Brian S. Yandell
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 8
- Genetics top 0.5%
- Genetic Mapping and Diversity in Plants and Animals 46
- Genetic and phenotypic traits in livestock 37
- Biochemistry top 1%
- Physiology top 2%
- Adipose Tissue and Metabolism 11
- Plant Science top 1%
- Genetics and Plant Breeding 25
-
- Pancreatic function and diabetes 11
-
- Metabolism, Diabetes, and Cancer 9
- Co-authors
- Jeffrey S. SimonoffAlan AttieThomas P. RyanJonathan P. StoehrLuc AnselinChristina KendziorskiLan HongKathryn L. Schueler
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Advanced Materials (1 paper)Journal of Clinical Investigation (1 paper)
- 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
- Statistics and Probability 1.1k
- Genetics 2.4k
- Biochemistry 410
- Physiology 1.1k
- Plant Science 1.6k
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
The 25 scholars most cited alongside Brian S. Yandell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 9 | |
| 7 | R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populationsbreakdown → | 2018 | 242 |
| 8 | 2017 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2012 | 10 | |
| 11 | 2012 | 57 | |
| 12 | 2009 | 56 | |
| 13 | 2008 | 14 | |
| 14 | Rgcs1, a Dominant QTL That Affects Retinal Ganglion Cell Death After Optic Nerve Crush | 2008 | 3 |
| 15 | 2006 | 133 | |
| 16 | 2001 | 48 | |
| 17 | 1997 | 36 | |
| 18 | 1992 | 2 | |
| 19 | 1991 | 7 | |
| 20 | Uniform Confidence Bounds for Regression Based on a Simple Moving Average | 1985 | 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), Genetics and Plant Breeding (25 papers), Adipose Tissue and Metabolism (11 papers), Statistical Methods and Inference (11 papers), Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (9 papers) and Advanced Statistical Methods and Models (8 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.