Hanna Retallack

2.6k total citations · 2 hit papers
19 papers, 1.5k citations indexed

About

Hanna Retallack is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Hanna Retallack has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Plant Science. Recurrent topics in Hanna Retallack's work include Plant Virus Research Studies (4 papers), Virology and Viral Diseases (3 papers) and AI in cancer detection (3 papers). Hanna Retallack is often cited by papers focused on Plant Virus Research Studies (4 papers), Virology and Viral Diseases (3 papers) and AI in cancer detection (3 papers). Hanna Retallack collaborates with scholars based in United States, Norway and Canada. Hanna Retallack's co-authors include Joseph L. DeRisi, Tomasz J. Nowakowski, Alex A. Pollen, Carmen Sandoval-Espinosa, Arnold R. Kriegstein, Jay West, Jiadong Chen, Michael C. Oldham, Cory R. Nicholas and Siyuan Liu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neurology.

In The Last Decade

Hanna Retallack

19 papers receiving 1.5k citations

Hit Papers

Molecular Identity of Human Outer Radial Glia during Cort... 2015 2026 2018 2022 2015 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanna Retallack United States 14 686 348 306 224 173 19 1.5k
Rodrigo Madeiro da Costa Brazil 16 587 0.9× 400 1.1× 549 1.8× 135 0.6× 261 1.5× 27 1.5k
Feiran Zhang China 10 479 0.7× 516 1.5× 723 2.4× 47 0.2× 315 1.8× 21 1.4k
Graham Speight Australia 17 401 0.6× 360 1.0× 396 1.3× 50 0.2× 180 1.0× 28 1.2k
Thierry Lefrançois France 22 270 0.4× 345 1.0× 426 1.4× 79 0.4× 259 1.5× 82 1.5k
Dan Xu China 15 348 0.5× 390 1.1× 526 1.7× 43 0.2× 278 1.6× 44 1.3k
Jacob Souopgui Belgium 17 732 1.1× 289 0.8× 89 0.3× 48 0.2× 71 0.4× 61 1.2k
Luiza M. Higa Brazil 12 436 0.6× 831 2.4× 977 3.2× 85 0.4× 325 1.9× 31 1.7k
M. Keith Howard United Kingdom 20 550 0.8× 288 0.8× 354 1.2× 26 0.1× 620 3.6× 44 1.5k
Markus Keller Germany 23 629 0.9× 778 2.2× 567 1.9× 26 0.1× 93 0.5× 67 2.5k

Countries citing papers authored by Hanna Retallack

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Retallack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Retallack

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

All Works

19 of 19 papers shown
1.
Sunshine, Sara, Andreas S. Puschnik, Hanna Retallack, et al.. (2025). Defining the host dependencies and the transcriptional landscape of RSV infection. mBio. 16(9). e0101025–e0101025. 1 indexed citations
2.
Popova, Galina, Hanna Retallack, Chang N. Kim, et al.. (2023). Rubella virus tropism and single-cell responses in human primary tissue and microglia-containing organoids. eLife. 12. 1 indexed citations
3.
Popova, Galina, Hanna Retallack, Chang N. Kim, et al.. (2023). Rubella virus tropism and single-cell responses in human primary tissue and microglia-containing organoids. eLife. 12. 14 indexed citations
4.
Batson, Joshua, Gytis Dudas, Eric J. Haas-Stapleton, et al.. (2021). Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay. eLife. 10. 74 indexed citations
5.
Retallack, Hanna, Katerina D. Popova, Matthew T. Laurie, Sara Sunshine, & Joseph L. DeRisi. (2021). Persistence of Ambigrammatic Narnaviruses Requires Translation of the Reverse Open Reading Frame. Journal of Virology. 95(13). e0010921–e0010921. 26 indexed citations
6.
DeRisi, Joseph L., Greg Huber, Amy Kistler, et al.. (2019). An exploration of ambigrammatic sequences in narnaviruses. Scientific Reports. 9(1). 17982–17982. 26 indexed citations
7.
Mandel‐Brehm, Caleigh, Hanna Retallack, Giselle M. Knudsen, et al.. (2019). Exploratory proteomic analysis implicates the alternative complement cascade in primary CNS vasculitis. Neurology. 93(5). 15 indexed citations
8.
Retallack, Hanna, Susan Clubb, & Joseph L. DeRisi. (2019). Genome Sequence of a Divergent Avian Metapneumovirus from a Monk Parakeet ( Myiopsitta monachus ). Microbiology Resource Announcements. 8(16). 28 indexed citations
11.
Aminololama‐Shakeri, Shadi, Chris I. Flowers, Christine E. McLaren, et al.. (2017). Can Radiologists Predict the Presence of Ductal Carcinoma In Situ and Invasive Breast Cancer?. American Journal of Roentgenology. 208(4). 933–939. 5 indexed citations
12.
Chatwood, Susan, Ketil Lenert Hansen, Heidi Eriksen, et al.. (2017). Indigenous Values and Health Systems Stewardship in Circumpolar Countries. International Journal of Environmental Research and Public Health. 14(12). 1462–1462. 28 indexed citations
13.
Gu, Wei, Emily Crawford, Brian D. O’Donovan, et al.. (2016). Depletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications. Genome biology. 17(1). 41–41. 220 indexed citations
14.
Lee, Amie Y., Dorota J. Wisner, Shadi Aminololama‐Shakeri, et al.. (2016). Inter-reader Variability in the Use of BI-RADS Descriptors for Suspicious Findings on Diagnostic Mammography. Academic Radiology. 24(1). 60–66. 44 indexed citations
15.
Retallack, Hanna, Elizabeth Di Lullo, Carolina Arias, et al.. (2016). Zika virus cell tropism in the developing human brain and inhibition by azithromycin. Proceedings of the National Academy of Sciences. 113(50). 14408–14413. 365 indexed citations breakdown →
16.
Engelberg, Jesse A., Hanna Retallack, Ronald Balassanian, et al.. (2015). “Score the Core” Web-based pathologist training tool improves the accuracy of breast cancer IHC4 scoring. Human Pathology. 46(11). 1694–1704. 11 indexed citations
17.
Pollen, Alex A., Tomasz J. Nowakowski, Jiadong Chen, et al.. (2015). Molecular Identity of Human Outer Radial Glia during Cortical Development. Cell. 163(1). 55–67. 556 indexed citations breakdown →
18.
Chatwood, Susan, Ross Baker, Ketil Lenert Hansen, et al.. (2015). Approaching Etuaptmumk – introducing a consensus-based mixed method for health services research. International Journal of Circumpolar Health. 74(1). 27438–27438. 30 indexed citations
19.
Wells, Colin, Cristina O’Donoghue, Haydee Ojeda‐Fournier, Hanna Retallack, & Laura J. Esserman. (2013). Evolving Paradigm for Imaging, Diagnosis, and Management of DCIS. Journal of the American College of Radiology. 10(12). 918–923. 11 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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