Brian S. Yandell
- Molecular Biology top 2%
- Genetics top 0.5%
- Plant Science top 1%
- Physiology top 2%
- Statistics and Probability top 0.2%
- Co-authors
- Jeffrey S. SimonoffAlan AttieThomas P. RyanJonathan P. StoehrLuc AnselinChristina KendziorskiLan HongKathryn L. Schueler
- Topics
- Genetic Mapping and Diversity in Plants and Animals (46 papers)Genetic and phenotypic traits in livestock (37 papers)Genetics and Plant Breeding (25 papers)
- Journals
- Proceedings of the National Academy of SciencesAdvanced MaterialsJournal of Clinical Investigation
- Partner nations
- United StatesNetherlandsBrazil
In The Last Decade
Brian S. Yandell
151 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Molecular Biology 2.8k
- Genetics 2.4k
- Plant Science 1.6k
- Physiology 1.1k
- Statistics and Probability 1.1k
Countries citing papers authored by Brian S. Yandell
This map shows the geographic impact of Brian S. Yandell'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 Brian S. Yandell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian S. Yandell more than expected).
Fields of papers citing papers by Brian S. Yandell
This network shows the impact of papers produced by Brian S. Yandell. 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 Brian S. Yandell. The network helps show where Brian S. Yandell may publish in the future.
Co-authorship network of co-authors of Brian S. Yandell
This figure shows the co-authorship network connecting the top 25 collaborators of Brian S. Yandell. A scholar is included among the top collaborators of Brian S. Yandell 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 Brian S. Yandell. Brian S. Yandell 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 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populationsbreakdown → | 242 |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 57 | |
| 12 | 56 | |
| 13 | 14 | |
| 14 | Rgcs1, a Dominant QTL That Affects Retinal Ganglion Cell Death After Optic Nerve Crush | 3 |
| 15 | 133 | |
| 16 | 48 | |
| 17 | 36 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | Uniform Confidence Bounds for Regression Based on a Simple Moving Average | 15 |
About Brian S. Yandell
Brian S. Yandell is a scholar working on Genetics, Statistics and Probability and Plant Science, having authored 153 papers that have together received 9.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (46 papers), Genetic and phenotypic traits in livestock (37 papers) and Genetics and Plant Breeding (25 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Genetics (2.4k citations) and Biochemistry (410 citations). Brian S. Yandell has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Jeffrey S. Simonoff, Alan Attie, Thomas P. Ryan, Jonathan P. Stoehr, Luc Anselin, Christina Kendziorski, Lan Hong, Kathryn L. Schueler, Mark P. Keller and Samuel T. Nadler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Clinical Investigation.
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.