Takeshi Terada

49 total papers · 1.9k total citations
28 papers, 1.0k citations indexed

About

Takeshi Terada is a scholar working on Ecology, Environmental Chemistry and Pollution. According to data from OpenAlex, Takeshi Terada has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 16 papers in Environmental Chemistry and 8 papers in Pollution. Recurrent topics in Takeshi Terada's work include Microbial Community Ecology and Physiology (18 papers), Methane Hydrates and Related Phenomena (16 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). Takeshi Terada is often cited by papers focused on Microbial Community Ecology and Physiology (18 papers), Methane Hydrates and Related Phenomena (16 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). Takeshi Terada collaborates with scholars based in Japan, United States and Germany. Takeshi Terada's co-authors include Yuki Morono, Fumio Inagaki, Yuji Sekiguchi, Yoichi Kamagata, Takashi Narihiro, Kazunori Nakamura, Motoo Ito, Noriaki Masui, Tatsuhiko Hoshino and Akiko Ohashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Takeshi Terada

27 papers receiving 990 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takeshi Terada 559 421 276 256 139 28 1.0k
Frederik Bak 347 0.6× 358 0.9× 225 0.8× 276 1.1× 139 1.0× 29 1.0k
Bart P. Lomans 345 0.6× 289 0.7× 172 0.6× 233 0.9× 147 1.1× 23 994
Olivier Nercessian 644 1.2× 414 1.0× 472 1.7× 215 0.8× 69 0.5× 20 1.1k
Jennifer Pratscher 573 1.0× 319 0.8× 429 1.6× 219 0.9× 107 0.8× 24 1.1k
Yuanfeng Cai 326 0.6× 340 0.8× 230 0.8× 179 0.7× 79 0.6× 38 931
Cameron M. Callbeck 418 0.7× 244 0.6× 154 0.6× 279 1.1× 76 0.5× 23 922
Hryhoriy Stryhanyuk 373 0.7× 190 0.5× 264 1.0× 139 0.5× 58 0.4× 30 981
Rolf Schauder 351 0.6× 321 0.8× 444 1.6× 132 0.5× 127 0.9× 14 973
Verona Vandieken 653 1.2× 486 1.2× 286 1.0× 160 0.6× 38 0.3× 27 1.1k
Laurent M.A.A. Toffin 549 1.0× 489 1.2× 351 1.3× 70 0.3× 79 0.6× 30 1000

Countries citing papers authored by Takeshi Terada

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Terada

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026