Grace Hagiwara

20 total papers · 1.2k total citations
18 papers, 979 citations indexed

About

Grace Hagiwara is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Grace Hagiwara has authored 18 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Grace Hagiwara's work include Neurobiology and Insect Physiology Research (7 papers), Sleep and Wakefulness Research (6 papers) and Neural dynamics and brain function (4 papers). Grace Hagiwara is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Sleep and Wakefulness Research (6 papers) and Neural dynamics and brain function (4 papers). Grace Hagiwara collaborates with scholars based in United States, Switzerland and Denmark. Grace Hagiwara's co-authors include Jeffrey J. Wine, H. Craig Heller, Paul Franken, Norman F. Ruby, Phung Gip, Heinrich Reichert, Karen A. Sigvardt, Jessica W. Tsai, Jens Hannibal and Damien Colas and has published in prestigious journals such as Science, Journal of Neurophysiology and PLoS Biology.

In The Last Decade

Grace Hagiwara

18 papers receiving 954 citations

Author Peers

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

Author Last Decade Papers Cites
Grace Hagiwara 487 394 348 170 140 18 979
Laura Gottschalk 579 1.2× 382 1.0× 486 1.4× 36 0.2× 132 0.9× 18 1000
P. J. Morgane 331 0.7× 312 0.8× 491 1.4× 132 0.8× 99 0.7× 19 1.1k
Naoki Kogo 206 0.4× 429 1.1× 372 1.1× 63 0.4× 123 0.9× 47 875
Matthew S. Thimgan 488 1.0× 289 0.7× 392 1.1× 41 0.2× 145 1.0× 24 905
Mark W. Hurd 203 0.4× 162 0.4× 464 1.3× 93 0.5× 160 1.1× 40 1.1k
Eve R. Schneider 230 0.5× 118 0.3× 148 0.4× 52 0.3× 321 2.3× 20 812
Clifford B. Talbot 895 1.8× 196 0.5× 307 0.9× 148 0.9× 156 1.1× 11 1.1k
Karl Æ. Karlsson 388 0.8× 770 2.0× 503 1.4× 46 0.3× 81 0.6× 38 1.2k
Yueqing Peng 607 1.2× 274 0.7× 118 0.3× 39 0.2× 160 1.1× 25 1.2k
David Rosenegger 436 0.9× 230 0.6× 110 0.3× 129 0.8× 125 0.9× 24 935

Countries citing papers authored by Grace Hagiwara

Since Specialization
Citations

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

Fields of papers citing papers by Grace Hagiwara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Hagiwara

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