Dona Kanavy

1.1k total citations · 1 hit paper
8 papers, 532 citations indexed

About

Dona Kanavy is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Dona Kanavy has authored 8 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Dona Kanavy's work include Animal Ecology and Behavior Studies (2 papers), Genomics and Rare Diseases (2 papers) and CRISPR and Genetic Engineering (2 papers). Dona Kanavy is often cited by papers focused on Animal Ecology and Behavior Studies (2 papers), Genomics and Rare Diseases (2 papers) and CRISPR and Genetic Engineering (2 papers). Dona Kanavy collaborates with scholars based in United States, United Kingdom and New Zealand. Dona Kanavy's co-authors include Shannon McNulty, Sarah E. Brnich, Jonathan S. Berg, Christopher D. Heinen, Xi Luo, Fergus J. Couch, Steven M. Harrison, Matt W. Wright, Leslie G. Biesecker and Garry R. Cutting and has published in prestigious journals such as Trends in Ecology & Evolution, Cancer Research and Genome Medicine.

In The Last Decade

Dona Kanavy

8 papers receiving 522 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework

2019 310 citations Sarah E. Brnich, Ahmad Abou Tayoun et al. Genome Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dona Kanavy United States	5	288	273	59	52	46	8	532
Shannon Hateley United States	6	258 0.9×	350 1.3×	45 0.8×	72 1.4×	113 2.5×	8	797
Vanessa L. Horner United States	16	426 1.5×	221 0.8×	59 1.0×	52 1.0×	71 1.5×	34	852
Linea Cecilie Melchior Denmark	18	300 1.0×	222 0.8×	108 1.8×	145 2.8×	25 0.5×	64	1.1k
Arbel Harpak United States	11	310 1.1×	544 2.0×	26 0.4×	115 2.2×	40 0.9×	20	857
Søren Besenbacher Denmark	15	383 1.3×	379 1.4×	41 0.7×	115 2.2×	153 3.3×	31	817
Sharon Lane Australia	12	232 0.8×	113 0.4×	38 0.6×	22 0.4×	28 0.6×	17	451
Mathew A. Sloane Australia	14	548 1.9×	232 0.8×	89 1.5×	134 2.6×	89 1.9×	21	841
Jana Růžičková Czechia	12	179 0.6×	58 0.2×	99 1.7×	38 0.7×	26 0.6×	43	484
Chikako Matsuba United States	16	509 1.8×	391 1.4×	66 1.1×	201 3.9×	64 1.4×	32	1.0k
Max Kauer Austria	12	324 1.1×	407 1.5×	31 0.5×	46 0.9×	124 2.7×	14	869

Countries citing papers authored by Dona Kanavy

Since Specialization

Citations

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

Fields of papers citing papers by Dona Kanavy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dona Kanavy. 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 Dona Kanavy. The network helps show where Dona Kanavy may publish in the future.

Co-authorship network of co-authors of Dona Kanavy

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Hoadley, Katherine A., Bradford C. Powell, Dona Kanavy, et al.. (2020). Abstract P4-05-03: Mutational analysis of triple-negative breast cancer (TNBC): CALGB 40603 (Alliance). Cancer Research. 80(4_Supplement). P4–5. 2 indexed citations

2.

Kanavy, Dona, Shannon McNulty, Sarah E. Brnich, et al.. (2019). Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels. Genome Medicine. 11(1). 77–77. 33 indexed citations

3.

Brnich, Sarah E., Ahmad Abou Tayoun, Fergus J. Couch, et al.. (2019). Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework. Genome Medicine. 12(1). 3–3. 310 indexed citations breakdown →

4.

Campbell, Karl J., J. Royden Saah, Peter Brown, et al.. (2019). A potential new tool for the toolbox: assessing gene drives foreradicating invasive rodent populations. 1 indexed citations

5.

Kanavy, Dona. (2018). Genetic Pest Management Technologies to Control Invasive Rodents.. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations

6.

Kanavy, Dona, et al.. (2017). Developing gene drive technologies to eradicate invasive rodents from islands. Journal of Responsible Innovation. 5(sup1). S121–S138. 53 indexed citations

7.

Piaggio, Antoinette J., Gernot Segelbacher, Philip J. Seddon, et al.. (2016). Is It Time for Synthetic Biodiversity Conservation?. Trends in Ecology & Evolution. 32(2). 97–107. 124 indexed citations

8.

Khatun, Jainab, et al.. (2013). Comparative Genome Analysis of Ciprofloxacin-Resistant Pseudomonas aeruginosa Reveals Genes Within Newly Identified High Variability Regions Associated With Drug Resistance Development. Microbial Drug Resistance. 19(6). 428–436. 7 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.

Explore authors with similar magnitude of impact