Melissa Barber

15 total papers · 834 total citations
13 papers, 588 citations indexed

About

Melissa Barber is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Melissa Barber has authored 13 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Developmental Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Melissa Barber's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Axon Guidance and Neuronal Signaling (9 papers) and Neuroscience and Neuropharmacology Research (3 papers). Melissa Barber is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Axon Guidance and Neuronal Signaling (9 papers) and Neuroscience and Neuropharmacology Research (3 papers). Melissa Barber collaborates with scholars based in United Kingdom, France and United States. Melissa Barber's co-authors include John G. Parnavelas, William D. Andrews, Alessandra Pierani, William Andrews, Fujio Murakami, Luis R. Hernández-Miranda, Terence H. Rabbitts, Hannah Thompson, Lynda Erskine and Richard Pannell and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Current Biology.

In The Last Decade

Melissa Barber

13 papers receiving 583 citations

Author Peers

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

Author						Papers	Cites
Melissa Barber	343	264	249	110	60	13	588
Nicolás Marichal	245 0.7×	262 1.0×	269 1.1×	71 0.6×	61 1.0×	20	620
Mayumi Okamoto	211 0.6×	359 1.4×	222 0.9×	122 1.1×	20 0.3×	15	560
Kazuto Fujishima	226 0.7×	371 1.4×	94 0.4×	111 1.0×	26 0.4×	16	634
Barbara Le Bras	382 1.1×	315 1.2×	282 1.1×	119 1.1×	20 0.3×	11	694
Désireé Schut	419 1.2×	281 1.1×	180 0.7×	189 1.7×	25 0.4×	10	676
Vladislav Mareš	240 0.7×	191 0.7×	156 0.6×	47 0.4×	40 0.7×	28	546
Susan Tamowski	262 0.8×	246 0.9×	148 0.6×	39 0.4×	23 0.4×	7	562
Jin-Chong Xu	234 0.7×	276 1.0×	116 0.5×	85 0.8×	24 0.4×	11	572
C. Gensburger	232 0.7×	383 1.5×	238 1.0×	64 0.6×	15 0.3×	16	598
Hans R. Widmer	305 0.9×	241 0.9×	193 0.8×	45 0.4×	17 0.3×	20	618

Countries citing papers authored by Melissa Barber

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Barber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Barber. A scholar is included among the top collaborators of Melissa Barber 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 Melissa Barber. Melissa Barber 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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