie T. Lott
52 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 8.4k
- Clinical Biochemistry 4.2k
- Genetics 1.3k
- Cellular and Molecular Neuroscience 860
- Physiology 754
Countries citing papers authored by Marie T. Lott
This map shows the geographic impact of Marie T. Lott'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 Marie T. Lott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie T. Lott more than expected).
Fields of papers citing papers by Marie T. Lott
This network shows the impact of papers produced by Marie T. Lott. 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 Marie T. Lott. The network helps show where Marie T. Lott may publish in the future.
Co-authorship network of co-authors of Marie T. Lott
This figure shows the co-authorship network connecting the top 25 collaborators of Marie T. Lott. A scholar is included among the top collaborators of Marie T. Lott 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 Marie T. Lott. Marie T. Lott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 20 | |
| 3 | 87 | |
| 4 | 51 | |
| 5 | 349 | |
| 6 | 98 | |
| 7 | 46 | |
| 8 | 190 | |
| 9 | 20 | |
| 10 | 44 | |
| 11 | 35 | |
| 12 | Mitochondrial DNA deletions in human brain: regional variability and increase with advanced agebreakdown → | 709 |
| 13 | 289 | |
| 14 | 230 | |
| 15 | 304 | |
| 16 | Myoclonic epilepsy and ragged-red fiber disease (MERRF) is associated with a mitochondrial DNA tRNALys mutationbreakdown → | 1150 |
| 17 | 22 | |
| 18 | 93 | |
| 19 | 117 | |
| 20 | 401 |
About Marie T. Lott
Marie T. Lott is a scholar working on Clinical Biochemistry, Molecular Biology and Genetics, having authored 53 papers that have together received 9.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (42 papers), Metabolism and Genetic Disorders (33 papers) and ATP Synthase and ATPases Research (20 papers). The work is most often cited by research in Clinical Biochemistry (4.2k citations), Molecular Biology (8.4k citations) and Aging (181 citations). Marie T. Lott has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Douglas C. Wallace, John M. Shoffner, Angela Maria Serena Lezza, Gurparkash Singh, Marisol Corral‐Debrinski, Scott W. Ballinger, Theodore G. Schurr, Eeva Nikoskelainen, Louis J. Elsas and Michael D. Brown. Their work appears in journals such as Science, New England Journal of Medicine and Cell.
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.