M. Kaye Trembath
- Molecular Biology
- Cellular and Molecular Neuroscience
- Neurology
- Genetics
- Clinical Biochemistry top 10%
- Co-authors
- H. B. LukinsAnthony W. LinnaneA.W. LinnaneRichard S. CriddleMartin B. DelatyckiAlexander TzagoloffVeronica CollinsGloria M. Coruzzi
- Topics
- Mitochondrial Function and Pathology (10 papers)Fungal and yeast genetics research (5 papers)RNA and protein synthesis mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
M. Kaye Trembath
18 papers receiving 487 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 415
- Cellular and Molecular Neuroscience 122
- Neurology 59
- Genetics 42
- Clinical Biochemistry 36
Countries citing papers authored by M. Kaye Trembath
This map shows the geographic impact of M. Kaye Trembath'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 M. Kaye Trembath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kaye Trembath more than expected).
Fields of papers citing papers by M. Kaye Trembath
This network shows the impact of papers produced by M. Kaye Trembath. 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 M. Kaye Trembath. The network helps show where M. Kaye Trembath may publish in the future.
Co-authorship network of co-authors of M. Kaye Trembath
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kaye Trembath. A scholar is included among the top collaborators of M. Kaye Trembath 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 M. Kaye Trembath. M. Kaye Trembath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 76 | |
| 3 | 42 | |
| 4 | 24 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 27 | |
| 9 | 28 | |
| 10 | 33 | |
| 11 | 17 | |
| 12 | 26 | |
| 13 | 22 | |
| 14 | 24 | |
| 15 | 26 | |
| 16 | 33 | |
| 17 | 42 | |
| 18 | 45 |
About M. Kaye Trembath
M. Kaye Trembath is a scholar working on Clinical Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 523 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Fungal and yeast genetics research (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (122 citations), Molecular Biology (415 citations) and Clinical Biochemistry (36 citations). M. Kaye Trembath has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include H. B. Lukins, Anthony W. Linnane, A.W. Linnane, Richard S. Criddle, Martin B. Delatycki, Alexander Tzagoloff, Veronica Collins, Gloria M. Coruzzi, G.M. Kellerman and Brian C. Monk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.
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.