Kathryn P. Kohl

638 total citations
12 papers, 424 citations indexed

About

Kathryn P. Kohl is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Kathryn P. Kohl has authored 12 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Kathryn P. Kohl's work include DNA Repair Mechanisms (9 papers), CRISPR and Genetic Engineering (5 papers) and Chromosomal and Genetic Variations (3 papers). Kathryn P. Kohl is often cited by papers focused on DNA Repair Mechanisms (9 papers), CRISPR and Genetic Engineering (5 papers) and Chromosomal and Genetic Variations (3 papers). Kathryn P. Kohl collaborates with scholars based in United States. Kathryn P. Kohl's co-authors include Jeff Sekelsky, Sabrina L. Andersen, Jeannine R. LaRocque, Dan T. Bergstralh, Chris B. Moore, Corbin D. Jones, Nadia D. Singh, Susan McMahan, Erin S. Keebaugh and Todd A. Schlenke and has published in prestigious journals such as Science, Molecular Cell and Current Biology.

In The Last Decade

Kathryn P. Kohl

12 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn P. Kohl United States 9 346 112 111 61 49 12 424
Mara Schvarzstein United States 13 459 1.3× 113 1.0× 96 0.9× 124 2.0× 27 0.6× 17 639
Sandra L. Schnakenberg United States 5 486 1.4× 171 1.5× 115 1.0× 76 1.2× 34 0.7× 5 616
Sunil Jayaramaiah Raja Germany 8 344 1.0× 133 1.2× 94 0.8× 17 0.3× 17 0.3× 8 405
Gioacchino Palumbo Italy 10 433 1.3× 132 1.2× 250 2.3× 23 0.4× 30 0.6× 13 533
Edward J. Vonarx Australia 12 417 1.2× 57 0.5× 231 2.1× 22 0.4× 80 1.6× 14 525
Zhan Yu Canada 5 329 1.0× 52 0.5× 59 0.5× 65 1.1× 16 0.3× 5 400
Chung-Yi Nien United States 8 759 2.2× 134 1.2× 202 1.8× 37 0.6× 50 1.0× 8 846
Weili Cai United States 16 435 1.3× 51 0.5× 181 1.6× 68 1.1× 16 0.3× 36 551
Marnie E. Gelbart United States 9 689 2.0× 192 1.7× 209 1.9× 27 0.4× 43 0.9× 9 755
Arturo C. Verrotti Italy 14 605 1.7× 123 1.1× 49 0.4× 63 1.0× 25 0.5× 18 687

Countries citing papers authored by Kathryn P. Kohl

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn P. Kohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn P. Kohl. 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 Kathryn P. Kohl. The network helps show where Kathryn P. Kohl may publish in the future.

Co-authorship network of co-authors of Kathryn P. Kohl

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn P. Kohl. A scholar is included among the top collaborators of Kathryn P. Kohl 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 Kathryn P. Kohl. Kathryn P. Kohl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kohl, Kathryn P., et al.. (2022). The Drosophila Mutagen-Sensitivity Gene mus109 Encodes DmDNA2. Genes. 13(2). 312–312. 2 indexed citations
2.
Kohl, Kathryn P., et al.. (2019). Meiotic MCM Proteins Promote and Inhibit Crossovers During Meiotic Recombination. Genetics. 212(2). 461–468. 11 indexed citations
4.
Hatkevich, Talia, et al.. (2016). Bloom Syndrome Helicase Promotes Meiotic Crossover Patterning and Homolog Disjunction. Current Biology. 27(1). 96–102. 38 indexed citations
5.
Singh, Nadia D., et al.. (2015). Fruit flies diversify their offspring in response to parasite infection. Science. 349(6249). 747–750. 52 indexed citations
6.
Kuo, Hung‐Che, Susan McMahan, Christopher Rota, Kathryn P. Kohl, & Jeff Sekelsky. (2014). Drosophila FANCM Helicase Prevents Spontaneous Mitotic Crossovers Generated by the MUS81 and SLX1 Nucleases. Genetics. 198(3). 935–945. 18 indexed citations
7.
McMahan, Susan, Kathryn P. Kohl, & Jeff Sekelsky. (2013). Variation in Meiotic Recombination Frequencies Between Allelic Transgenes Inserted at Different Sites in theDrosophila melanogasterGenome. G3 Genes Genomes Genetics. 3(8). 1419–1427. 8 indexed citations
8.
LaFave, Matthew C., et al.. (2013). Sources and Structures of Mitotic Crossovers That Arise When BLM Helicase Is Absent inDrosophila. Genetics. 196(1). 107–118. 12 indexed citations
9.
Kohl, Kathryn P. & Jeff Sekelsky. (2013). Meiotic and Mitotic Recombination in Meiosis. Genetics. 194(2). 327–334. 70 indexed citations
10.
Kohl, Kathryn P., Corbin D. Jones, & Jeff Sekelsky. (2012). Evolution of an MCM Complex in Flies That Promotes Meiotic Crossovers by Blocking BLM Helicase. Science. 338(6112). 1363–1365. 51 indexed citations
11.
Collins, Kimberly A., et al.. (2012). A Germline Clone Screen on theXChromosome Reveals Novel Meiotic Mutants inDrosophila melanogaster. G3 Genes Genomes Genetics. 2(11). 1369–1377. 7 indexed citations
12.
Andersen, Sabrina L., Dan T. Bergstralh, Kathryn P. Kohl, et al.. (2009). Drosophila MUS312 and the Vertebrate Ortholog BTBD12 Interact with DNA Structure-Specific Endonucleases in DNA Repair and Recombination. Molecular Cell. 35(1). 128–135. 143 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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