Keiko Kitamura

1000 citations
53 papers · 813 · h-index 17

Impact in

Papers in

Keiko Kitamura

51 papers receiving 789 citations

Peers

Keiko Kitamura
Comparison fields: 5 of 58
  • Nature and Landscape Conservation 300
  • Ecology, Evolution, Behavior and Systematics 243
  • Ecological Modeling 51
  • Genetics 310
  • Global and Planetary Change 169
Replace Hilary S. Callahan with:
Hilary S. Callahan United States
Lynsey Bunnefeld United Kingdom
Christopher D. Muir United States
Mario J. Pastorino Argentina
M. D. Lowman Australia
Patricia Jaramillo Ecuador
Beatriz Pías Spain
Jean‐Marc Louvet France
Helen J. Read United Kingdom
Ivan Hadrián Tuf Czechia
Keiko Kitamura relative to Hilary S. Callahan United States Hilary S. Callahan's profile →
Citations per field
00.5×1.5×
Hilary S. Callahan · 1×
Citations per year

Countries citing papers authored by Keiko Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keiko Kitamura, 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 Keiko Kitamura Line = papers co-authored together Keiko Kitamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200780
2 201577
3 200555
4 200944
5 200039
6 200333
7 199432
8 200131
9 200326
10 202025
11 199724
12 199724
13 199824
14 201522
15 200918
16 199717
17 200716
18 200916
19 200215
20 201014

About Keiko Kitamura

Keiko Kitamura is a scholar working on Nature and Landscape Conservation, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 53 papers that have together received 813 indexed citations. Recurring topics across this work include Genetic diversity and population structure (23 papers), Ecology and Vegetation Dynamics Studies (22 papers), Forest ecology and management (11 papers), Plant and animal studies (10 papers), Forest Ecology and Biodiversity Studies (6 papers), Ecology and Conservation Studies (5 papers), Forest Insect Ecology and Management (5 papers) and Horticultural and Viticultural Research (4 papers). The work is most often cited by research in Nature and Landscape Conservation (300 citations), Ecology, Evolution, Behavior and Systematics (243 citations), Ecological Modeling (51 citations), Genetics (310 citations) and Global and Planetary Change (169 citations). Keiko Kitamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shoichi Kawano, T. Kawahara, Hiroshi Yoshimaru, Yuichiro Nakai, Mineaki Aizawa, Shin Abe, Mikio Kaji, Hideyuki Saito, Satoru Suzuki and Susumu Goto. Their work appears in journals such as Population Ecology, Journal of Plant Research, Journal of Forest Research, Forests and Tree Genetics & Genomes.

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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