Colin C. Conine

3.0k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

Colin C. Conine is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, Colin C. Conine has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Aging. Recurrent topics in Colin C. Conine's work include RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and MicroRNA in disease regulation (4 papers). Colin C. Conine is often cited by papers focused on RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and MicroRNA in disease regulation (4 papers). Colin C. Conine collaborates with scholars based in United States, Australia and Germany. Colin C. Conine's co-authors include Oliver J. Rando, Fengyun Sun, Lina Song, Craig C. Mello, Upasna Sharma, Jaime A. Rivera‐Pérez, Ryan W. Serra, Alper Küçükural, Xinyang Bing and Weifeng Gu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Colin C. Conine

16 papers receiving 1.9k 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.

Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals

2015 877 citations Upasna Sharma, Colin C. Conine et al. Science profile →

Peers

Colin C. Conine

AGING

PHEOH

Valérie Grandjean France

Fengyun Sun United States

Lucas Fauquier France

Ana Bošković United States

Junchao Shi China

Jingjing Qian China

Xinyang Bing United States

Hongying Peng China

Huijuan Shi China

Stefanie Seisenberger United Kingdom

Valérie Grandjean France

Colin C. Conine

1.8k ×1.2

535 ×1.1

296 ×0.8

79 ×0.3

AGING

294 ×1.1

PHEOH

Citations per year, relative to Colin C. Conine Colin C. Conine (= 1×) peers Valérie Grandjean

Countries citing papers authored by Colin C. Conine

Since Specialization

Citations

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

Fields of papers citing papers by Colin C. Conine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin C. Conine. 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 Colin C. Conine. The network helps show where Colin C. Conine may publish in the future.

Co-authorship network of co-authors of Colin C. Conine

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

All Works

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19 of 19 papers shown

Gillespie, Louis J., Jacinta H. Martin, Amanda L. Anderson, et al.. (2025). Exposure of mice to environmentally relevant per- and polyfluoroalkyl substances (PFAS) alters the sperm epigenome. Communications Biology. 8(1). 1487–1487.

Trigg, Natalie A., et al.. (2025). Protocol to assess the impact of sperm RNA on mouse preimplantation embryos using microinjection. STAR Protocols. 6(2). 103772–103772.

Mani, Sneha, Rebecca L. Linn, Rita Leite, et al.. (2025). Extracellular Vesicles Alter Trophoblast Function in Pregnancies Complicated by COVID‐19. Journal of Extracellular Vesicles. 14(4). e70051–e70051.

Trigg, Natalie A., et al.. (2025). A lack of commensal microbiota influences the male reproductive tract intergenerationally in mice. Reproduction. 169(4). 2 indexed citations

Trigg, Natalie A. & Colin C. Conine. (2024). Epididymal acquired sperm microRNAs modify post-fertilization embryonic gene expression. Cell Reports. 43(9). 114698–114698. 10 indexed citations

Trigg, Natalie A., John E. Schjenken, Jacinta H. Martin, et al.. (2024). Subchronic elevation in ambient temperature drives alterations to the sperm epigenome and accelerates early embryonic development in mice. Proceedings of the National Academy of Sciences. 121(47). e2409790121–e2409790121. 11 indexed citations

Trigg, Natalie A., et al.. (2024). A ligation-independent sequencing method reveals tRNA-derived RNAs with blocked 3′ termini. Molecular Cell. 84(19). 3843–3859.e8. 8 indexed citations

Trigg, Natalie A., Yuichi Yokoyama, Lenka Dohnalová, et al.. (2024). The microbiota and T cells non-genetically modulate inherited phenotypes transgenerationally. Cell Reports. 43(4). 114029–114029. 6 indexed citations

Trigg, Natalie A., et al.. (2022). Cloning and Sequencing Eukaryotic Small RNAs. Current Protocols. 2(8). e495–e495. 4 indexed citations

10.

Conine, Colin C., et al.. (2022). The Transmission of Intergenerational Epigenetic Information by Sperm microRNAs. Epigenomes. 6(2). 12–12. 26 indexed citations

11.

Galan, Carolina, Ryan W. Serra, Fengyun Sun, et al.. (2021). Stability of the cytosine methylome during post-testicular sperm maturation in mouse. PLoS Genetics. 17(3). e1009416–e1009416. 18 indexed citations

12.

Conine, Colin C. & Oliver J. Rando. (2021). Soma-to-germline RNA communication. Nature Reviews Genetics. 23(2). 73–88. 47 indexed citations

13.

Rando, Oliver J., et al.. (2018). Effects of Larval Density on Gene Regulation in Caenorhabditis elegans During Routine L1 Synchronization. G3 Genes Genomes Genetics. 8(5). 1787–1793. 7 indexed citations

14.

Conine, Colin C., Fengyun Sun, Lina Song, Jaime A. Rivera‐Pérez, & Oliver J. Rando. (2018). Small RNAs Gained during Epididymal Transit of Sperm Are Essential for Embryonic Development in Mice. Developmental Cell. 46(4). 470–480.e3. 234 indexed citations

15.

Sharma, Upasna, Fengyun Sun, Colin C. Conine, et al.. (2018). Small RNAs Are Trafficked from the Epididymis to Developing Mammalian Sperm. Developmental Cell. 46(4). 481–494.e6. 281 indexed citations

16.

Sharma, Upasna, Colin C. Conine, Jeremy M. Shea, et al.. (2015). Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals. Science. 351(6271). 391–396. 877 indexed citations breakdown →

17.

Conine, Colin C., James J. Moresco, Weifeng Gu, et al.. (2013). Argonautes Promote Male Fertility and Provide a Paternal Memory of Germline Gene Expression in C. elegans. Cell. 155(7). 1532–1544. 130 indexed citations

18.

Arda, H. Efsun, Stefan Taubert, Lesley T. MacNeil, et al.. (2010). Functional modularity of nuclear hormone receptors in a Caenorhabditis elegans metabolic gene regulatory network. Molecular Systems Biology. 6(1). 367–367. 83 indexed citations

19.

Conine, Colin C., Pedro J. Batista, Weifeng Gu, et al.. (2010). Argonautes ALG-3 and ALG-4 are required for spermatogenesis-specific 26G-RNAs and thermotolerant sperm in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 107(8). 3588–3593. 176 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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