Karl W. Broman
- Genetics top 0.05%
- Genetic Mapping and Diversity in Plants and Animals 74
- Genetic and phenotypic traits in livestock 47
- Genetic diversity and population structure 14
- Genetic Associations and Epidemiology 13
- Plant Science top 0.2%
- Genetics and Plant Breeding 27
- Chromosomal and Genetic Variations 13
- Aging top 1%
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics 10
- Gene expression and cancer classification 9
- Virology top 2%
- Co-authors
- Gary A. ChurchillŚaunak SenHao WuJames L. WeberVal C. SheffieldR. WhiteTerence P. SpeedPjotr Prins
- Cited by
- GeneticsPlant ScienceAging
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Karl W. Broman
170 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Genetics 7.2k
- Plant Science 3.9k
- Aging 169
- Molecular Biology 5.3k
- Virology 227
Countries citing papers authored by Karl W. Broman
This map shows the geographic impact of Karl W. Broman'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 Karl W. Broman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl W. Broman more than expected).
Fields of papers citing papers by Karl W. Broman
This network shows the impact of papers produced by Karl W. Broman. 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 Karl W. Broman. The network helps show where Karl W. Broman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl W. Broman, 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 | 2022 | 9 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 6 | |
| 10 | R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populationsbreakdown → | 2018 | 242 |
| 11 | 2015 | 16 | |
| 12 | 2015 | 27 | |
| 13 | 2014 | 25 | |
| 14 | 2012 | 7 | |
| 15 | 2010 | 23 | |
| 16 | 2008 | 198 | |
| 17 | 2006 | 31 | |
| 18 | Inheritance of a Novel COL8A2 Mutation Defines a Distinct Subtype of Fuchs' Corneal Dystrophy | 2005 | 3 |
| 19 | 2004 | 134 | |
| 20 | 2000 | 0 |
About Karl W. Broman
Karl W. Broman is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 176 papers that have together received 13.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (74 papers), Genetic and phenotypic traits in livestock (47 papers), Genetics and Plant Breeding (27 papers), Genetic diversity and population structure (14 papers), Chromosomal and Genetic Variations (13 papers), Genetic Associations and Epidemiology (13 papers), Genomics and Chromatin Dynamics (10 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Genetics (7.2k citations), Plant Science (3.9k citations) and Aging (169 citations). Karl W. Broman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gary A. Churchill, Śaunak Sen, Hao Wu, James L. Weber, Śaunak Sen, Val C. Sheffield, R. White, Terence P. Speed, Pjotr Prins and Ani Manichaikul. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.