Katherine McJunkin

2.7k total citations · 1 hit paper
27 papers, 1.9k citations indexed

About

Katherine McJunkin is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, Katherine McJunkin has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Cancer Research and 11 papers in Aging. Recurrent topics in Katherine McJunkin's work include MicroRNA in disease regulation (18 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and CRISPR and Genetic Engineering (8 papers). Katherine McJunkin is often cited by papers focused on MicroRNA in disease regulation (18 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and CRISPR and Genetic Engineering (8 papers). Katherine McJunkin collaborates with scholars based in United States, Australia and Switzerland. Katherine McJunkin's co-authors include Johannes Zuber, Scott W. Lowe, Gregory J. Hannon, Carlo Battiston, Anne Dejean, Pascal Pineau, Stefano Volinia, Agnès Marchio, Benoı̂t Terris and Vincenzo Mazzaferro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Katherine McJunkin

26 papers receiving 1.8k 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.

miR-221 overexpression contributes to liver tumorigenesis

2009 606 citations Pascal Pineau, Stefano Volinia et al. Proceedings of the National Academy of Sciences profile →

Peers

Katherine McJunkin

ONCOL

GENET

AGING

Roberta Benetti Italy

Boqiang Hu China

Mike Byrom United States

Jaclyn Shingara United States

Stephan Emmrich Germany

Kristy Reinert United States

Irina Naguibneva France

Jill Magnus United States

Chryssa Kanellopoulou United States

Rolf Thermann Germany

Roberta Benetti Italy

Katherine McJunkin

1.6k ×1.1

531 ×0.5

194 ×1.1

ONCOL

130 ×0.9

GENET

108 ×0.8

AGING

Citations per year, relative to Katherine McJunkin Katherine McJunkin (= 1×) peers Roberta Benetti

Countries citing papers authored by Katherine McJunkin

Since Specialization

Citations

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

Fields of papers citing papers by Katherine McJunkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine McJunkin

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

All Works

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20 of 20 papers shown

Yu, Guoyun, et al.. (2025). A noncanonical Pol III-dependent, Microprocessor-independent biogenesis pathway generates a germline-enriched miRNA family. Genes & Development. 39(19-20). 1198–1218. 1 indexed citations

Yang, Bing, et al.. (2025). An intrinsically disordered region of Drosha selectively promotes miRNA biogenesis independent of tissue-specific Microprocessor condensates. Genes & Development. 40(1-2). 26–42.

Yang, Bing, et al.. (2024). Catalytic residues of microRNA Argonautes play a modest role in microRNA star strand destabilization in C. elegans. Nucleic Acids Research. 52(9). 4985–5001. 2 indexed citations

McJunkin, Katherine & Susan Gottesman. (2024). What goes up must come down: off switches for regulatory RNAs. Genes & Development. 38(13-14). 597–613. 1 indexed citations

McJunkin, Katherine, et al.. (2023). Recent advances in understanding microRNA function and regulation in C. elegans. Seminars in Cell and Developmental Biology. 154(Pt A). 4–13. 4 indexed citations

Galletta, Brian J., Carey J. Fagerstrom, Bing Yang, et al.. (2023). The E3 ligase Poe promotes Pericentrin degradation. Molecular Biology of the Cell. 34(9). br15–br15. 1 indexed citations

Yang, Bing, et al.. (2022). The developmentally timed decay of an essential microRNA family is seed-sequence dependent. Cell Reports. 40(6). 111154–111154. 28 indexed citations

Palmer, Cameron D., et al.. (2021). Screening by deep sequencing reveals mediators of microRNA tailing in C. elegans. Nucleic Acids Research. 49(19). 11167–11180. 20 indexed citations

Yang, Bing, Matthew L. Schwartz, & Katherine McJunkin. (2020). In vivo CRISPR screening for phenotypic targets of the mir-35-42 family in C. elegans. Genes & Development. 34(17-18). 1227–1238. 19 indexed citations

10.

Yang, Bing & Katherine McJunkin. (2020). CRISPR screening strategies for microRNA target identification. FEBS Journal. 287(14). 2914–2922. 13 indexed citations

11.

McJunkin, Katherine, et al.. (2019). The mir-35 Family Links Maternal Germline Sex to Embryonic Viability in Caenorhabditis elegans. G3 Genes Genomes Genetics. 9(3). 901–909. 6 indexed citations

12.

McJunkin, Katherine & Victor Ambros. (2017). A microRNA family exerts maternal control on sex determination in C. elegans. Genes & Development. 31(4). 422–437. 40 indexed citations

13.

McJunkin, Katherine, et al.. (2017). miRNAs cooperate in apoptosis regulation during C. elegans development. Genes & Development. 31(2). 209–222. 39 indexed citations

14.

Jannot, Guillaume, et al.. (2016). GW182-Free microRNA Silencing Complex Controls Post-transcriptional Gene Expression during Caenorhabditis elegans Embryogenesis. PLoS Genetics. 12(12). e1006484–e1006484. 27 indexed citations

15.

McJunkin, Katherine & Victor Ambros. (2014). The Embryonicmir-35Family of microRNAs Promotes Multiple Aspects of Fecundity inCaenorhabditis elegans. G3 Genes Genomes Genetics. 4(9). 1747–1754. 47 indexed citations

16.

Fellmann, Christof, Johannes Zuber, Katherine McJunkin, et al.. (2011). Functional Identification of Optimized RNAi Triggers Using a Massively Parallel Sensor Assay. Molecular Cell. 41(6). 733–746. 166 indexed citations

17.

Mavrakis, Konstantinos J., Andrew L. Wolfe, Elisa Oricchio, et al.. (2010). Genome-wide RNA-mediated interference screen identifies miR-19 targets in Notch-induced T-cell acute lymphoblastic leukaemia. Nature Cell Biology. 12(4). 372–379. 275 indexed citations

18.

Zuber, Johannes, Katherine McJunkin, Christof Fellmann, et al.. (2010). Toolkit for evaluating genes required for proliferation and survival using tetracycline-regulated RNAi. Nature Biotechnology. 29(1). 79–83. 193 indexed citations

19.

Pineau, Pascal, Stefano Volinia, Katherine McJunkin, et al.. (2009). miR-221 overexpression contributes to liver tumorigenesis. Proceedings of the National Academy of Sciences. 107(1). 264–269. 606 indexed citations breakdown →

20.

Dickins, Ross A., Katherine McJunkin, Eva Hernando, et al.. (2007). Tissue-specific and reversible RNA interference in transgenic mice. Nature Genetics. 39(7). 914–921. 139 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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