Robert Baertsch

2.8k total citations
8 papers, 711 citations indexed

About

Robert Baertsch is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Robert Baertsch has authored 8 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Paleontology. Recurrent topics in Robert Baertsch's work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers) and Evolution and Paleontology Studies (2 papers). Robert Baertsch is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers) and Evolution and Paleontology Studies (2 papers). Robert Baertsch collaborates with scholars based in United States, Germany and Russia. Robert Baertsch's co-authors include David Haussler, W. James Kent, Evan E. Eichler, Jeffrey A. Bailey, Sofie R. Salama, Andrew D. Kern, Sol Katzman, Jakob Skou Pedersen, Gill Bejerano and Timothy R. Dreszer and has published in prestigious journals such as Nature Communications, Cancer Research and Genome Research.

In The Last Decade

Robert Baertsch

8 papers receiving 690 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Baertsch United States 8 495 313 225 57 42 8 711
Camille Berthelot France 12 826 1.7× 377 1.2× 269 1.2× 99 1.7× 32 0.8× 15 1.1k
Patrick Harrigan United States 6 838 1.7× 373 1.2× 178 0.8× 111 1.9× 25 0.6× 7 1.1k
Michael W. Vandewege United States 14 400 0.8× 176 0.6× 242 1.1× 28 0.5× 47 1.1× 33 657
Kirk E. Lohmueller United States 6 430 0.9× 914 2.9× 117 0.5× 37 0.6× 21 0.5× 7 1.1k
P.G. Johnston Australia 17 374 0.8× 488 1.6× 278 1.2× 18 0.3× 40 1.0× 31 683
Konstantin Popadin Russia 16 685 1.4× 336 1.1× 63 0.3× 142 2.5× 16 0.4× 32 999
Domitille Chalopin France 13 656 1.3× 336 1.1× 454 2.0× 63 1.1× 81 1.9× 22 1.1k
Vincent Laudet France 7 387 0.8× 207 0.7× 114 0.5× 32 0.6× 37 0.9× 8 581
Tetsuaki Kimura Japan 14 292 0.6× 190 0.6× 116 0.5× 39 0.7× 44 1.0× 28 618
Bradley J. Nelson United States 11 508 1.0× 498 1.6× 152 0.7× 76 1.3× 19 0.5× 22 859

Countries citing papers authored by Robert Baertsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Robert Baertsch

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Baertsch. A scholar is included among the top collaborators of Robert Baertsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Baertsch. Robert Baertsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Newton, Yulia, Adam M. Novak, Teresa Swatloski, et al.. (2017). TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal. Cancer Research. 77(21). e111–e114. 41 indexed citations
2.
Doronina, Liliya, Gennady Churakov, Jingjing Shi, et al.. (2017). Speciation network in Laurasiatheria: retrophylogenomic signals. Genome Research. 27(6). 997–1003. 32 indexed citations
3.
Schmitz, Jürgen, Angela Noll, Carsten A. Raabe, et al.. (2016). Genome sequence of the basal haplorrhine primate Tarsius syrichta reveals unusual insertions. Nature Communications. 7(1). 12997–12997. 27 indexed citations
4.
Doronina, Liliya, Gennady Churakov, Jingjing Shi, et al.. (2015). Exploring Massive Incomplete Lineage Sorting in Arctoids (Laurasiatheria, Carnivora). Molecular Biology and Evolution. 32(12). msv188–msv188. 33 indexed citations
5.
Bond, Morgan H., Chad Hanson, Robert Baertsch, Sean A. Hayes, & R. Bruce MacFarlane. (2007). A New Low‐Cost Instream Antenna System for Tracking Passive Integrated Transponder (PIT)‐Tagged Fish in Small Streams. Transactions of the American Fisheries Society. 136(3). 562–566. 42 indexed citations
6.
Pollard, Katherine S., Sofie R. Salama, Bryan H. King, et al.. (2006). Forces Shaping the Fastest Evolving Regions in the Human Genome. PLoS Genetics. 2(10). e168–e168. 341 indexed citations
7.
Bailey, Jeffrey A., Robert Baertsch, W. James Kent, David Haussler, & Evan E. Eichler. (2004). Hotspots of mammalian chromosomal evolution. Genome biology. 5(4). R23–R23. 178 indexed citations
8.
Robertson, Michael P., Howard J. Igel, Robert Baertsch, et al.. (2004). The Structure of a Rigorously Conserved RNA Element Within the SARS Virus Genome. Physics in Medicine and Biology. 3. 17 indexed citations

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.

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