Robert Baertsch
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 2
- ATP Synthase and ATPases Research 2
- Plant Science top 1%
- Chromosomal and Genetic Variations 4
- Genetics top 1%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 3
- Horticulture top 5%
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- Prostate Cancer Treatment and Research 7
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- Radiopharmaceutical Chemistry and Applications 4
Robert Baertsch
21 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 3.7k
- Plant Science 1.7k
- Genetics 1.3k
- Cancer Research 476
- Horticulture 22
Countries citing papers authored by Robert Baertsch
This map shows the geographic impact of Robert Baertsch'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 Robert Baertsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Baertsch more than expected).
Fields of papers citing papers by Robert Baertsch
This network shows the impact of papers produced by Robert Baertsch. 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 Robert Baertsch. The network helps show where Robert Baertsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Baertsch, 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 | 2018 | 6 | |
| 2 | N-Myc Drives Neuroendocrine Prostate Cancer Initiated from Human Prostate Epithelial Cellsbreakdown → | 2016 | 280 |
| 3 | 2016 | 74 | |
| 4 | 2016 | 1 | |
| 5 | 2015 | 1 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 43 | |
| 8 | 2014 | 6 | |
| 9 | 2009 | 66 | |
| 10 | 2008 | 78 | |
| 11 | Using native and syntenically mapped cDNA alignments to improve de novo gene findingbreakdown → | 2008 | 1478 |
| 12 | 2007 | 164 | |
| 13 | 2007 | 26 | |
| 14 | 2006 | 55 | |
| 15 | 2006 | 12 | |
| 16 | 2005 | 10 | |
| 17 | 2004 | 102 | |
| 18 | Aligning Multiple Genomic Sequences With the Threaded Blockset Alignerbreakdown → | 2004 | 1045 |
| 19 | Evolution's cauldron: Duplication, deletion, and rearrangement in the mouse and human genomesbreakdown → | 2003 | 581 |
| 20 | Human–Mouse Alignments with BLASTZbreakdown → | 2002 | 930 |
About Robert Baertsch
Robert Baertsch is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Paleontology, having authored 21 papers that have together received 5.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers), Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Chromosomal and Genetic Variations (4 papers), Cancer, Lipids, and Metabolism (3 papers), Machine Learning in Bioinformatics (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Plant Science (1.7k citations), Genetics (1.3k citations), Cancer Research (476 citations) and Horticulture (22 citations). Robert Baertsch has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include David Haussler, Mark Diekhans, Mario Stanke, W. James Kent, Webb Miller, Arian F. A. Smit, Ross C. Hardison, Scott Schwartz, Angie S. Hinrichs and Zheng Zhang. Their work appears in journals such as Genome Research, Journal of Clinical Oncology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Clinical Cancer Research.
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.