Andrew Fire

53.6k total citations · 16 hit papers
177 papers, 36.6k citations indexed

About

Andrew Fire is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Andrew Fire has authored 177 papers receiving a total of 36.6k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Molecular Biology, 76 papers in Aging and 26 papers in Genetics. Recurrent topics in Andrew Fire's work include CRISPR and Genetic Engineering (78 papers), Genetics, Aging, and Longevity in Model Organisms (76 papers) and RNA Research and Splicing (25 papers). Andrew Fire is often cited by papers focused on CRISPR and Genetic Engineering (78 papers), Genetics, Aging, and Longevity in Model Organisms (76 papers) and RNA Research and Splicing (25 papers). Andrew Fire collaborates with scholars based in United States, Canada and United Kingdom. Andrew Fire's co-authors include Craig C. Mello, Mary K. Montgomery, Siqun Xu, Lisa Timmons, Susan Parrish, Phillip A. Sharp, Donald L. Court, William G. Kelly, Mark Samuels and Sheng‐Quan Xu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Andrew Fire

176 papers receiving 35.6k citations

Hit Papers

Potent and specific genetic interference by double-s... 1980 2026 1995 2010 1998 2001 2001 1980 1999 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Fire United States 76 28.6k 9.1k 5.3k 4.6k 4.3k 177 36.6k
Craig C. Mello United States 55 21.6k 0.8× 6.7k 0.7× 5.0k 0.9× 4.1k 0.9× 2.7k 0.6× 95 26.4k
Ronald H.A. Plasterk Netherlands 90 23.7k 0.8× 5.3k 0.6× 5.3k 1.0× 9.0k 2.0× 4.4k 1.0× 193 31.6k
Victor Ambros United States 55 31.8k 1.1× 6.1k 0.7× 4.0k 0.8× 25.2k 5.5× 1.9k 0.4× 107 42.0k
Woodring E. Wright United States 99 28.4k 1.0× 4.4k 0.5× 2.1k 0.4× 2.4k 0.5× 4.1k 0.9× 294 43.5k
H. Robert Horvitz United States 107 31.7k 1.1× 21.2k 2.3× 2.8k 0.5× 12.6k 2.8× 3.0k 0.7× 252 51.6k
Calvin B. Harley United States 53 18.7k 0.7× 3.9k 0.4× 1.8k 0.3× 1.3k 0.3× 3.4k 0.8× 112 33.5k
Feng Zhang United States 86 76.6k 2.7× 4.6k 0.5× 7.7k 1.5× 4.0k 0.9× 14.9k 3.4× 181 85.6k
R Waterston United States 74 11.9k 0.4× 6.6k 0.7× 2.6k 0.5× 553 0.1× 3.3k 0.8× 155 17.3k
Eric A. Miska United Kingdom 65 25.2k 0.9× 2.1k 0.2× 2.7k 0.5× 15.9k 3.5× 2.8k 0.6× 161 31.6k
Yang Shi United States 94 30.9k 1.1× 1.5k 0.2× 1.7k 0.3× 7.1k 1.6× 4.8k 1.1× 205 36.6k

Countries citing papers authored by Andrew Fire

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Fire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Fire

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

All Works

20 of 20 papers shown
1.
Ambros, Victor, Martin Chalfie, Andrew Fire, et al.. (2025). From nematode to Nobel: How community-shared resources fueled the rise of Caenorhabditis elegans as a research organism. Proceedings of the National Academy of Sciences. 122(48). e2522808122–e2522808122. 1 indexed citations
2.
Shoura, Massa J., et al.. (2022). Context-dependent DNA polymerization effects can masquerade as DNA modification signals. BMC Genomics. 23(1). 249–249. 2 indexed citations
3.
Wahba, Lamia, Nimit Jain, Andrew Fire, et al.. (2020). An Extensive Meta-Metagenomic Search Identifies SARS-CoV-2-Homologous Sequences in Pangolin Lung Viromes. mSphere. 5(3). 42 indexed citations
4.
Wolf, Yuri I., Sukrit Silas, Yongjie Wang, et al.. (2020). Doubling of the known set of RNA viruses by metagenomic analysis of an aquatic virome. Nature Microbiology. 5(10). 1262–1270. 153 indexed citations
5.
Jain, Nimit, Lucas R. Blauch, Michał R. Szymański, et al.. (2020). Transcription polymerase–catalyzed emergence of novel RNA replicons. Science. 368(6487). 19 indexed citations
6.
Shoura, Massa J., et al.. (2019). Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications. Nucleic Acids Research. 47(16). e92–e92. 9 indexed citations
7.
Artiles, Karen L., Andrew Fire, & Christian Frøkjær‐Jensen. (2019). Assessment and Maintenance of Unigametic Germline Inheritance for C. elegans. Developmental Cell. 48(6). 827–839.e9. 16 indexed citations
8.
Shoura, Massa J., Idan Gabdank, Loren Hansen, et al.. (2017). Intricate and Cell Type-Specific Populations of Endogenous Circular DNA (eccDNA) in Caenorhabditis elegans and Homo sapiens. G3 Genes Genomes Genetics. 7(10). 3295–3303. 79 indexed citations
9.
Stadler, Michael & Andrew Fire. (2013). Conserved Translatome Remodeling in Nematode Species Executing a Shared Developmental Transition. PLoS Genetics. 9(10). e1003739–e1003739. 36 indexed citations
10.
Pak, Julia, Jay M. Maniar, Cecilia C. Mello, & Andrew Fire. (2012). Protection from Feed-Forward Amplification in an Amplified RNAi Mechanism. Cell. 151(4). 885–899. 63 indexed citations
11.
Valouev, Anton, Steven Johnson, Scott D. Boyd, et al.. (2011). Determinants of nucleosome organization in primary human cells. Nature. 474(7352). 516–520. 482 indexed citations
13.
Haussecker, Dirk, Yong Huang, Ashley Lau, et al.. (2010). Human tRNA-derived small RNAs in the global regulation of RNA silencing. RNA. 16(4). 673–695. 574 indexed citations breakdown →
14.
Sasaki, Shin, Cecilia C. Mello, Atsuko Shimada, et al.. (2008). Chromatin-Associated Periodicity in Genetic Variation Downstream of Transcriptional Start Sites. Science. 323(5912). 401–404. 104 indexed citations
15.
Lui, Weng‐Onn, Nader Pourmand, Bruce K. Patterson, & Andrew Fire. (2007). Patterns of Known and Novel Small RNAs in Human Cervical Cancer. Cancer Research. 67(13). 6031–6043. 376 indexed citations
16.
Parameswaran, Poornima, Roxana Jalili, Li Tao, et al.. (2007). A pyrosequencing-tailored nucleotide barcode design unveils opportunities for large-scale sample multiplexing. Nucleic Acids Research. 35(19). e130–e130. 271 indexed citations
17.
Fire, Andrew, Rosa Alcazar, & Frederick J. Tan. (2006). Unusual DNA Structures Associated With Germline Genetic Activity in Caenorhabditis elegans. Genetics. 173(3). 1259–1273. 51 indexed citations
18.
Pak, Julia & Andrew Fire. (2006). Distinct Populations of Primary and Secondary Effectors During RNAi in C. elegans. Science. 315(5809). 241–244. 462 indexed citations breakdown →
19.
Timmons, Lisa, Hiroaki Tabara, Craig C. Mello, & Andrew Fire. (2003). Inducible Systemic RNA Silencing in Caenorhabditis elegans. Molecular Biology of the Cell. 14(7). 2972–2983. 108 indexed citations
20.
Moerman, Donald G. & Andrew Fire. (1997). 16 Muscle: Structure, Function, and Development. Cold Spring Harbor Monograph Archive. 33. 417–470. 3 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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