Sakuya Nakamura

29 total papers · 824 total citations
16 papers, 597 citations indexed

About

Sakuya Nakamura is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Sakuya Nakamura has authored 16 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Epidemiology and 10 papers in Plant Science. Recurrent topics in Sakuya Nakamura's work include Photosynthetic Processes and Mechanisms (11 papers), Autophagy in Disease and Therapy (11 papers) and Plant responses to water stress (6 papers). Sakuya Nakamura is often cited by papers focused on Photosynthetic Processes and Mechanisms (11 papers), Autophagy in Disease and Therapy (11 papers) and Plant responses to water stress (6 papers). Sakuya Nakamura collaborates with scholars based in Japan, United States and United Kingdom. Sakuya Nakamura's co-authors include Masanori Izumi, H. Ishida, Jun Hidema, Shinya Hagihara, Wataru Sakamoto, Nan Li, Kohei Otomo, Tomomi Nemoto, Paul Jarvis and Yuta Kikuchi and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Chemical Communications.

In The Last Decade

Sakuya Nakamura

16 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Sakuya Nakamura	412	334	248	75	41	16	597
Qun Shao	450 1.1×	300 0.9×	57 0.2×	65 0.9×	19 0.5×	17	637
Marien Havé	481 1.2×	241 0.7×	141 0.6×	51 0.7×	22 0.5×	11	585
Yunting Pu	297 0.7×	311 0.9×	171 0.7×	23 0.3×	159 3.9×	21	589
Shino Goto‐Yamada	318 0.8×	400 1.2×	121 0.5×	72 1.0×	39 1.0×	22	597
Christin Naumann	435 1.1×	300 0.9×	67 0.3×	66 0.9×	54 1.3×	14	634
Matthew J. Lingard	175 0.4×	488 1.5×	91 0.4×	189 2.5×	27 0.7×	8	561
Christophe Der	451 1.1×	381 1.1×	94 0.4×	49 0.7×	81 2.0×	16	667
Shigeru Hanamata	555 1.3×	266 0.8×	115 0.5×	34 0.5×	18 0.4×	17	630
Wenjin Shen	471 1.1×	369 1.1×	86 0.3×	29 0.4×	68 1.7×	24	628
Liliana Ávila	476 1.2×	281 0.8×	106 0.4×	31 0.4×	11 0.3×	12	588

Countries citing papers authored by Sakuya Nakamura

Since Specialization

Citations

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

Fields of papers citing papers by Sakuya Nakamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakuya Nakamura

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