Susan Parrish

6.4k total citations · 3 hit papers
13 papers, 4.5k citations indexed

About

Susan Parrish is a scholar working on Molecular Biology, Virology and Ecology. According to data from OpenAlex, Susan Parrish has authored 13 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Virology and 3 papers in Ecology. Recurrent topics in Susan Parrish's work include CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (4 papers) and Virus-based gene therapy research (3 papers). Susan Parrish is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (4 papers) and Virus-based gene therapy research (3 papers). Susan Parrish collaborates with scholars based in United States, Netherlands and Canada. Susan Parrish's co-authors include Andrew Fire, Craig C. Mello, Femke Simmer, Ronald H.A. Plasterk, Farhad Imani, Richard A. Morgan, Natasha J. Caplen, Darryl Conte, David L. Baillie and Amy E. Pasquinelli and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Susan Parrish

13 papers receiving 4.4k citations

Hit Papers

Genes and Mechanisms Related to RNA Interference Regulate... 2001 2026 2009 2017 2001 2001 2001 400 800 1.2k
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.

  1. Genes and Mechanisms Related to RNA Interference Regulate Expression of the Small Temporal RNAs that Control C. elegans Developmental Timing
    2001 1.5k citations Alla Grishok, Amy E. Pasquinelli et al. Cell profile →
  2. On the Role of RNA Amplification in dsRNA-Triggered Gene Silencing
    2001 971 citations Titia Sijen, Femke Simmer et al. Cell profile →
  3. Specific inhibition of gene expression by small double-stranded RNAs in invertebrate and vertebrate systems
    2001 848 citations Natasha J. Caplen, Susan Parrish et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Parrish United States 10 3.6k 1.1k 901 880 477 13 4.5k
Darryl Conte United States 24 5.4k 1.5× 1.4k 1.3× 2.0k 2.2× 1.6k 1.8× 518 1.1× 32 6.3k
Alla Grishok United States 17 3.2k 0.9× 1.0k 0.9× 1.0k 1.1× 874 1.0× 254 0.5× 31 3.8k
Weifeng Gu United States 27 3.8k 1.0× 600 0.5× 1.3k 1.5× 1.4k 1.6× 288 0.6× 41 4.6k
Lisa Timmons United States 18 3.1k 0.9× 248 0.2× 1.6k 1.8× 962 1.1× 309 0.6× 29 4.2k
Seung Woo Cho South Korea 16 6.5k 1.8× 691 0.6× 498 0.6× 1.2k 1.4× 1.3k 2.6× 25 7.0k
Kumiko Ui‐Tei Japan 34 3.9k 1.1× 952 0.9× 99 0.1× 501 0.6× 696 1.5× 105 5.0k
Hiroaki Tabara United States 8 2.1k 0.6× 241 0.2× 883 1.0× 683 0.8× 191 0.4× 11 2.5k
Rebecca M. Terns United States 43 6.6k 1.8× 460 0.4× 338 0.4× 476 0.5× 960 2.0× 64 7.2k
Julie M. Claycomb Canada 24 2.4k 0.7× 340 0.3× 1.1k 1.2× 848 1.0× 249 0.5× 38 2.9k
Mitzi I. Kuroda United States 51 8.2k 2.3× 2.1k 1.9× 299 0.3× 1.9k 2.2× 3.0k 6.3× 100 9.3k

Countries citing papers authored by Susan Parrish

Since Specialization
Citations

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

Fields of papers citing papers by Susan Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Parrish

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

All Works

13 of 13 papers shown
1.
Kago, Grace & Susan Parrish. (2021). The Mimivirus L375 Nudix enzyme hydrolyzes the 5’ mRNA cap. PLoS ONE. 16(9). e0245820–e0245820. 7 indexed citations
2.
Parrish, Susan, et al.. (2009). The African swine fever virus g5R protein possesses mRNA decapping activity. Virology. 393(1). 177–182. 30 indexed citations
3.
Parrish, Susan, Wolfgang Resch, & Bernard Moss. (2007). Vaccinia virus D10 protein has mRNA decapping activity, providing a mechanism for control of host and viral gene expression. Proceedings of the National Academy of Sciences. 104(7). 2139–2144. 99 indexed citations
4.
Parrish, Susan & Bernard Moss. (2007). Characterization of a Second Vaccinia Virus mRNA-Decapping Enzyme Conserved in Poxviruses. Journal of Virology. 81(23). 12973–12978. 88 indexed citations
5.
Parrish, Susan & Bernard Moss. (2005). Characterization of a Vaccinia Virus Mutant with a Deletion of the D10R Gene Encoding a Putative Negative Regulator of Gene Expression. Journal of Virology. 80(2). 553–561. 61 indexed citations
6.
Simmer, Femke, Marcel Tijsterman, Susan Parrish, et al.. (2002). Loss of the Putative RNA-Directed RNA Polymerase RRF-3 Makes C. elegans Hypersensitive to RNAi. Current Biology. 12(15). 1317–1319. 467 indexed citations
7.
Grishok, Alla, Amy E. Pasquinelli, Darryl Conte, et al.. (2001). Genes and Mechanisms Related to RNA Interference Regulate Expression of the Small Temporal RNAs that Control C. elegans Developmental Timing. Cell. 106(1). 23–34. 1497 indexed citations breakdown →
8.
Sijen, Titia, Femke Simmer, Karen L. Thijssen, et al.. (2001). On the Role of RNA Amplification in dsRNA-Triggered Gene Silencing. Cell. 107(4). 465–476. 971 indexed citations breakdown →
9.
Parrish, Susan & Andrew Fire. (2001). Distinct roles for RDE-1 and RDE-4 during RNA interference in Caenorhabditis elegans.. PubMed. 7(10). 1397–402. 116 indexed citations
10.
Caplen, Natasha J., Susan Parrish, Farhad Imani, Andrew Fire, & Richard A. Morgan. (2001). Specific inhibition of gene expression by small double-stranded RNAs in invertebrate and vertebrate systems. Proceedings of the National Academy of Sciences. 98(17). 9742–9747. 848 indexed citations breakdown →
11.
Parrish, Susan, et al.. (2000). Functional Anatomy of a dsRNA Trigger. Molecular Cell. 6(5). 1077–1087. 302 indexed citations
12.
Agarwal, Ameeta K., Susan Parrish, & Daphne D. Blumberg. (1999). Ribosomal protein gene expression is cell type specific during development in Dictyostelium discoideum. Differentiation. 65(2). 73–88. 7 indexed citations
13.
Parrish, Susan, et al.. (1995). Toxicology for Middle School: The Effect of Common Substances on Daphnia. Journal of Chemical Education. 72(1). 49–49. 2 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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