Nancy A. Schable
- Genetics top 5%
- Ecology top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Plant Science top 10%
- Co-authors
- Travis C. GlennRobert U. FischerDennis J. LyeKeya SenCris HagenOlga V. TsyuskoMichael H. SmithI. Lehr Brisbin
- Topics
- Genetic diversity and population structure (15 papers)Genetic and phenotypic traits in livestock (4 papers)Genomics and Phylogenetic Studies (4 papers)
- Journals
- Applied and Environmental MicrobiologyMethods in enzymology on CD-ROM/Methods in enzymologyMolecular Ecology Resources
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Nancy A. Schable
20 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 652
- Ecology 347
- Molecular Biology 298
- Ecology, Evolution, Behavior and Systematics 249
- Plant Science 226
Countries citing papers authored by Nancy A. Schable
This map shows the geographic impact of Nancy A. Schable'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 Nancy A. Schable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy A. Schable more than expected).
Fields of papers citing papers by Nancy A. Schable
This network shows the impact of papers produced by Nancy A. Schable. 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 Nancy A. Schable. The network helps show where Nancy A. Schable may publish in the future.
Co-authorship network of co-authors of Nancy A. Schable
This figure shows the co-authorship network connecting the top 25 collaborators of Nancy A. Schable. A scholar is included among the top collaborators of Nancy A. Schable 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 Nancy A. Schable. Nancy A. Schable is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | 7 | |
| 9 | Isolating Microsatellite DNA Locibreakdown → | 758 |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 29 | |
| 18 | 24 | |
| 19 | 47 | |
| 20 | 15 |
About Nancy A. Schable
Nancy A. Schable is a scholar working on Genetics, Forestry and Ecology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (15 papers), Genetic and phenotypic traits in livestock (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Genetics (652 citations), Nature and Landscape Conservation (166 citations) and Ecology (347 citations). Nancy A. Schable has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Travis C. Glenn, Robert U. Fischer, Dennis J. Lye, Keya Sen, Cris Hagen, Olga V. Tsyusko, Michael H. Smith, I. Lehr Brisbin, Sílvia Nassif Del Lama and A. Lawrence Bryan. Their work appears in journals such as Applied and Environmental Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology and Molecular Ecology Resources.
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.