Mamoru Takata

490 citations
40 papers · 347 · h-index 11

Impact in

Papers in

Mamoru Takata

34 papers receiving 335 citations

Peers

Mamoru Takata
Comparison fields: 5 of 68
  • Insect Science 116
  • Ecology, Evolution, Behavior and Systematics 140
  • Genetics 139
  • Statistical and Nonlinear Physics 48
  • Endocrinology 14
Replace Franco Maria Neri with:
Franco Maria Neri Italy
Guo‐Dong Ren China
Mathieu Moslonka‐Lefebvre France
Sutirth Dey India
Helen F. McCreery United States
Nathalie Stroeymeyt United Kingdom
Thomas O. Richardson United Kingdom
Pablo Moisset de Espanés Chile
Stéphanie Depickère Bolivia
Alla Mashanova United Kingdom
Mamoru Takata relative to Franco Maria Neri Italy Franco Maria Neri's profile →
Citations per field
00.5×2.8×
Franco Maria Neri · 1×
Citations per year

Countries citing papers authored by Mamoru Takata

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197970
2 201533
3 201624
4 201524
5 202123
6 201314
7 201313
8 198313
9 202311
10 201911
11 195411
12 202310
13 202310
14 202310
15 20218
16 19868
17 20237
18 20156
19 20176
20 20144

About Mamoru Takata

Mamoru Takata is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Ecology and Molecular Biology, having authored 40 papers that have together received 347 indexed citations. Recurring topics across this work include Plant and animal studies (21 papers), Insect and Arachnid Ecology and Behavior (19 papers), Insect and Pesticide Research (11 papers), Animal Behavior and Reproduction (7 papers), Forest Insect Ecology and Management (5 papers), Insect-Plant Interactions and Control (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Insect Science (116 citations), Ecology, Evolution, Behavior and Systematics (140 citations), Genetics (139 citations), Statistical and Nonlinear Physics (48 citations) and Endocrinology (14 citations). Mamoru Takata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuyoshi Hirakawa, Shoichi Kai, Kenji Matsuura, Satoshi Koyama, Toshiyuki Satoh, Shinya Hayashi, Cathleen E. Thomas, Yuki Mitaka, Toshimi SATOH and Yuya Fukano. Their work appears in journals such as Journal of Ethology, Journal of Evolutionary Biology, Journal of the Physical Society of Japan, Proceedings of the Royal Society B Biological Sciences and Insectes Sociaux.

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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