Candice Coombes

1.5k total citations
10 papers, 1.1k citations indexed

About

Candice Coombes is a scholar working on Molecular Biology, Plant Science and Neurology. According to data from OpenAlex, Candice Coombes has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Neurology. Recurrent topics in Candice Coombes's work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (3 papers) and RNA and protein synthesis mechanisms (3 papers). Candice Coombes is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (3 papers) and RNA and protein synthesis mechanisms (3 papers). Candice Coombes collaborates with scholars based in United States, France and United Kingdom. Candice Coombes's co-authors include Jef D. Boeke, Valina L. Dawson, Ted M. Dawson, Darren J. Moore, Philip Hieter, Shay Ben‐Aroya, Kathryn A. O’Donnell, Narayana Annaluru, Srinivasan Chandrasegaran and Héloïse Muller and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Candice Coombes

10 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Candice Coombes United States	10	901	275	244	203	109	10	1.1k
Camilla Lööv Sweden	10	707 0.8×	196 0.7×	134 0.5×	91 0.4×	101 0.9×	12	972
Swati Mishra United States	15	453 0.5×	52 0.2×	36 0.1×	251 1.2×	146 1.3×	42	882
Natsuko Jin United States	11	475 0.5×	63 0.2×	97 0.4×	81 0.4×	125 1.1×	12	954
Toshiki Nakai Japan	14	728 0.8×	39 0.1×	121 0.5×	94 0.5×	134 1.2×	21	947
Weina Shang China	15	498 0.6×	103 0.4×	39 0.2×	52 0.3×	92 0.8×	24	738
Marc de Tapia France	19	660 0.7×	31 0.1×	463 1.9×	375 1.8×	102 0.9×	22	1.2k
Cinzia Tiberi Switzerland	10	714 0.8×	86 0.3×	32 0.1×	129 0.6×	117 1.1×	11	872
Andrew K. Sobering United States	9	737 0.8×	82 0.3×	20 0.1×	132 0.7×	143 1.3×	30	947
Gabriela O. Bodea Australia	11	486 0.5×	114 0.4×	31 0.1×	292 1.4×	18 0.2×	18	673
Renè Massimiliano Marsano Italy	16	929 1.0×	77 0.3×	24 0.1×	352 1.7×	40 0.4×	44	1.1k

Countries citing papers authored by Candice Coombes

Since Specialization

Citations

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

Fields of papers citing papers by Candice Coombes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candice Coombes

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

All Works

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10 of 10 papers shown

Dymond, Jessica S., Sarah M. Richardson, Candice Coombes, et al.. (2011). Synthetic chromosome arms function in yeast and generate phenotypic diversity by design. Nature. 477(7365). 471–476. 327 indexed citations

Xiong, Yulan, Candice Coombes, Austin S. Kilaru, et al.. (2010). GTPase Activity Plays a Key Role in the Pathobiology of LRRK2. PLoS Genetics. 6(4). e1000902–e1000902. 161 indexed citations

Ben‐Aroya, Shay, et al.. (2008). Toward a Comprehensive Temperature-Sensitive Mutant Repository of the Essential Genes of Saccharomyces cerevisiae. Molecular Cell. 30(2). 248–258. 165 indexed citations

Biskup, Saskia, Darren J. Moore, Alexis Rea, et al.. (2007). Dynamic and redundant regulation of LRRK2 and LRRK1 expression. BMC Neuroscience. 8(1). 102–102. 121 indexed citations

An, Wenfeng, Jeffrey S. Han, Sarah J. Wheelan, et al.. (2006). Active retrotransposition by a synthetic L1 element in mice. Proceedings of the National Academy of Sciences. 103(49). 18662–18667. 91 indexed citations

Coombes, Candice & Jef D. Boeke. (2005). An evaluation of detection methods for large lariat RNAs. RNA. 11(3). 323–331. 32 indexed citations

Bolton, Eric C., et al.. (2005). Identification and characterization of critical cis-acting sequences within the yeast Ty1 retrotransposon. RNA. 11(3). 308–322. 23 indexed citations

Maxwell, Patrick H., Candice Coombes, Alison E. Kenny, et al.. (2004). Ty1 Mobilizes Subtelomeric Y′ Elements in Telomerase-Negative Saccharomyces cerevisiae Survivors. Molecular and Cellular Biology. 24(22). 9887–9898. 37 indexed citations

Coombes, Candice, Philippe Arnaúd, Wendy Dean, et al.. (2003). Epigenetic Properties and Identification of an Imprint Mark in the Nesp-Gnasxl Domain of the Mouse Gnas Imprinted Locus. Molecular and Cellular Biology. 23(16). 5475–5488. 94 indexed citations

10.

Kelsey, Gavin, Howard J. Miller, C.V. Beechey, et al.. (1999). Identification of Imprinted Loci by Methylation-Sensitive Representational Difference Analysis: Application to Mouse Distal Chromosome 2. Genomics. 62(2). 129–138. 74 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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