Selene S. Nikaido

11 total papers · 554 total citations
7 papers, 457 citations indexed

About

Selene S. Nikaido is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Selene S. Nikaido has authored 7 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Endocrine and Autonomic Systems and 4 papers in Molecular Biology. Recurrent topics in Selene S. Nikaido's work include Circadian rhythm and melatonin (5 papers), Light effects on plants (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Selene S. Nikaido is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Light effects on plants (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Selene S. Nikaido collaborates with scholars based in United States and Japan. Selene S. Nikaido's co-authors include Joseph S. Takahashi, Carl Hirschie Johnson, Linda M. Robertson, Noboru Murakami, Barbara L. Pratt, S. Holloway, O.W. Odom, Irina G. Minko, David L. Herrin and Donald P. Weeks and has published in prestigious journals such as Neuron, Brain Research and Plant Molecular Biology.

In The Last Decade

Selene S. Nikaido

7 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Selene S. Nikaido 324 252 165 125 56 7 457
Taeko Nishiwaki‐Ohkawa 257 0.8× 107 0.4× 152 0.9× 146 1.2× 13 0.2× 15 525
Wilson McIvor 189 0.6× 235 0.9× 246 1.5× 32 0.3× 17 0.3× 10 516
E. Grieshaber 259 0.8× 294 1.2× 132 0.8× 173 1.4× 8 0.1× 12 527
Philipp Mracek 313 1.0× 132 0.5× 99 0.6× 54 0.4× 4 0.1× 11 453
Heeun Jang 183 0.6× 103 0.4× 124 0.8× 28 0.2× 7 0.1× 7 483
Tsuguhiko Takamura 184 0.6× 239 0.9× 57 0.3× 112 0.9× 3 0.1× 10 471
Christiane Hermann-Luibl 351 1.1× 444 1.8× 46 0.3× 99 0.8× 3 0.1× 11 532
Andrea R. Tilden 242 0.7× 182 0.7× 70 0.4× 41 0.3× 4 0.1× 13 425
Annika F. Barber 166 0.5× 352 1.4× 232 1.4× 53 0.4× 2 0.0× 20 516
Mili Jeon 137 0.4× 161 0.6× 274 1.7× 68 0.5× 3 0.1× 9 517

Countries citing papers authored by Selene S. Nikaido

Since Specialization
Citations

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

Fields of papers citing papers by Selene S. Nikaido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selene S. Nikaido. 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 Selene S. Nikaido. The network helps show where Selene S. Nikaido may publish in the future.

Co-authorship network of co-authors of Selene S. Nikaido

This figure shows the co-authorship network connecting the top 25 collaborators of Selene S. Nikaido. A scholar is included among the top collaborators of Selene S. Nikaido 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 Selene S. Nikaido. Selene S. Nikaido 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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