Kuniko Kawai

407 citations
24 papers · 336 indexed · h-index 7
Topics
Bat Biology and Ecology Studies (14 papers)Genetic diversity and population structure (7 papers)Wildlife Ecology and Conservation (7 papers)
Partner nations
JapanRussiaChina

In The Last Decade

Kuniko Kawai

21 papers receiving 315 citations

Peers

Kuniko Kawai
Comparison fields: 5 of 38
  • Ecology, Evolution, Behavior and Systematics 208
  • Molecular Biology 129
  • Genetics 128
  • Paleontology 97
  • Ecology 92
Replace L.‐K. Lin with:
L.‐K. Lin Taiwan
Xiuguang Mao China
Rodrigo A. F. Redondo Brazil
Serena E. Dool Germany
Emrah Çoraman Türkiye
Jodi L. Sedlock United States
Fidel Botero-Castro France
Yann Gager Germany
Benjamin Allegrini France
M. Raquel Marchán-Rivadeneira United States
Kuniko Kawai relative to L.‐K. Lin Taiwan L.‐K. Lin's profile →
Citations per field
00.5×1.5×1.8×
L.‐K. Lin · 1×
Citations per year

Countries citing papers authored by Kuniko Kawai

Since Specialization
Citations

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

Fields of papers citing papers by Kuniko Kawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuniko Kawai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 2
6 4
7 2
8 6
9 1
10
Bats from Kunashir and Iturup Island
2
11 15
12 6
13 8
14 6
15 2
16 5
17 9
18 70
19 64
20 120

About Kuniko Kawai

Kuniko Kawai is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Paleontology, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (14 papers), Genetic diversity and population structure (7 papers) and Wildlife Ecology and Conservation (7 papers). The work is most often cited by research in Ecological Modeling (88 citations), Paleontology (97 citations) and Ecology, Evolution, Behavior and Systematics (208 citations). Kuniko Kawai has collaborated with scholars based in Japan, Russia and China. Frequent co-authors include Masashi Harada, Masato Nikaido, Masami Hasegawa, Norihiro Okada, Satoru Tomita, Yi Wu, Liang‐Kong Lin, Sumiko Matsumura, Dai Fukui and Takashi Saitoh. Their work appears in journals such as Frontiers in Microbiology, Molecular Phylogenetics and Evolution and Journal of Molecular Evolution.

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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