Myra K. Derbyshire
- Molecular Biology top 2%
- Plant Science top 1%
- Ecology top 2%
- Genetics top 5%
- Immunology top 10%
- Co-authors
- Aron Marchler‐BauerRoxanne A. YamashitaChristopher J. LanczyckiNoreen R. GonzalesShennan LuGabriele H. MarchlerFarideh ChitsazNarmada Thanki
- Topics
- Genomics and Phylogenetic Studies (7 papers)Advanced Proteomics Techniques and Applications (5 papers)RNA and protein synthesis mechanisms (4 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Myra K. Derbyshire
14 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 3.8k
- Plant Science 2.2k
- Ecology 850
- Genetics 586
- Immunology 382
Countries citing papers authored by Myra K. Derbyshire
This map shows the geographic impact of Myra K. Derbyshire'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 Myra K. Derbyshire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myra K. Derbyshire more than expected).
Fields of papers citing papers by Myra K. Derbyshire
This network shows the impact of papers produced by Myra K. Derbyshire. 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 Myra K. Derbyshire. The network helps show where Myra K. Derbyshire may publish in the future.
Co-authorship network of co-authors of Myra K. Derbyshire
This figure shows the co-authorship network connecting the top 25 collaborators of Myra K. Derbyshire. A scholar is included among the top collaborators of Myra K. Derbyshire 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 Myra K. Derbyshire. Myra K. Derbyshire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The conserved domain database in 2023breakdown → | 531 |
| 2 | 182 | |
| 3 | CDD/SPARCLE: the conserved domain database in 2020breakdown → | 1951 |
| 4 | 1 | |
| 5 | 18 | |
| 6 | CDD: NCBI's conserved domain databasebreakdown → | 2624 |
| 7 | CDD: conserved domains and protein three-dimensional structurebreakdown → | 714 |
| 8 | 22 | |
| 9 | 3 | |
| 10 | 46 | |
| 11 | 55 | |
| 12 | 70 | |
| 13 | 18 | |
| 14 | 28 |
About Myra K. Derbyshire
Myra K. Derbyshire is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 14 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Advanced Proteomics Techniques and Applications (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Endocrinology (317 citations), Plant Science (2.2k citations) and Molecular Biology (3.8k citations). Myra K. Derbyshire has collaborated with scholars based in United States and Italy. Frequent co-authors include Aron Marchler‐Bauer, Roxanne A. Yamashita, Christopher J. Lanczycki, Noreen R. Gonzales, Shennan Lu, Gabriele H. Marchler, Farideh Chitsaz, Narmada Thanki, Dachuan Zhang and Marc Gwadz. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology and Cancer 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.