Brian Sauer
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 18
- Animal Genetics and Reproduction 11
- Virus-based gene therapy research 6
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 23
- RNA and protein synthesis mechanisms 14
- RNA Interference and Gene Delivery 13
- Pluripotent Stem Cells Research 10
- Developmental Neuroscience top 2%
- Biotechnology top 2%
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- Bacteriophages and microbial interactions 17
- Co-authors
- Neil C. HendersonNancy HendersonJun‐Li LiuMerja LaksoShoshana YakarDerek LeRoithAndrew A. ButlerBethel Stannard
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Nucleic Acids Research (7 papers)Journal of Molecular Biology (6 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Brian Sauer
64 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 2.7k
- Molecular Biology 5.9k
- Endocrinology, Diabetes and Metabolism 1.2k
- Developmental Neuroscience 192
- Biotechnology 314
Countries citing papers authored by Brian Sauer
This map shows the geographic impact of Brian Sauer'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 Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Sauer more than expected).
Fields of papers citing papers by Brian Sauer
This network shows the impact of papers produced by Brian Sauer. 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 Sauer. The network helps show where Brian Sauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Sauer, 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 | 32 | |
| 2 | 2004 | 113 | |
| 3 | 2004 | 4 | |
| 4 | 2004 | 13 | |
| 5 | 2003 | 18 | |
| 6 | 2003 | 15 | |
| 7 | 2003 | 0 | |
| 8 | 2002 | 19 | |
| 9 | 2002 | 42 | |
| 10 | 2001 | 24 | |
| 11 | 1998 | 39 | |
| 12 | Inducible Gene Targeting in Mice Using the Cre/loxSystembreakdown → | 1998 | 551 |
| 13 | 1994 | 9 | |
| 14 | 1993 | 15 | |
| 15 | 1993 | 110 | |
| 16 | 1992 | 73 | |
| 17 | 1992 | 49 | |
| 18 | 1992 | 20 | |
| 19 | 1989 | 1 | |
| 20 | 1988 | 54 |
About Brian Sauer
Brian Sauer is a scholar working on Genetics, Molecular Biology and Ecology, having authored 66 papers that have together received 8.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (23 papers), Bacterial Genetics and Biotechnology (18 papers), Bacteriophages and microbial interactions (17 papers), RNA and protein synthesis mechanisms (14 papers), RNA Interference and Gene Delivery (13 papers), Animal Genetics and Reproduction (11 papers), Pluripotent Stem Cells Research (10 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Genetics (2.7k citations), Molecular Biology (5.9k citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Brian Sauer has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Neil C. Henderson, Nancy Henderson, Jun‐Li Liu, Merja Lakso, Shoshana Yakar, Derek LeRoith, Andrew A. Butler, Bethel Stannard, Yoshiyuki Okamoto and H Westphal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Journal of Molecular Biology, Analytical Biochemistry and Journal of Biological Chemistry.
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.