Abigail M. Fellows

82 total papers · 1.3k total citations
56 papers, 934 citations indexed

About

Abigail M. Fellows is a scholar working on Cognitive Neuroscience, Sensory Systems and Speech and Hearing. According to data from OpenAlex, Abigail M. Fellows has authored 56 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 16 papers in Sensory Systems and 9 papers in Speech and Hearing. Recurrent topics in Abigail M. Fellows's work include Hearing Loss and Rehabilitation (17 papers), Hearing, Cochlea, Tinnitus, Genetics (16 papers) and Noise Effects and Management (9 papers). Abigail M. Fellows is often cited by papers focused on Hearing Loss and Rehabilitation (17 papers), Hearing, Cochlea, Tinnitus, Genetics (16 papers) and Noise Effects and Management (9 papers). Abigail M. Fellows collaborates with scholars based in United States, Tanzania and United Kingdom. Abigail M. Fellows's co-authors include Jay C. Buckey, Allison P. Anderson, Devin R Cowan, Mark T. Hegel, Michael D. Mayer, Dean R. Madden, Prisca Boisguérin, Patrick R. Cushing, Scott Phillips and Dale F. Mierke and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Abigail M. Fellows

54 papers receiving 917 citations

Author Peers

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

Author						Papers	Cites
Abigail M. Fellows	184	154	142	138	125	56	934
Masahiko Izumizaki	239 1.3×	335 2.2×	162 1.1×	93 0.7×	90 0.7×	112	1.2k
Akira Yasukouchi	133 0.7×	92 0.6×	36 0.3×	43 0.3×	73 0.6×	73	893
D. Malinvaud	178 1.0×	139 0.9×	129 0.9×	56 0.4×	452 3.6×	79	1.2k
Andrew M. Brooks	47 0.3×	200 1.3×	38 0.3×	63 0.5×	67 0.5×	27	901
Catherine F. Slattery	347 1.9×	296 1.9×	20 0.1×	158 1.1×	20 0.2×	39	1.1k
Shinichiro Kumagaya	90 0.5×	207 1.3×	43 0.3×	222 1.6×	15 0.1×	44	819
Barry W. Peterson	87 0.5×	481 3.1×	28 0.2×	147 1.1×	84 0.7×	28	1.2k
J. L. Black	270 1.5×	159 1.0×	234 1.6×	162 1.2×	31 0.2×	50	1.0k
Marco Alessandrini	179 1.0×	147 1.0×	51 0.4×	19 0.1×	269 2.2×	83	1.1k
S.J. Goldberg	99 0.5×	220 1.4×	59 0.4×	146 1.1×	92 0.7×	32	976

Countries citing papers authored by Abigail M. Fellows

Since Specialization

Citations

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

Fields of papers citing papers by Abigail M. Fellows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail M. Fellows. 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 Abigail M. Fellows. The network helps show where Abigail M. Fellows may publish in the future.

Co-authorship network of co-authors of Abigail M. Fellows

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail M. Fellows. A scholar is included among the top collaborators of Abigail M. Fellows 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 Abigail M. Fellows. Abigail M. Fellows 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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