Brian Libby
Impact in
- Aging top 5%
-
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
Papers in
-
- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 3
- Melanoma and MAPK Pathways 2
- DNA Repair Mechanisms 2
- Bacterial biofilms and quorum sensing 1
- Genetics 4
- Animal Genetics and Reproduction 2
- Co-authors
- John C. Schimenti (5 shared papers)Laura G. Reinholdt (2 shared papers)Martina Medkova (1 shared paper)J. Brian Hutchison (1 shared paper)Michael P. Weiner (1 shared paper)Masakazu Nakano (1 shared paper)Darren R. Link (1 shared paper)Ryan Tewhey (1 shared paper)
- Journals
- Biochemistry (2 papers)Nature Genetics (1 paper)Biology of Reproduction (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Brian Libby
11 papers receiving 940 citations
Peers
Comparison fields: 5 of 95
- Aging 45
- Molecular Biology 619
- Genetics 235
- Reproductive Medicine 55
- Cancer Research 88
Countries citing papers authored by Brian Libby
This map shows the geographic impact of Brian Libby'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 Libby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Libby more than expected).
Fields of papers citing papers by Brian Libby
This network shows the impact of papers produced by Brian Libby. 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 Libby. The network helps show where Brian Libby may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Libby, 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 | 2009 | 345 | |
| 2 | 2000 | 113 | |
| 3 | 2002 | 110 | |
| 4 | 2003 | 99 | |
| 5 | 1998 | 81 | |
| 6 | 2004 | 74 | |
| 7 | 2003 | 49 | |
| 8 | 2007 | 36 | |
| 9 | 2000 | 28 | |
| 10 | 2009 | 23 | |
| 11 | 1999 | 1 |
About Brian Libby
Brian Libby is a scholar working on Molecular Biology, Genetics, Plant Science, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 959 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers), Melanoma and MAPK Pathways (2 papers), DNA Repair Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Animal Genetics and Reproduction (2 papers), Computational Drug Discovery Methods (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Aging (45 citations), Molecular Biology (619 citations), Genetics (235 citations), Reproductive Medicine (55 citations) and Cancer Research (88 citations). Brian Libby has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John C. Schimenti, Laura G. Reinholdt, Martina Medkova, J. Brian Hutchison, Michael P. Weiner, Masakazu Nakano, Darren R. Link, Ryan Tewhey, Steve K. Kotsopoulos and Jonathan W. Larson. Their work appears in journals such as Biochemistry, Nature Genetics, Biology of Reproduction, Journal of Biological Chemistry and Journal of Clinical Microbiology.
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.