Stephen L. Dellaporta
- Plant Science top 0.05%
- Molecular Biology top 0.5%
- Genetics top 1%
- Biotechnology top 0.2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- James HicksJonathan WoodAlejandro Calderón‐UrreaElsbeth L. WalkerMaria A. MorenoSusan R. WesslerMassimo GalbiatiZivile Panaviene
- Topics
- Chromosomal and Genetic Variations (14 papers)Marine Invertebrate Physiology and Ecology (13 papers)Genetic Mapping and Diversity in Plants and Animals (12 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stephen L. Dellaporta
68 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Plant Science 9.2k
- Molecular Biology 6.5k
- Genetics 1.7k
- Biotechnology 1.1k
- Ecology, Evolution, Behavior and Systematics 833
Countries citing papers authored by Stephen L. Dellaporta
This map shows the geographic impact of Stephen L. Dellaporta'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 Stephen L. Dellaporta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Dellaporta more than expected).
Fields of papers citing papers by Stephen L. Dellaporta
This network shows the impact of papers produced by Stephen L. Dellaporta. 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 Stephen L. Dellaporta. The network helps show where Stephen L. Dellaporta may publish in the future.
Co-authorship network of co-authors of Stephen L. Dellaporta
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Dellaporta. A scholar is included among the top collaborators of Stephen L. Dellaporta 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 Stephen L. Dellaporta. Stephen L. Dellaporta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 70 | |
| 3 | 29 | |
| 4 | 38 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 247 | |
| 8 | 199 | |
| 9 | 323 | |
| 10 | 19 | |
| 11 | 15 | |
| 12 | 85 | |
| 13 | 90 | |
| 14 | 32 | |
| 15 | 29 | |
| 16 | 78 | |
| 17 | 43 | |
| 18 | 56 | |
| 19 | 76 | |
| 20 | Maize DNA minipreps | 144 |
About Stephen L. Dellaporta
Stephen L. Dellaporta is a scholar working on Paleontology, Plant Science and Molecular Biology, having authored 68 papers that have together received 12.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (14 papers), Marine Invertebrate Physiology and Ecology (13 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). The work is most often cited by research in Plant Science (9.2k citations), Horticulture (211 citations) and Biotechnology (1.1k citations). Stephen L. Dellaporta has collaborated with scholars based in United States, Germany and France. Frequent co-authors include James Hicks, Jonathan Wood, Alejandro Calderón‐Urrea, Elsbeth L. Walker, Maria A. Moreno, Susan R. Wessler, Massimo Galbiati, Zivile Panaviene, Catherine Curie and Jean‐François Briat. 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.