William Rennie

645 total citations
12 papers, 477 citations indexed

About

William Rennie is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, William Rennie has authored 12 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in William Rennie's work include MicroRNA in disease regulation (9 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). William Rennie is often cited by papers focused on MicroRNA in disease regulation (9 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). William Rennie collaborates with scholars based in United States and Canada. William Rennie's co-authors include Chaochun Liu, C. Steven Carmack, Ye Ding, Shaveta Kanoria, Jun Lü, Dang Long, Bibekanand Mallick, Ding Ye, Jijun Cheng and Wen Pan and has published in prestigious journals such as Nucleic Acids Research, Genome Research and RNA Biology.

In The Last Decade

William Rennie

12 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Rennie United States 10 412 292 44 25 25 12 477
Stephanie Kehr Germany 12 513 1.2× 264 0.9× 31 0.7× 27 1.1× 16 0.6× 16 587
Cencen Li China 12 389 0.9× 251 0.9× 80 1.8× 14 0.6× 18 0.7× 23 512
Lucy Kirkham United Kingdom 5 433 1.1× 198 0.7× 77 1.8× 17 0.7× 45 1.8× 8 495
Jonathan Toung United States 3 395 1.0× 95 0.3× 51 1.2× 13 0.5× 29 1.2× 3 461
Gaëlle J.S. Talhouarne United States 7 677 1.6× 300 1.0× 39 0.9× 19 0.8× 37 1.5× 7 741
Cristina Militti Spain 8 478 1.2× 81 0.3× 22 0.5× 18 0.7× 27 1.1× 8 521
Christian Much Germany 10 780 1.9× 364 1.2× 62 1.4× 10 0.4× 38 1.5× 15 901
Rena Mizutani Japan 7 574 1.4× 237 0.8× 27 0.6× 5 0.2× 28 1.1× 7 612
Emily Finnegan United States 4 224 0.5× 218 0.7× 16 0.4× 8 0.3× 22 0.9× 7 316
C. Fabián Flores‐Jasso Mexico 6 368 0.9× 217 0.7× 25 0.6× 16 0.6× 11 0.4× 8 401

Countries citing papers authored by William Rennie

Since Specialization
Citations

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

Fields of papers citing papers by William Rennie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Rennie

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

All Works

12 of 12 papers shown
1.
Kanoria, Shaveta, William Rennie, C. Steven Carmack, Jun Lü, & Ye Ding. (2022). N 6-methyladenosine enhances post-transcriptional gene regulation by microRNAs. Bioinformatics Advances. 2(1). vbab046–vbab046. 3 indexed citations
2.
Rennie, William, Shaveta Kanoria, Chaochun Liu, et al.. (2019). Sfold Tools for MicroRNA Target Prediction. Methods in molecular biology. 1970. 31–42. 15 indexed citations
3.
Roden, Christine, Jonathan Gaillard, Shaveta Kanoria, et al.. (2017). Novel determinants of mammalian primary microRNA processing revealed by systematic evaluation of hairpin-containing transcripts and human genetic variation. Genome Research. 27(3). 374–384. 68 indexed citations
4.
Kanoria, Shaveta, William Rennie, Chaochun Liu, et al.. (2016). STarMir Tools for Prediction of microRNA Binding Sites. Methods in molecular biology. 1490. 73–82. 34 indexed citations
5.
Rennie, William, Shaveta Kanoria, Chaochun Liu, et al.. (2016). STarMirDB: A database of microRNA binding sites. RNA Biology. 13(6). 554–560. 44 indexed citations
6.
Wang, Jing, William Rennie, Chaochun Liu, et al.. (2015). Identification of bacterial sRNA regulatory targets using ribosome profiling. Nucleic Acids Research. 43(21). gkv1158–gkv1158. 54 indexed citations
7.
Liu, Chaochun, William Rennie, Bibekanand Mallick, et al.. (2014). MicroRNA binding sites inC. elegans3′ UTRs. RNA Biology. 11(6). 693–701. 9 indexed citations
8.
Rennie, William, Chaochun Liu, C. Steven Carmack, et al.. (2014). STarMir: a web server for prediction of microRNA binding sites. Nucleic Acids Research. 42(W1). W114–W118. 91 indexed citations
9.
Liu, Chaochun, William Rennie, C. Steven Carmack, et al.. (2014). Effects of genetic variations on microRNA: target interactions. Nucleic Acids Research. 42(15). 9543–9552. 41 indexed citations
10.
Liu, Chaochun, Bibekanand Mallick, Dang Long, et al.. (2013). CLIP-based prediction of mammalian microRNA binding sites. Nucleic Acids Research. 41(14). e138–e138. 80 indexed citations
11.
Cosgrove, Michael S., Ye Ding, William Rennie, Michael J. Lane, & Steven D. Hanes. (2012). The Bin3 RNA methyltransferase targets 7SK RNA to control transcription and translation. Wiley Interdisciplinary Reviews - RNA. 3(5). 633–647. 25 indexed citations
12.
Zhang, Xuejun, Jacquelyn S. Fetrow, William Rennie, David L. Waltz, & Gérard J. van den Berg. (1993). Automatic derivation of substructures yields novel structural building blocks in globular proteins.. PubMed. 1. 438–46. 13 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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