Takeshi Igawa

1.0k citations
68 papers · 741 indexed · h-index 14
Topics
Amphibian and Reptile Biology (32 papers)Genetic diversity and population structure (20 papers)Genomics and Phylogenetic Studies (18 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
JapanBangladeshAustralia

In The Last Decade

Takeshi Igawa

64 papers receiving 722 citations

Peers

Takeshi Igawa
Comparison fields: 5 of 86
  • Global and Planetary Change 386
  • Molecular Biology 305
  • Genetics 278
  • Ecology 150
  • Ecological Modeling 121
Replace Yuanting Jin with:
Yuanting Jin China
Ron Gagliardo United Kingdom
Jie‐Qiong Jin China
Ines Van Bocxlaer Belgium
Giovanni Scillitani Italy
Dingqi Rao China
James E. Platz United States
Robert K. Browne Russia
John H. Malone United States
Takeshi Igawa relative to Yuanting Jin China Yuanting Jin's profile →
Citations per field
00.5×3.2×
Yuanting Jin · 1×
Citations per year

Countries citing papers authored by Takeshi Igawa

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Igawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Igawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Igawa. A scholar is included among the top collaborators of Takeshi Igawa 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 Takeshi Igawa. Takeshi Igawa 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 6
2 1
3 2
4 6
5 2
6 9
7 5
8 2
9 35
10 5
11 5
12 7
13 26
14 8
15 9
16 3
17 15
18 7
19 11
20 69

About Takeshi Igawa

Takeshi Igawa is a scholar working on Ecological Modeling, Global and Planetary Change and Genetics, having authored 68 papers that have together received 741 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (32 papers), Genetic diversity and population structure (20 papers) and Genomics and Phylogenetic Studies (18 papers). The work is most often cited by research in Ecological Modeling (121 citations), Global and Planetary Change (386 citations) and Genetics (278 citations). Takeshi Igawa has collaborated with scholars based in Japan, Bangladesh and Australia. Frequent co-authors include Masayuki Sumida, Atsushi Kurabayashi, Shohei Komaki, Mohammed Mafizul Islam, Midori Nishioka, Tamotsu Fujii, Mohammad Shafiqul Alam, Teruhiko Takahara, Mitsuru Kuramoto and Yoko Satta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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