Ken Nishikawa

6.3k total citations
112 papers, 4.7k citations indexed

About

Ken Nishikawa is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Ken Nishikawa has authored 112 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 28 papers in Materials Chemistry and 15 papers in Cell Biology. Recurrent topics in Ken Nishikawa's work include Protein Structure and Dynamics (57 papers), RNA and protein synthesis mechanisms (31 papers) and Enzyme Structure and Function (28 papers). Ken Nishikawa is often cited by papers focused on Protein Structure and Dynamics (57 papers), RNA and protein synthesis mechanisms (31 papers) and Enzyme Structure and Function (28 papers). Ken Nishikawa collaborates with scholars based in Japan, Spain and United States. Ken Nishikawa's co-authors include Tatsuo Ooi, Hiroshi Nakashima, Satoshi Fukuchi, Keiichi Homma, Hiroshi Nakashima, Yuji Goto, Kentaro Shiraki, Akira R. Kinjo, Yoshiaki Minezaki and Motonori Ota and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Ken Nishikawa

110 papers receiving 4.6k citations

Peers

Countries citing papers authored by Ken Nishikawa

Since Specialization

Citations

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

Fields of papers citing papers by Ken Nishikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Nishikawa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A novel risk score model for predicting mortality in heart failure with preserved ejection fraction: Insights from the CURE-HF Registry–ApHAC score 2025 ·PLoS ONE ·(unknown), (unknown), Masatoshi Minamisawa, Koji Yoshie, Ken Nishikawa, (unknown), Kazuhiro Kimura, Yasushi Ueki, (unknown), (unknown), Tatsuya Saigusa, Soichiro Ebisawa, Ayako Okada, Hirohiko Motoki, Koichiro Kuwahara	0
2	IMPACT OF HYPERURICEMIA ON PATIENTS WITH DIABETES MELLITUS WHO UNDERWENT PERCUTANEOUS CORONARY INTERVENTION 2019 ·Journal of the American College of Cardiology ·Ken Nishikawa, (unknown), Takashi Miura, Koki Fujimori, (unknown), (unknown), (unknown), Chié Nakamura, (unknown), (unknown), Hideki Kobayashi, Takahiro Sakai, (unknown), (unknown), Tatsuya Saigusa, Soichiro Ebisawa, Ayako Okada, Hirohiko Motoki, Koichiro Kuwahara	1
3	Mechanism of evolution by genetic assimilation 2018 ·Biophysical Reviews ·Ken Nishikawa, Akira R. Kinjo	30
4	Intrinsically disordered regions have specific functions in mitochondrial and nuclear proteins 2011 ·Molecular BioSystems ·Keiichi Homma, Satoshi Fukuchi, Ken Nishikawa, Shigetaka Sakamoto, Hideaki Sugawara	13
5	Human Transcription Factors Contain a High Fraction of Intrinsically Disordered Regions Essential for Transcriptional Regulation 2006 ·Journal of Molecular Biology ·Yoshiaki Minezaki, Keiichi Homma, Akira R. Kinjo, Ken Nishikawa	214
6	Stabilization of E. coli Ribonuclease HI by the ‘stability profile of mutant protein’ (SPMP)-inspired random and non-random mutagenesis 2006 ·Journal of Biotechnology ·Mitsuru Haruki, Yoshitaka Saito, Motonori Ota, Ken Nishikawa, Shigenori Kanaya	1
7	Eigenvalue analysis of amino acid substitution matrices reveals a sharp transition of the mode of sequence conservation in proteins 2004 ·Bioinformatics ·Akira R. Kinjo, Ken Nishikawa	34
8	Unique Amino Acid Composition of Proteins in Halophilic Bacteria 2003 ·Journal of Molecular Biology ·Satoshi Fukuchi, Kazuaki Yoshimune, Mamoru Wakayama, Mitsuaki Moriguchi, Ken Nishikawa	223
9	Comparison of energy components of proteins from thermophilic and mesophilic organisms 2001 ·European Biophysics Journal ·Akira R. Kinjo, Ken Nishikawa	5
10	Knowledge-based potential defined for a rotamer library to design protein sequences 2001 ·Protein Engineering Design and Selection ·Motonori Ota, Yasuhiro Isogai, Ken Nishikawa	28
11	Expression and cDNA cloning of klp-12 gene encoding an ortholog of the chicken chromokinesin, mediating chromosome segregation in Caenorhabditis elegans 2000 ·BMB Reports ·(unknown), (unknown), (unknown), K. Kobayashi, Ken Nishikawa, Shahid Siddiqui	1
12	Assessment of pseudo-energy potentials by the best-five test: a new use of the three-dimensional profiles of proteins 1997 ·Protein Engineering Design and Selection ·Motonori Ota, Ken Nishikawa	31
13	Prediction of protein secondary structure using the 30D- 1D compatibility algorithm 1997 ·Computer applications in the biosciences ·Masahiro Ito, Yo Matsuo, Ken Nishikawa	42
14	SAKURA: A New Data Submission System of DDBJ to Meet Users' Needs in the Age of Mass Production of DNA Sequences 1996 ·Proceedings Genome Informatics Workshop/Genome informatics ·Hikaru Yamamoto, Takuro Tamura, Katsumi Isono, Takashi Gojobori, Hideaki Sugawara, Ken Nishikawa, Naruya Saitou, Tadashi Imanishi, (unknown), Kazuho Ikeo	2
15	Trifluoroethanol-induced Stabilization of the α-Helical Structure of β-Lactoglobulin: Implication for Non-hierarchical Protein Folding 1995 ·Journal of Molecular Biology ·Kentaro Shiraki, Ken Nishikawa, Yuji Goto	410
16	Exclusive Expression of Kinesin Gene in Chemosnsory Neurons Open to the External Environment 1995 ·Journal of Molecular Biology ·Mohammad Tabish, Zeba K. Siddiqui, Ken Nishikawa, Shahid S. Siddiqui	107
17	A geometrical constraint approach for reproducing the native backbone conformation of a protein 1993 ·Proteins Structure Function and Bioinformatics ·(unknown), Takahisa Nakai, Ken Nishikawa	31
18	Characteristics of the Principal Neutralizing Determinant of HIV-1 Prevalent in Japan 1991 ·AIDS Research and Human Retroviruses ·Toshio Hattori, (unknown), Yasuyuki Eda, Sachio Tokiyoshi, (unknown), Hiroshi Inaba, M Fujimaki, Takashi Meguro, Kaneo Yamada, Mitsuo Honda, Ken Nishikawa, Kiyoshi Takatsuki	19
19	Dual inhibitors of thromboxane A2 synthase and 5-lipoxygenase with scavenging activity of active oxygen species (AOS). Synthesis of a novel series of (3-pyridylmethyl)benzoquinone derivatives 1991 ·Journal of Medicinal Chemistry ·Shigenori Ohkawa, Shuji Terao, Zen‐ichi Terashita, Yumiko Shibouta, Ken Nishikawa	42
20	Method for Energy Computation of Protein Structures : A Set of Amino Acid Geometries and Energy Parameters (Commemoration Issue Dedicated to Professor Tatsuo Yamamoto on the Occasion of his Retirement) 1980 ·Kyoto University Research Information Repository (Kyoto University) ·Ken Nishikawa, Motohisa Oobatake, Tatsuo Ooi	1

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.

Explore authors with similar magnitude of impact