Melissa B. Coates

19 total papers · 988 total citations
14 papers, 765 citations indexed

About

Melissa B. Coates is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Melissa B. Coates has authored 14 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrine and Autonomic Systems, 9 papers in Cognitive Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Melissa B. Coates's work include Neuroscience of respiration and sleep (10 papers), Sleep and Wakefulness Research (8 papers) and Neuroendocrine regulation and behavior (5 papers). Melissa B. Coates is often cited by papers focused on Neuroscience of respiration and sleep (10 papers), Sleep and Wakefulness Research (8 papers) and Neuroendocrine regulation and behavior (5 papers). Melissa B. Coates collaborates with scholars based in United States and Lebanon. Melissa B. Coates's co-authors include Ruth L. Stornetta, Patrice G. Guyenet, Stephen B.G. Abbott, Seth D. DePuy, Genrieta Bochorishvili, Roy Kanbar, Patrice G. Guyenet, Thành Nguyễn, Kenneth E. Viar and P. G. Guyenet and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Biochemistry.

In The Last Decade

Melissa B. Coates

13 papers receiving 760 citations

Author Peers

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

Author						Papers	Cites
Melissa B. Coates	617	419	215	163	143	14	765
Hari H. Subramanian	498 0.8×	280 0.7×	231 1.1×	153 0.9×	75 0.5×	21	802
Roy Kanbar	708 1.1×	380 0.9×	226 1.1×	266 1.6×	110 0.8×	26	893
Kenneth E. Viar	429 0.7×	291 0.7×	148 0.7×	153 0.9×	103 0.7×	14	677
Aaron Uschakov	407 0.7×	314 0.7×	136 0.6×	89 0.5×	121 0.8×	12	795
Andrea E. Corcoran	451 0.7×	250 0.6×	196 0.9×	90 0.6×	182 1.3×	16	705
Genrieta Bochorishvili	370 0.6×	329 0.8×	120 0.6×	138 0.8×	190 1.3×	10	742
Michal G. Fortuna	508 0.8×	280 0.7×	201 0.9×	148 0.9×	110 0.8×	11	639
Ian C. Wenker	539 0.9×	286 0.7×	162 0.8×	136 0.8×	189 1.3×	30	811
Steven A. Nanda	344 0.6×	191 0.5×	168 0.8×	55 0.3×	109 0.8×	12	713
Barbara Kruszewska	540 0.9×	169 0.4×	226 1.1×	191 1.2×	188 1.3×	16	842

Countries citing papers authored by Melissa B. Coates

Since Specialization

Citations

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

Fields of papers citing papers by Melissa B. Coates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa B. Coates

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