Akira Inada

86 total papers · 1.6k total citations
68 papers, 1.4k citations indexed

About

Akira Inada is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Akira Inada has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 29 papers in Plant Science and 10 papers in Organic Chemistry. Recurrent topics in Akira Inada's work include Phytochemistry and Biological Activities (21 papers), Phytochemical compounds biological activities (21 papers) and Natural product bioactivities and synthesis (21 papers). Akira Inada is often cited by papers focused on Phytochemistry and Biological Activities (21 papers), Phytochemical compounds biological activities (21 papers) and Natural product bioactivities and synthesis (21 papers). Akira Inada collaborates with scholars based in Japan, United States and Indonesia. Akira Inada's co-authors include Tsutomu Nakanishi, Hiroko Murata, Yuka Inatomi, Jin Murata, Dedy Darnaedi, Frank A. Lang, Munekazu Iinuma, Toŝhiyuki Tanaka, Harukuni Tokuda and Yasuhiro Kohama and has published in prestigious journals such as Phytochemistry, Tetrahedron Letters and Journal of Natural Products.

In The Last Decade

Akira Inada

68 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Akira Inada	943	498	203	190	151	68	1.4k
Otto Seligmann	905 1.0×	687 1.4×	170 0.8×	161 0.8×	184 1.2×	76	1.4k
Rémy Bertrand Teponno	814 0.9×	511 1.0×	178 0.9×	181 1.0×	179 1.2×	84	1.4k
Seung Hyun Kim	943 1.0×	423 0.8×	171 0.8×	160 0.8×	103 0.7×	109	1.5k
Quan Le Tran	792 0.8×	368 0.7×	295 1.5×	241 1.3×	186 1.2×	53	1.5k
Eun‐Kyoung Seo	658 0.7×	342 0.7×	236 1.2×	270 1.4×	132 0.9×	57	1.3k
Qi Tang	855 0.9×	577 1.2×	178 0.9×	276 1.5×	171 1.1×	81	1.6k
Eun Sook Yoo	756 0.8×	331 0.7×	202 1.0×	275 1.4×	191 1.3×	68	1.7k
Han‐Dong Sun	718 0.8×	643 1.3×	189 0.9×	283 1.5×	152 1.0×	58	1.3k
Dali Meng	861 0.9×	417 0.8×	277 1.4×	202 1.1×	134 0.9×	107	1.4k
Tsutomu Warashina	917 1.0×	591 1.2×	178 0.9×	117 0.6×	90 0.6×	68	1.5k

Countries citing papers authored by Akira Inada

Since Specialization

Citations

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

Fields of papers citing papers by Akira Inada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Inada

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Inada. A scholar is included among the top collaborators of Akira Inada 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 Akira Inada. Akira Inada 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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