Kazuki Hashiba

548 total citations
8 papers, 432 citations indexed

About

Kazuki Hashiba is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kazuki Hashiba has authored 8 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Infectious Diseases and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Kazuki Hashiba's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Kazuki Hashiba is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Kazuki Hashiba collaborates with scholars based in Japan. Kazuki Hashiba's co-authors include Hideyoshi Harashima, Yusuke Sato, Masatoshi Maeki, Manabu Tokeshi, Kosuke Sasaki and Yuichi Suzuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Journal of Controlled Release.

In The Last Decade

Kazuki Hashiba

8 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kazuki Hashiba Japan	7	368	66	63	57	53	8	432
Hyein Jung South Korea	6	289 0.8×	64 1.0×	40 0.6×	41 0.7×	45 0.8×	12	393
Janet R. Phelps United States	5	294 0.8×	72 1.1×	81 1.3×	101 1.8×	46 0.9×	6	463
Daria Strelkova Russia	5	285 0.8×	66 1.0×	33 0.5×	48 0.8×	53 1.0×	20	342
Ana Cristian United States	6	280 0.8×	36 0.5×	37 0.6×	40 0.7×	40 0.8×	6	332
Mariah L. Arral United States	8	442 1.2×	103 1.6×	68 1.1×	55 1.0×	73 1.4×	14	548
Samuel T. LoPresti United States	4	320 0.9×	76 1.2×	52 0.8×	38 0.7×	57 1.1×	4	391
E. Sathyajith Kumarasinghe United States	3	555 1.5×	138 2.1×	36 0.6×	105 1.8×	92 1.7×	4	634
Kieu Lam Canada	6	290 0.8×	67 1.0×	26 0.4×	92 1.6×	40 0.8×	9	365
Rebecca L. McClellan United States	6	606 1.6×	88 1.3×	68 1.1×	78 1.4×	159 3.0×	8	653
Ester Álvarez‐Benedicto United States	6	371 1.0×	83 1.3×	39 0.6×	51 0.9×	73 1.4×	7	464

Countries citing papers authored by Kazuki Hashiba

Since Specialization

Citations

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

Fields of papers citing papers by Kazuki Hashiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuki Hashiba

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Hashiba. A scholar is included among the top collaborators of Kazuki Hashiba 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 Kazuki Hashiba. Kazuki Hashiba 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:

8 of 8 papers shown

Hashiba, Kazuki, et al.. (2024). Impact of Lipid Tail Length on the Organ Selectivity of mRNA-Lipid Nanoparticles. Nano Letters. 16 indexed citations

Hashiba, Kazuki, et al.. (2024). Overcoming thermostability challenges in mRNA–lipid nanoparticle systems with piperidine-based ionizable lipids. Communications Biology. 7(1). 556–556. 36 indexed citations

Hashiba, Kazuki, et al.. (2023). Branching Ionizable Lipids Can Enhance the Stability, Fusogenicity, and Functional Delivery of mRNA. Small Science. 3(1). 4 indexed citations

Hashiba, Kazuki, et al.. (2022). Branching Ionizable Lipids Can Enhance the Stability, Fusogenicity, and Functional Delivery of mRNA. SHILAP Revista de lepidopterología. 3(1). 2200071–2200071. 63 indexed citations

Sato, Yusuke, et al.. (2020). Different kinetics for the hepatic uptake of lipid nanoparticles between the apolipoprotein E/low density lipoprotein receptor and the N-acetyl-d-galactosamine/asialoglycoprotein receptor pathway. Journal of Controlled Release. 322. 217–226. 72 indexed citations

Sato, Yusuke, Kazuki Hashiba, Kosuke Sasaki, et al.. (2019). Understanding structure-activity relationships of pH-sensitive cationic lipids facilitates the rational identification of promising lipid nanoparticles for delivering siRNAs in vivo. Journal of Controlled Release. 295. 140–152. 153 indexed citations

Sato, Yusuke, et al.. (2019). Hydrophobic scaffolds of pH-sensitive cationic lipids contribute to miscibility with phospholipids and improve the efficiency of delivering short interfering RNA by small-sized lipid nanoparticles. Acta Biomaterialia. 102. 341–350. 48 indexed citations

Hashiba, Kazuki, Yusuke Sato, & Hideyoshi Harashima. (2017). pH-labile PEGylation of siRNA-loaded lipid nanoparticle improves active targeting and gene silencing activity in hepatocytes. Journal of Controlled Release. 262. 239–246. 40 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.

Explore authors with similar magnitude of impact