Gabrielle A. Reeves

12 total papers · 610 total citations
7 papers, 262 citations indexed

About

Gabrielle A. Reeves is a scholar working on Molecular Biology, Pharmacology and Materials Chemistry. According to data from OpenAlex, Gabrielle A. Reeves has authored 7 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Materials Chemistry. Recurrent topics in Gabrielle A. Reeves's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Gabrielle A. Reeves is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Gabrielle A. Reeves collaborates with scholars based in United Kingdom, Spain and South Africa. Gabrielle A. Reeves's co-authors include Christine Orengo, Janet M. Thornton, Timothy J. Dallman, Oliver Redfern, David Talavera, Ian Sillitoe, Frances M. G. Pearl, Tim Hubbard, Henning Hermjakob and Rafael C. Jiménez and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Gabrielle A. Reeves

7 papers receiving 260 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gabrielle A. Reeves	249	67	15	12	11	7	262
Daniel A. Mokhtari	182 0.7×	67 1.0×	23 1.5×	14 1.2×	4 0.4×	9	277
Esmeralda Vicedo	174 0.7×	42 0.6×	20 1.3×	11 0.9×	8 0.7×	10	229
Jan E. Gewehr	138 0.6×	37 0.6×	8 0.5×	7 0.6×	4 0.4×	13	169
Sandra Viknander	222 0.9×	27 0.4×	18 1.2×	11 0.9×	3 0.3×	9	261
Casper A. Goverde	198 0.8×	41 0.6×	22 1.5×	5 0.4×	2 0.2×	7	242
Alisa Khramushin	209 0.8×	43 0.6×	12 0.8×	11 0.9×	3 0.3×	6	255
Takahiro KUDOU	123 0.5×	60 0.9×	11 0.7×	12 1.0×	5 0.5×	6	143
Ziv Ben-Aharon	194 0.8×	36 0.5×	10 0.7×	10 0.8×	3 0.3×	4	239
Hema Bye‐A‐Jee	250 1.0×	12 0.2×	30 2.0×	21 1.8×	7 0.6×	7	285
Jennifer R. Wolfley	218 0.9×	180 2.7×	10 0.7×	44 3.7×	3 0.3×	14	330

Countries citing papers authored by Gabrielle A. Reeves

Since Specialization

Citations

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

Fields of papers citing papers by Gabrielle A. Reeves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle A. Reeves. 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 Gabrielle A. Reeves. The network helps show where Gabrielle A. Reeves may publish in the future.

Co-authorship network of co-authors of Gabrielle A. Reeves

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

All Works

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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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