Matthew D. Shawkey
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Ecology top 1%
- Cell Biology top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Global and Planetary Change top 2%
- Co-authors
- Liliana D’AlbaGeoffrey E. HillChad M. EliasonRafael MaiaAli DhinojwalaMing XiaoStéphanie M. DoucetPierre‐Paul Bitton
- Topics
- Animal Behavior and Reproduction (78 papers)Plant and animal studies (43 papers)melanin and skin pigmentation (40 papers)
- Journals
- NatureScienceChemical Reviews
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Matthew D. Shawkey
163 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Ecology, Evolution, Behavior and Systematics 3.1k
- Ecology 1.6k
- Cell Biology 1.1k
- Atomic and Molecular Physics, and Optics 882
- Global and Planetary Change 861
Countries citing papers authored by Matthew D. Shawkey
This map shows the geographic impact of Matthew D. Shawkey'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 D. Shawkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Shawkey more than expected).
Fields of papers citing papers by Matthew D. Shawkey
This network shows the impact of papers produced by Matthew D. Shawkey. 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 D. Shawkey. The network helps show where Matthew D. Shawkey may publish in the future.
Co-authorship network of co-authors of Matthew D. Shawkey
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Shawkey. A scholar is included among the top collaborators of Matthew D. Shawkey 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 D. Shawkey. Matthew D. Shawkey 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 | 4 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | Unraveling the Structure and Function of Melanin through Synthesisbreakdown → | 264 |
| 8 | 25 | |
| 9 | 16 | |
| 10 | 51 | |
| 11 | 94 | |
| 12 | 28 | |
| 13 | 29 | |
| 14 | 23 | |
| 15 | 22 | |
| 16 | Bio-inspired Structural Colors from Deposition of Synthetic Melanin Nanoparticles by Evaporative Self-assembly | 1 |
| 17 | 49 | |
| 18 | 58 | |
| 19 | What makes a feather shine? : a nanostructural basis for glossy black colors in feathers | 1 |
| 20 | 186 |
About Matthew D. Shawkey
Matthew D. Shawkey is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology and Paleontology, having authored 170 papers that have together received 7.1k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (78 papers), Plant and animal studies (43 papers) and melanin and skin pigmentation (40 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (3.1k citations), Paleontology (798 citations) and Parasitology (496 citations). Matthew D. Shawkey has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Liliana D’Alba, Geoffrey E. Hill, Chad M. Eliason, Rafael Maia, Ali Dhinojwala, Ming Xiao, Stéphanie M. Doucet, Pierre‐Paul Bitton, Nathan C. Gianneschi and Shreekumar Pillai. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.