Hidetoshi Inamine

492 total citations
8 papers, 290 citations indexed

About

Hidetoshi Inamine is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Hidetoshi Inamine has authored 8 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nature and Landscape Conservation, 3 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Ecology. Recurrent topics in Hidetoshi Inamine's work include Plant and animal studies (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Animal Ecology and Behavior Studies (2 papers). Hidetoshi Inamine is often cited by papers focused on Plant and animal studies (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Animal Ecology and Behavior Studies (2 papers). Hidetoshi Inamine collaborates with scholars based in United States, United Kingdom and Australia. Hidetoshi Inamine's co-authors include Anurag A. Agrawal, Stephen P. Ellner, James P. Springer, John Alexander, Nancy Bubula, Georgia Wilke, Bryan F. Singer, Lorinda K. Baker, Rachael L. Neve and William A. Carlezon and has published in prestigious journals such as Science, Journal of Neuroscience and Ecology.

In The Last Decade

Hidetoshi Inamine

8 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hidetoshi Inamine United States 6 165 81 78 72 57 8 290
Sami P. Ojanen Finland 7 104 0.6× 75 0.9× 54 0.7× 47 0.7× 80 1.4× 7 264
Masaya Yago Japan 10 166 1.0× 190 2.3× 34 0.4× 66 0.9× 45 0.8× 36 274
Diana Posledovich Sweden 9 219 1.3× 85 1.0× 111 1.4× 91 1.3× 97 1.7× 15 329
Ryan A. St Laurent United States 8 302 1.8× 308 3.8× 71 0.9× 71 1.0× 33 0.6× 43 365
Peter Pruisscher Sweden 11 125 0.8× 154 1.9× 47 0.6× 74 1.0× 32 0.6× 15 342
Delbert A. Green United States 8 84 0.5× 109 1.3× 22 0.3× 43 0.6× 14 0.2× 17 247
Neda N. Moghadam Denmark 11 120 0.7× 123 1.5× 47 0.6× 139 1.9× 19 0.3× 17 389
Chloe J. Hardman United Kingdom 8 223 1.4× 96 1.2× 25 0.3× 66 0.9× 53 0.9× 8 343
Wade E. Winterhalter United States 9 238 1.4× 185 2.3× 39 0.5× 139 1.9× 19 0.3× 10 376
Ayşe Tenger‐Trolander United States 6 257 1.6× 281 3.5× 25 0.3× 59 0.8× 20 0.4× 7 385

Countries citing papers authored by Hidetoshi Inamine

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Inamine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Inamine

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Inamine. A scholar is included among the top collaborators of Hidetoshi Inamine 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 Hidetoshi Inamine. Hidetoshi Inamine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Howerton, Emily, Michael C. Runge, Tiffany L. Bogich, et al.. (2023). Context-dependent representation of within- and between-model uncertainty: aggregating probabilistic predictions in infectious disease epidemiology. Journal of The Royal Society Interface. 20(198). 20220659–20220659. 11 indexed citations
2.
Padfield, Daniel, et al.. (2022). Disturbance‐mediated invasions are dependent on community resource abundance. Ecology. 103(8). e3728–e3728. 4 indexed citations
3.
Inamine, Hidetoshi, Adam D. Miller, Stephen H. Roxburgh, Angus Buckling, & Katriona Shea. (2022). Pulse and Press Disturbances Have Different Effects on Transient Community Dynamics. The American Naturalist. 200(4). 571–583. 10 indexed citations
4.
Inamine, Hidetoshi, et al.. (2021). Duration and timing interactions of early‐life stress and the potential for recovery. Ecosphere. 12(7). 3 indexed citations
5.
Agrawal, Anurag A. & Hidetoshi Inamine. (2018). Mechanisms behind the monarch's decline. Science. 360(6395). 1294–1296. 59 indexed citations
6.
Inamine, Hidetoshi, Stephen P. Ellner, Peter D. Newell, et al.. (2018). Spatiotemporally Heterogeneous Population Dynamics of Gut Bacteria Inferred from Fecal Time Series Data. mBio. 9(1). 30 indexed citations
7.
Inamine, Hidetoshi, Stephen P. Ellner, James P. Springer, & Anurag A. Agrawal. (2016). Linking the continental migratory cycle of the monarch butterfly to understand its population decline. Oikos. 125(8). 1081–1091. 113 indexed citations
8.
Loweth, Jessica A., Bryan F. Singer, Lorinda K. Baker, et al.. (2010). Transient Overexpression of α-Ca2+/Calmodulin-Dependent Protein Kinase II in the Nucleus Accumbens Shell Enhances Behavioral Responding to Amphetamine. Journal of Neuroscience. 30(3). 939–949. 60 indexed citations

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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