Matthew P. Scott
- Molecular Biology top 0.2%
- Genetics top 0.2%
- Plant Science top 1%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Co-authors
- Terence HwaJohn W. TamkunSean B. CarrollAmy J. WeinerAllen LaughonGeorge HartzellJoan E. HooperCarl W. Gunderson
- Topics
- Developmental Biology and Gene Regulation (39 papers)Genomics and Chromatin Dynamics (16 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers)
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew P. Scott
80 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 11.0k
- Genetics 3.9k
- Plant Science 1.4k
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 862
Countries citing papers authored by Matthew P. Scott
This map shows the geographic impact of Matthew P. Scott'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 Matthew P. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Scott more than expected).
Fields of papers citing papers by Matthew P. Scott
This network shows the impact of papers produced by Matthew P. Scott. 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 Matthew P. Scott. The network helps show where Matthew P. Scott may publish in the future.
Co-authorship network of co-authors of Matthew P. Scott
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Scott. A scholar is included among the top collaborators of Matthew P. Scott 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 Matthew P. Scott. Matthew P. Scott 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 | 22 | |
| 3 | 15 | |
| 4 | 56 | |
| 5 | 1 | |
| 6 | 101 | |
| 7 | 296 | |
| 8 | 27 | |
| 9 | 5 | |
| 10 | 215 | |
| 11 | 106 | |
| 12 | 212 | |
| 13 | 11 | |
| 14 | 29 | |
| 15 | 69 | |
| 16 | 6 | |
| 17 | brahma: A regulator of Drosophila homeotic genes structurally related to the yeast transcriptional activator SNF2SWI2breakdown → | 809 |
| 18 | 36 | |
| 19 | 114 | |
| 20 | 360 |
About Matthew P. Scott
Matthew P. Scott is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 82 papers that have together received 12.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (39 papers), Genomics and Chromatin Dynamics (16 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers). The work is most often cited by research in Aging (334 citations), Molecular Biology (11.0k citations) and Genetics (3.9k citations). Matthew P. Scott has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Terence Hwa, John W. Tamkun, Sean B. Carroll, Amy J. Weiner, Allen Laughon, George Hartzell, Joan E. Hooper, Carl W. Gunderson, Zhongge Zhang and Thomas C. Kaufman. Their work appears in journals such as Nature, Science 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.