Koki Nagayama

681 total citations
10 papers, 534 citations indexed

About

Koki Nagayama is a scholar working on Molecular Biology, Aquatic Science and Cell Biology. According to data from OpenAlex, Koki Nagayama has authored 10 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Aquatic Science and 2 papers in Cell Biology. Recurrent topics in Koki Nagayama's work include Seaweed-derived Bioactive Compounds (3 papers), Mitochondrial Function and Pathology (2 papers) and ATP Synthase and ATPases Research (2 papers). Koki Nagayama is often cited by papers focused on Seaweed-derived Bioactive Compounds (3 papers), Mitochondrial Function and Pathology (2 papers) and ATP Synthase and ATPases Research (2 papers). Koki Nagayama collaborates with scholars based in Japan, United Kingdom and Canada. Koki Nagayama's co-authors include Toshiyuki Shibata, Takashi Nakamura, Ken Fujimoto, Tetsuo Ohmachi, Christopher R. L. Thompson, Ryusuke Tanaka, Sei-ichi Ishiguro, Hideo Hatate, Hiroshi Ochiai and Takashi Nakamura and has published in prestigious journals such as Developmental Cell, Aquaculture and eLife.

In The Last Decade

Koki Nagayama

10 papers receiving 494 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Koki Nagayama Japan	7	313	168	107	98	72	10	534
Sandra Sperker Canada	11	190 0.6×	211 1.3×	46 0.4×	186 1.9×	38 0.5×	14	597
Houbo Wu China	14	94 0.3×	127 0.8×	46 0.4×	224 2.3×	63 0.9×	33	472
Prajna Paramita Bhuyan India	12	239 0.8×	108 0.6×	21 0.2×	100 1.0×	55 0.8×	14	443
Н. Г. Клочкова Russia	10	282 0.9×	69 0.4×	281 2.6×	83 0.8×	182 2.5×	39	577
Armando A. Salmeán Denmark	7	114 0.4×	101 0.6×	58 0.5×	50 0.5×	121 1.7×	9	345
Marta Monteiro Portugal	11	201 0.6×	79 0.5×	26 0.2×	62 0.6×	29 0.4×	24	391
George Emmanuel Cavalcanti de Miranda Brazil	12	245 0.8×	98 0.6×	120 1.1×	44 0.4×	48 0.7×	34	490
Se-Jin Lim South Korea	6	321 1.0×	71 0.4×	30 0.3×	52 0.5×	69 1.0×	8	422
Thipramalai Thankappan Ajith Kumar India	14	226 0.7×	85 0.5×	22 0.2×	70 0.7×	26 0.4×	20	519
Kevin J. Shaw Australia	10	79 0.3×	140 0.8×	34 0.3×	32 0.3×	100 1.4×	11	502

Countries citing papers authored by Koki Nagayama

Since Specialization

Citations

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

Fields of papers citing papers by Koki Nagayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koki Nagayama

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

All Works

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10 of 10 papers shown

Gruenheit, Nicole, Katie Parkinson, Koki Nagayama, et al.. (2018). Cell Cycle Heterogeneity Can Generate Robust Cell Type Proportioning. Developmental Cell. 47(4). 494–508.e4. 26 indexed citations

Nagayama, Koki, et al.. (2015). Dictyostelium acetoacetyl-CoA thiolase is a dual-localizing enzyme that localizes to peroxisomes, mitochondria and the cytosol. Microbiology. 161(7). 1471–1484. 1 indexed citations

Sugiura, Yoshimasa, Koki Nagayama, Yuichi Kinoshita, Ryusuke Tanaka, & Teruo Matsushita. (2014). The anti-allergic effect of the ethyl acetate fraction from anEcklonia kuromeextract. Food and Agricultural Immunology. 26(2). 181–193. 5 indexed citations

Nagayama, Koki, et al.. (2013). Developmental lineage priming in Dictyostelium by heterogeneous Ras activation. eLife. 2. e01067–e01067. 17 indexed citations

Tanaka, Takeshi, Yasuyuki Shima, Naoki Ogawa, et al.. (2011). Expression, Identification and Purification of Dictyostelium Acetoacetyl-CoA Thiolase Expressed in Escherichia coli. International Journal of Biological Sciences. 7(1). 9–17. 6 indexed citations

Nagayama, Koki & Tetsuo Ohmachi. (2009). Mitochondrial processing peptidase activity is controlled by the processing of α-MPP during development in Dictyostelium discoideum. Microbiology. 156(4). 978–989. 3 indexed citations

Nagayama, Koki, et al.. (2008). Antisense RNA Inhibition of the β Subunit of theDictyostelium discoideumMitochondrial Processing Peptidase Induces the Expression of Mitochondrial Proteins. Bioscience Biotechnology and Biochemistry. 72(7). 1836–1846. 16 indexed citations

Nagayama, Koki, et al.. (2003). Algicidal effect of phlorotannins from the brown alga Ecklonia kurome on red tide microalgae. Aquaculture. 218(1-4). 601–611. 119 indexed citations

Nagayama, Koki. (2002). Bactericidal activity of phlorotannins from the brown alga Ecklonia kurome. Journal of Antimicrobial Chemotherapy. 50(6). 889–893. 323 indexed citations

10.

Tanaka, Ryusuke, Toshiyuki Shibata, Nobutaka Suzuki, et al.. (2002). Accumulation of hydroxy lipids in live fish infected with fish diseases. Aquaculture. 211(1-4). 341–351. 18 indexed citations

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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