T. Wada

37 total papers · 1.3k total citations
23 papers, 1.0k citations indexed

About

T. Wada is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, T. Wada has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 6 papers in Plant Science. Recurrent topics in T. Wada's work include Organic Light-Emitting Diodes Research (4 papers), Conducting polymers and applications (4 papers) and Pulsars and Gravitational Waves Research (4 papers). T. Wada is often cited by papers focused on Organic Light-Emitting Diodes Research (4 papers), Conducting polymers and applications (4 papers) and Pulsars and Gravitational Waves Research (4 papers). T. Wada collaborates with scholars based in Japan, Germany and Taiwan. T. Wada's co-authors include K. Okada, Hisahiro Sasabe, Viktor Kirik, Swen Schellmann, Gerd Jürgens, Arp Schnittger, Anke Beermann, Martin Hülskamp, Seizo Miyata and Tao Xu and has published in prestigious journals such as Journal of the American Chemical Society, The EMBO Journal and Applied Physics Letters.

In The Last Decade

T. Wada

23 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
T. Wada	586	552	243	163	113	23	1.0k
Lujiang Li	380 0.6×	208 0.4×	195 0.8×	235 1.4×	16 0.1×	35	918
Adrien Lerbret	166 0.3×	342 0.6×	79 0.3×	296 1.8×	90 0.8×	31	1.2k
Guo‐Zhang Wu	296 0.5×	481 0.9×	299 1.2×	374 2.3×	60 0.5×	32	1.2k
Yumei Zheng	510 0.9×	581 1.1×	140 0.6×	141 0.9×	12 0.1×	30	1.1k
Shiliang Zhou	137 0.2×	244 0.4×	385 1.6×	238 1.5×	88 0.8×	34	828
Tinku Basu	185 0.3×	469 0.8×	368 1.5×	141 0.9×	179 1.6×	42	974
Baowen Zhang	382 0.7×	432 0.8×	81 0.3×	313 1.9×	37 0.3×	63	1.2k
Wei Wang	242 0.4×	215 0.4×	178 0.7×	274 1.7×	114 1.0×	29	888
Yifan Huang	92 0.2×	171 0.3×	183 0.8×	286 1.8×	55 0.5×	42	795
Rongji Chen	60 0.1×	272 0.5×	192 0.8×	246 1.5×	101 0.9×	27	915

Countries citing papers authored by T. Wada

Since Specialization

Citations

This map shows the geographic impact of T. Wada'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 T. Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wada more than expected).

Fields of papers citing papers by T. Wada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Wada

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

All Works

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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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