Caroline M. Weisman

826 total citations
8 papers, 456 citations indexed

About

Caroline M. Weisman is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Caroline M. Weisman has authored 8 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Caroline M. Weisman's work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers) and Plant Stress Responses and Tolerance (2 papers). Caroline M. Weisman is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers) and Plant Stress Responses and Tolerance (2 papers). Caroline M. Weisman collaborates with scholars based in United States, United Kingdom and Czechia. Caroline M. Weisman's co-authors include Sean R. Eddy, Andrew W. Murray, Kirsten Bomblies, Brian Arnold, Levi Yant, Brett Lahner, David E. Salt, Jeffrey M. DaCosta, Jesse D. Hollister and Pierre Baduel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Current Biology.

In The Last Decade

Caroline M. Weisman

8 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline M. Weisman United States 7 293 220 156 54 39 8 456
Josip Brajković Croatia 6 344 1.2× 217 1.0× 122 0.8× 32 0.6× 45 1.2× 6 464
Alsu Saifitdinova Russia 14 318 1.1× 276 1.3× 288 1.8× 102 1.9× 38 1.0× 45 590
Ondřej Mihola Czechia 11 459 1.6× 207 0.9× 463 3.0× 73 1.4× 43 1.1× 17 755
Svetlana Galkina Russia 13 375 1.3× 403 1.8× 367 2.4× 31 0.6× 52 1.3× 47 650
Thomas P. van Gurp Netherlands 10 170 0.6× 205 0.9× 67 0.4× 72 1.3× 44 1.1× 10 361
František Zedek Czechia 15 252 0.9× 419 1.9× 147 0.9× 183 3.4× 34 0.9× 30 536
Benjamin H. Krinsky United States 5 296 1.0× 137 0.6× 197 1.3× 57 1.1× 28 0.7× 7 434
Kamalakar Chatla United States 9 128 0.4× 90 0.4× 94 0.6× 23 0.4× 32 0.8× 20 245
Marie-Julie Favé Canada 6 136 0.5× 201 0.9× 191 1.2× 112 2.1× 35 0.9× 9 463
Viktoria Nizhynska Austria 15 486 1.7× 566 2.6× 254 1.6× 116 2.1× 22 0.6× 21 833

Countries citing papers authored by Caroline M. Weisman

Since Specialization
Citations

This map shows the geographic impact of Caroline M. Weisman'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 Caroline M. Weisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline M. Weisman more than expected).

Fields of papers citing papers by Caroline M. Weisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline M. Weisman. 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 Caroline M. Weisman. The network helps show where Caroline M. Weisman may publish in the future.

Co-authorship network of co-authors of Caroline M. Weisman

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline M. Weisman. A scholar is included among the top collaborators of Caroline M. Weisman 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 Caroline M. Weisman. Caroline M. Weisman 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.
Weisman, Caroline M., et al.. (2022). Defining characteristics and conservation of poorly annotated genes in Caenorhabditis elegans using WormCat 2.0. Genetics. 221(4). 22 indexed citations
2.
Weisman, Caroline M.. (2022). The Origins and Functions of De Novo Genes: Against All Odds?. Journal of Molecular Evolution. 90(3-4). 244–257. 34 indexed citations
3.
Weisman, Caroline M., Andrew W. Murray, & Sean R. Eddy. (2022). Mixing genome annotation methods in a comparative analysis inflates the apparent number of lineage-specific genes. Current Biology. 32(12). 2632–2639.e2. 47 indexed citations
4.
Weisman, Caroline M., Andrew W. Murray, & Sean R. Eddy. (2022). Mixing Genome Annotation Methods in a Comparative Analysis Inflates the Apparent Number of Lineage-Specific Genes. SSRN Electronic Journal. 1 indexed citations
5.
Weisman, Caroline M., Andrew W. Murray, & Sean R. Eddy. (2020). Many, but not all, lineage-specific genes can be explained by homology detection failure. PLoS Biology. 18(11). e3000862–e3000862. 105 indexed citations
6.
Monnahan, Patrick J., Filip Kolář, Pierre Baduel, et al.. (2019). Pervasive population genomic consequences of genome duplication in Arabidopsis arenosa. Nature Ecology & Evolution. 3(3). 457–468. 92 indexed citations
7.
Baduel, Pierre, Brian Arnold, Caroline M. Weisman, Ben Hunter, & Kirsten Bomblies. (2016). Habitat-Associated Life History and Stress-Tolerance Variation in Arabidopsis arenosa. PLANT PHYSIOLOGY. 171(1). 437–451. 30 indexed citations
8.
Arnold, Brian, Brett Lahner, Jeffrey M. DaCosta, et al.. (2016). Borrowed alleles and convergence in serpentine adaptation. Proceedings of the National Academy of Sciences. 113(29). 8320–8325. 125 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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2026