Ken Hatanaka

640 total citations
9 papers, 454 citations indexed

About

Ken Hatanaka is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ken Hatanaka has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ken Hatanaka's work include Ubiquitin and proteasome pathways (4 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Mitochondrial Function and Pathology (2 papers). Ken Hatanaka is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Mitochondrial Function and Pathology (2 papers). Ken Hatanaka collaborates with scholars based in Japan, United States and France. Ken Hatanaka's co-authors include Hiroshi Takagi, Ikuko Yao, Nobuhiro Morone, Grant R. MacGregor, Shigeki Yuasa, Koji Ikegami, Mitsutoshi Setou, Mitsutoshi Setou, Kaoru Inokuchi and Showbu Sato and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Ken Hatanaka

8 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Hatanaka Japan	7	332	207	109	89	35	9	454
David A. Keays United Kingdom	14	589 1.8×	95 0.5×	93 0.9×	149 1.7×	19 0.5×	20	726
Benoît Lectez Spain	15	405 1.2×	92 0.4×	114 1.0×	100 1.1×	14 0.4×	20	653
Vanesa M. Tomatis Australia	10	329 1.0×	234 1.1×	74 0.7×	34 0.4×	18 0.5×	12	438
Constanze Reinhard Germany	9	331 1.0×	233 1.1×	57 0.5×	30 0.3×	20 0.6×	12	535
D T Pang United States	10	545 1.6×	204 1.0×	191 1.8×	36 0.4×	29 0.8×	10	688
Robert G. Mealer United States	11	412 1.2×	82 0.4×	177 1.6×	66 0.7×	34 1.0×	18	610
Magali Gillard Belgium	4	378 1.1×	120 0.6×	109 1.0×	39 0.4×	4 0.1×	5	506
Yuechueng Liu United States	13	503 1.5×	318 1.5×	239 2.2×	39 0.4×	8 0.2×	20	692
Chialin Cheng United States	6	255 0.8×	57 0.3×	113 1.0×	17 0.2×	20 0.6×	7	379
Momchil Ninov Germany	11	263 0.8×	87 0.4×	64 0.6×	15 0.2×	32 0.9×	14	397

Countries citing papers authored by Ken Hatanaka

Since Specialization

Citations

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

Fields of papers citing papers by Ken Hatanaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Hatanaka

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

All Works

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9 of 9 papers shown

Fukushima, Kazuyuki, Ken Hatanaka, Koji Sagane, & Katsutoshi Ido. (2020). Inhibitory effect of anti-seizure medications on ionotropic glutamate receptors: special focus on AMPA receptor subunits. Epilepsy Research. 167. 106452–106452. 22 indexed citations

Naganuma, Atsushi, et al.. (2016). A case of bleeding small intestinal diverticulosis in which abdominal CT was useful in the diagnosis and treatment. Progress of Digestive Endoscopy. 89(1). 126–127.

Yang, Hyun‐Jeong, Hiroshi Takagi, Yoshiyuki Konishi, et al.. (2008). Transmembrane and Ubiquitin-Like Domain-Containing Protein 1 (Tmub1/HOPS) Facilitates Surface Expression of GluR2-Containing AMPA Receptors. PLoS ONE. 3(7). e2809–e2809. 24 indexed citations

Yao, Ikuko, Hiroshi Takagi, Hiroshi Ageta, et al.. (2007). SCRAPPER-Dependent Ubiquitination of Active Zone Protein RIM1 Regulates Synaptic Vesicle Release. Cell. 131(1). 190–190. 7 indexed citations

Yao, Ikuko, Hiroshi Takagi, Hiroshi Ageta, et al.. (2007). SCRAPPER-Dependent Ubiquitination of Active Zone Protein RIM1 Regulates Synaptic Vesicle Release. Cell. 130(5). 943–957. 165 indexed citations

Ikegami, Koji, Midori Taruishi, Hiroshi Takagi, et al.. (2007). Loss of α-tubulin polyglutamylation in ROSA22 mice is associated with abnormal targeting of KIF1A and modulated synaptic function. Proceedings of the National Academy of Sciences. 104(9). 3213–3218. 189 indexed citations

Hatanaka, Ken, Koji Ikegami, Hiroshi Takagi, & Mitsutoshi Setou. (2006). Hypo-osmotic shock induces nuclear export and proteasome-dependent decrease of UBL5. Biochemical and Biophysical Research Communications. 350(3). 610–615. 17 indexed citations

Kato, Tadafumi, et al.. (1997). Purification and Characterization of Endo- -N-Acetylglucosaminidase from Hen Oviduct. The Journal of Biochemistry. 122(6). 1167–1173. 24 indexed citations

Kaushal, Gagan, Irena Pastuszak, Ken Hatanaka, & Alan D. Elbein. (1989). Plant glucosidase II catalyzes a transglucosylation reaction in addition to the hydrolytic reaction. Archives of Biochemistry and Biophysics. 272(2). 481–487. 6 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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