Daisuke Ishibashi

1.9k total citations · 1 hit paper
54 papers, 1.4k citations indexed

About

Daisuke Ishibashi is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daisuke Ishibashi has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daisuke Ishibashi's work include Prion Diseases and Protein Misfolding (32 papers), Neurological diseases and metabolism (8 papers) and RNA regulation and disease (7 papers). Daisuke Ishibashi is often cited by papers focused on Prion Diseases and Protein Misfolding (32 papers), Neurological diseases and metabolism (8 papers) and RNA regulation and disease (7 papers). Daisuke Ishibashi collaborates with scholars based in Japan, United States and Türkiye. Daisuke Ishibashi's co-authors include Noriyuki Nishida, Takehiro Nakagaki, Ryuichiro Atarashi, Katsuya Satoh, Kazunori Sano, Takayuki Fuse, Naohiro Yamaguchi, Hitoki Yamanaka, Takehiro Matsubara and Masahito Yamada and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Blood.

In The Last Decade

Daisuke Ishibashi

52 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultrasensitive human prion detection in cerebrospinal fluid by real-time quaking-induced conversion

2011 427 citations Ryuichiro Atarashi, Katsuya Satoh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daisuke Ishibashi Japan	22	939	402	248	240	181	54	1.4k
William A. Taylor Canada	23	979 1.0×	97 0.2×	308 1.2×	330 1.4×	75 0.4×	63	1.7k
Mari L. DeMarco Canada	22	1.3k 1.3×	219 0.5×	335 1.4×	123 0.5×	240 1.3×	63	1.9k
Valerie L. Sim Canada	20	1.6k 1.7×	640 1.6×	507 2.0×	137 0.6×	492 2.7×	51	2.0k
Anja Meißner Germany	23	475 0.5×	212 0.5×	158 0.6×	173 0.7×	33 0.2×	50	1.5k
Gordon A. Jamieson United States	26	1.4k 1.5×	290 0.7×	568 2.3×	81 0.3×	79 0.4×	46	2.6k
Steven Lynham United Kingdom	18	753 0.8×	103 0.3×	449 1.8×	46 0.2×	41 0.2×	49	1.4k
Sergey Reverdatto United States	19	885 0.9×	67 0.2×	161 0.6×	54 0.2×	65 0.4×	31	1.6k
David S. Burz United States	26	1.7k 1.8×	58 0.1×	166 0.7×	59 0.2×	83 0.5×	59	2.5k
A. Fasano Italy	20	507 0.5×	118 0.3×	61 0.2×	50 0.2×	73 0.4×	37	989
Peng Luan United States	21	718 0.8×	89 0.2×	135 0.5×	46 0.2×	110 0.6×	30	1.8k

Countries citing papers authored by Daisuke Ishibashi

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Ishibashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ishibashi

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

All Works

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20 of 20 papers shown

Mori, Takeshi, Miyako Yoshida, Mai Hazekawa, et al.. (2021). Antimicrobial Activities of LL-37 Fragment Mutant-Poly (Lactic-Co-Glycolic) Acid Conjugate against Staphylococcus aureus, Escherichia coli, and Candida albicans. International Journal of Molecular Sciences. 22(10). 5097–5097. 9 indexed citations

Mori, Takeshi, Miyako Yoshida, Mai Hazekawa, et al.. (2021). Targeted Delivery of Miconazole Employing LL37 Fragment Mutant Peptide CKR12-Poly (Lactic-Co-Glycolic) Acid Polymeric Micelles. International Journal of Molecular Sciences. 22(21). 12056–12056. 4 indexed citations

Hazekawa, Mai, et al.. (2021). Enhancing the anticancer efficacy of a LL-37 peptide fragment analog using peptide-linked PLGA conjugate micelles in tumor cells. International Journal of Pharmaceutics. 606. 120891–120891. 17 indexed citations

Fuse, Takayuki, Takehiro Nakagaki, Takujiro Homma, et al.. (2021). Dextran sulphate inhibits an association of prions with plasma membrane at the early phase of infection. Neuroscience Research. 171. 34–40. 2 indexed citations

Hazekawa, Mai, et al.. (2021). Preparation of siRNA–PLGA/Fabʹ–PLGA mixed micellar system with target cell-specific recognition. Scientific Reports. 11(1). 16789–16789. 11 indexed citations

Matsubara, Takehiro, Katsuya Satoh, Takujiro Homma, et al.. (2020). Prion protein interacts with the metabotropic glutamate receptor 1 and regulates the organization of Ca2+ signaling. Biochemical and Biophysical Research Communications. 525(2). 447–454. 9 indexed citations

Ishibashi, Daisuke, Takeshi Ishikawa, Satoshi Mizuta, et al.. (2020). Novel Compounds Identified by Structure-Based Prion Disease Drug Discovery Using In Silico Screening Delay the Progression of an Illness in Prion-Infected Mice. Neurotherapeutics. 17(4). 1836–1849. 2 indexed citations

Mori, Tsuyoshi, Ryuichiro Atarashi, Katsuya Satoh, et al.. (2016). A direct assessment of human prion adhered to steel wire using real-time quaking-induced conversion. Scientific Reports. 6(1). 24993–24993. 22 indexed citations

Homma, Takujiro, Daisuke Ishibashi, Takehiro Nakagaki, et al.. (2015). Ubiquitin-specific protease 14 modulates degradation of cellular prion protein. Scientific Reports. 5(1). 11028–11028. 44 indexed citations

10.

Homma, Takujiro, Daisuke Ishibashi, Takehiro Nakagaki, et al.. (2014). Persistent prion infection disturbs the function of Oct-1, resulting in the down-regulation of murine interferon regulatory factor-3. Scientific Reports. 4(1). 6006–6006. 5 indexed citations

11.

Tomita, Naoto, Hirotaka Takasaki, Daisuke Ishibashi, et al.. (2014). Intrathecal methotrexate prophylaxis and central nervous system relapse in patients with diffuse large B-cell lymphoma following rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone. Leukemia & lymphoma. 56(3). 725–729. 19 indexed citations

12.

Nakagaki, Takehiro, Katsuya Satoh, Daisuke Ishibashi, et al.. (2013). FK506 reduces abnormal prion protein through the activation of autolysosomal degradation and prolongs survival in prion-infected mice. Autophagy. 9(9). 1386–1394. 78 indexed citations

13.

Hashiguchi, Shuhei, Daisuke Ishibashi, Kazuyuki Akasaka, et al.. (2012). Direct Evidence of Generation and Accumulation of β-Sheet-rich Prion Protein in Scrapie-infected Neuroblastoma Cells with Human IgG1 Antibody Specific for β-Form Prion Protein. Journal of Biological Chemistry. 287(17). 14023–14039. 5 indexed citations

14.

Sakaguchi, Suehiro, Daisuke Ishibashi, & Haruo Matsuda. (2009). Antibody-based immunotherapeutic attempts in experimental animal models of prion diseases. Expert Opinion on Therapeutic Patents. 19(7). 907–917. 5 indexed citations

15.

Yoshikawa, Daisuke, Naohiro Yamaguchi, Daisuke Ishibashi, et al.. (2008). Dominant-negative Effects of the N-terminal Half of Prion Protein on Neurotoxicity of Prion Protein-like Protein/Doppel in Mice. Journal of Biological Chemistry. 283(35). 24202–24211. 21 indexed citations

16.

Hatip‐Al‐Khatib, Izzettin, Katsunori Iwasaki, Nobuaki Egashira, et al.. (2007). Comparison of Single- and Repeated-Ischemia-Induced Changes in Expression of Flip and Flop Splice Variants of AMPA Receptor Subtypes GluR1 and GluR2 in the Rats Hippocampus CA1 Subregion. Journal of Pharmacological Sciences. 103(1). 83–91. 9 indexed citations

17.

Ishibashi, Daisuke, Hitoki Yamanaka, Naohiro Yamaguchi, et al.. (2006). Immunization with recombinant bovine but not mouse prion protein delays the onset of disease in mice inoculated with a mouse-adapted prion. Vaccine. 25(6). 985–992. 35 indexed citations

18.

Ishibashi, Daisuke, Naohiro Yamaguchi, Daisuke Yoshikawa, et al.. (2006). Enhanced mucosal immunogenicity of prion protein following fusion with B subunit of Escherichia coli heat-labile enterotoxin. Vaccine. 24(15). 2815–2823. 24 indexed citations

19.

Iwasaki, Katsunori, Kenichi Mishima, Nobuaki Egashira, et al.. (2003). Effect of Nilvadipine on the Cerebral Ischemia-Induced Impairment of Spatial Memory and Hippocampal Apoptosis in Rats. Journal of Pharmacological Sciences. 93(2). 188–196. 18 indexed citations

20.

Irie, Keiichi, Kenichi Mishima, Daisuke Ishibashi, et al.. (2002). Involvement of bcl-family expression in the spatial memory impairment induced by repeated ischemia. Life Sciences. 72(4-5). 621–629. 7 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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