Gen Morimoto

489 citations
37 papers · 366 · h-index 9

Impact in

Papers in

Gen Morimoto

32 papers receiving 359 citations

Peers

Gen Morimoto
Comparison fields: 5 of 76
  • Ecological Modeling 30
  • Ecology, Evolution, Behavior and Systematics 116
  • Developmental Biology 12
  • Surfaces, Coatings and Films 31
  • Ecology 108
Replace Melissa G. Meadows with:
Melissa G. Meadows United States
Casey Gilman United States
Anthony P. Russell Canada
Tom D. Schultz United States
Jan Dyck Denmark
Parrish Brady United States
Masaki Shirai Japan
Herbert I. Rosenberg Canada
Bram Vanthournout Belgium
Efrat Gavish‐Regev Israel
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Citations per field
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Citations per year

Countries citing papers authored by Gen Morimoto

Since Specialization
Citations

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

Fields of papers citing papers by Gen Morimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gen Morimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gen Morimoto Line = papers co-authored together Gen Morimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016161
2
JAVIAN Database: a species-level database of life history, ecology and morphology of bird species in Japan
201132
3 202020
4 201117
5 201016
6 201616
7 200515
8 200513
9 20179
10 20117
11 20126
12 20145
13 20155
14 20105
15 20215
16 20154
17 20234
18 20243
19 20213
20 20223

About Gen Morimoto

Gen Morimoto is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Global and Planetary Change and Ecological Modeling, having authored 37 papers that have together received 366 indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (18 papers), Avian ecology and behavior (18 papers), Plant and animal studies (13 papers), Ecology and Vegetation Dynamics Studies (7 papers), Wildlife Ecology and Conservation (6 papers), Species Distribution and Climate Change (6 papers), Amphibian and Reptile Biology (4 papers) and Photonic Crystals and Applications (2 papers). The work is most often cited by research in Ecological Modeling (30 citations), Ecology, Evolution, Behavior and Systematics (116 citations), Developmental Biology (12 citations), Surfaces, Coatings and Films (31 citations) and Ecology (108 citations). Gen Morimoto has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Yuri Nannichi, Keiki Kishikawa, Ayaka Kawamura, Michinari Kohri, T. Taniguchi, Keisuke Ueda, Keita Tanaka, Osamu Mikami, Takeo Kuriyama and Noriyuki M. Yamaguchi. Their work appears in journals such as Scientific Reports, Ethology, Global Ecology and Conservation, Journal of Avian Biology and Bird Study.

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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