Farrell Wymore

989 total citations
8 papers, 572 citations indexed

About

Farrell Wymore is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Farrell Wymore has authored 8 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Farrell Wymore's work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and Oral microbiology and periodontitis research (2 papers). Farrell Wymore is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and Oral microbiology and periodontitis research (2 papers). Farrell Wymore collaborates with scholars based in United States. Farrell Wymore's co-authors include Gavin Sherlock, Jonathan Binkley, Prachi Shah, Diane O. Inglis, Marek S. Skrzypek, Martha B. Arnaud, Gustavo Cerqueira, Jennifer R. Wortman, Stuart R. Miyasato and Gail Binkley and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and BMC Microbiology.

In The Last Decade

Farrell Wymore

8 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farrell Wymore United States	6	365	218	152	136	89	8	572
Martha B. Arnaud United States	10	603 1.7×	263 1.2×	168 1.1×	206 1.5×	95 1.1×	10	859
Grainne O’Keeffe Ireland	11	265 0.7×	228 1.0×	184 1.2×	210 1.5×	92 1.0×	13	587
Franziska Leßing Germany	8	363 1.0×	148 0.7×	232 1.5×	334 2.5×	112 1.3×	9	700
Stephen Carberry Ireland	8	272 0.7×	174 0.8×	100 0.7×	124 0.9×	49 0.6×	10	468
Lilian Pereira Silva Brazil	17	270 0.7×	156 0.7×	236 1.6×	244 1.8×	114 1.3×	26	576
Priti Saxena India	9	372 1.0×	230 1.1×	154 1.0×	106 0.8×	117 1.3×	14	610
Gwenaël Ruprich‐Robert France	17	454 1.2×	87 0.4×	109 0.7×	274 2.0×	90 1.0×	34	703
Christoph Jöchl Austria	9	365 1.0×	108 0.5×	167 1.1×	225 1.7×	100 1.1×	9	649
María C. Stroe Germany	11	201 0.6×	183 0.8×	67 0.4×	116 0.9×	42 0.5×	17	461
Nicola J. Rolley United Kingdom	12	323 0.9×	71 0.3×	193 1.3×	75 0.6×	115 1.3×	17	585

Countries citing papers authored by Farrell Wymore

Since Specialization

Citations

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

Fields of papers citing papers by Farrell Wymore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farrell Wymore

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

All Works

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8 of 8 papers shown

1.

Inglis, Diane O., Jonathan Binkley, Marek S. Skrzypek, et al.. (2013). Comprehensive annotation of secondary metabolite biosynthetic genes and gene clusters of Aspergillus nidulans, A. fumigatus, A. niger and A. oryzae. BMC Microbiology. 13(1). 91–91. 213 indexed citations

2.

Cerqueira, Gustavo, Martha B. Arnaud, Diane O. Inglis, et al.. (2013). TheAspergillusGenome Database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations. Nucleic Acids Research. 42(D1). D705–D710. 205 indexed citations

3.

Binkley, Jonathan, Martha B. Arnaud, Diane O. Inglis, et al.. (2013). TheCandidaGenome Database: The new homology information page highlights protein similarity and phylogeny. Nucleic Acids Research. 42(D1). D711–D716. 28 indexed citations

4.

Hu, James C., Gavin Sherlock, Deborah A. Siegele, et al.. (2013). PortEco: a resource for exploring bacterial biology through high-throughput data and analysis tools. Nucleic Acids Research. 42(D1). D677–D684. 15 indexed citations

5.

Inglis, Diane O., Marek S. Skrzypek, Martha B. Arnaud, et al.. (2012). Improved Gene Ontology Annotation for Biofilm Formation, Filamentous Growth, and Phenotypic Switching in Candida albicans. Eukaryotic Cell. 12(1). 101–108. 21 indexed citations

6.

Galagan, James E., Peter Sisk, Christian Stolte, et al.. (2010). TB database 2010: Overview and update. Tuberculosis. 90(4). 225–235. 87 indexed citations

7.

Maier, Dieter, Farrell Wymore, Gavin Sherlock, & Catherine A. Ball. (2008). The XBabelPhish MAGE-ML and XML Translator. BMC Bioinformatics. 9(1). 28–28. 2 indexed citations

8.

Wymore, Farrell, et al.. (2007). OntologyWidget – a reusable, embeddable widget for easily locating ontology terms. BMC Bioinformatics. 8(1). 338–338. 1 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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