Heather M. Hood

18 total papers · 732 total citations
14 papers, 416 citations indexed

About

Heather M. Hood is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, Heather M. Hood has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Heather M. Hood's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and GABA and Rice Research (3 papers). Heather M. Hood is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and GABA and Rice Research (3 papers). Heather M. Hood collaborates with scholars based in United States and Japan. Heather M. Hood's co-authors include Kari J. Buck, Matthew S. Sachs, James E. Galagan, Daniel E. Neafsey, John C. Crabbe, Jeremy Zucker, Jonathan M. Dreyfuss, John A. Harvey, Anthony G. Romano and John K. Belknap and has published in prestigious journals such as Genetics, Annals of the New York Academy of Sciences and Annual Review of Microbiology.

In The Last Decade

Heather M. Hood

14 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Heather M. Hood 266 148 58 47 33 14 416
Berridge Mj 256 1.0× 124 0.8× 37 0.6× 33 0.7× 26 0.8× 11 467
Caroline Dubacq 207 0.8× 88 0.6× 53 0.9× 46 1.0× 43 1.3× 17 380
Ranmal A. Samarasinghe 225 0.8× 100 0.7× 19 0.3× 73 1.6× 46 1.4× 9 496
Chengfeng Sun 201 0.8× 73 0.5× 39 0.7× 30 0.6× 14 0.4× 23 404
Chantelle Fourie 177 0.7× 151 1.0× 22 0.4× 38 0.8× 29 0.9× 9 413
Christophe Schweitzer 217 0.8× 134 0.9× 17 0.3× 51 1.1× 21 0.6× 11 426
Fernando Corrêa 284 1.1× 64 0.4× 50 0.9× 57 1.2× 16 0.5× 20 428
Janet A. Macro 188 0.7× 178 1.2× 67 1.2× 16 0.3× 12 0.4× 8 429
Thomas Schmidt‐Rose 314 1.2× 146 1.0× 27 0.5× 22 0.5× 17 0.5× 14 479
David Innes 126 0.5× 156 1.1× 27 0.5× 29 0.6× 31 0.9× 21 384

Countries citing papers authored by Heather M. Hood

Since Specialization
Citations

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

Fields of papers citing papers by Heather M. Hood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather M. Hood

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