Akihiro Kishimura

5.0k total citations · 1 hit paper
117 papers, 4.1k citations indexed

About

Akihiro Kishimura is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Akihiro Kishimura has authored 117 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 37 papers in Biomaterials and 25 papers in Organic Chemistry. Recurrent topics in Akihiro Kishimura's work include Nanoparticle-Based Drug Delivery (29 papers), RNA Interference and Gene Delivery (22 papers) and Polymer Surface Interaction Studies (20 papers). Akihiro Kishimura is often cited by papers focused on Nanoparticle-Based Drug Delivery (29 papers), RNA Interference and Gene Delivery (22 papers) and Polymer Surface Interaction Studies (20 papers). Akihiro Kishimura collaborates with scholars based in Japan, Taiwan and United States. Akihiro Kishimura's co-authors include Kazunori Kataoka, Takashi Yamashita, Takuzo Aida, Yasutaka Anraku, Yuichi Yamasaki, Kentaro Yamaguchi, Kensuke Osada, Aya Koide, Nobuhiro Nishiyama and Yoshiki Katayama and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Materials.

In The Last Decade

Akihiro Kishimura

108 papers receiving 4.1k 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.

Rewritable phosphorescent paper by the control of competing kinetic and thermodynamic self-assembling events

2005 552 citations Akihiro Kishimura et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akihiro Kishimura Japan	29	1.6k	1.5k	1.5k	1.1k	978	117	4.1k
Guosong Chen China	39	2.3k 1.4×	2.4k 1.6×	1.6k 1.1×	1.5k 1.4×	1.1k 1.2×	176	5.7k
Andreas M. Nyström Sweden	29	1.3k 0.8×	1.8k 1.2×	1.3k 0.9×	1.6k 1.4×	1.2k 1.3×	46	5.0k
Kyoung Taek Kim South Korea	32	1.0k 0.6×	1.8k 1.2×	1.2k 0.8×	631 0.6×	530 0.5×	76	3.2k
Tooru Ooya Japan	44	1.5k 0.9×	2.6k 1.7×	1.2k 0.8×	1.3k 1.2×	929 0.9×	168	5.2k
Cornelia G. Palivan Switzerland	46	2.2k 1.3×	2.6k 1.7×	1.6k 1.1×	2.5k 2.3×	1.9k 2.0×	193	6.9k
Sergey K. Filippov Czechia	33	1.1k 0.7×	1.2k 0.8×	540 0.4×	709 0.6×	615 0.6×	124	3.0k
Guhuan Liu China	28	1.2k 0.7×	1.4k 0.9×	1.0k 0.7×	791 0.7×	1.2k 1.2×	50	3.1k
Jonathan C. Barnes United States	30	1.2k 0.7×	2.0k 1.4×	2.5k 1.7×	900 0.8×	893 0.9×	72	4.9k
Christophe Schatz France	31	1.9k 1.2×	1.4k 0.9×	553 0.4×	1.1k 1.0×	876 0.9×	64	3.8k
Marc A. Gauthier Canada	35	981 0.6×	1.5k 1.0×	695 0.5×	1.5k 1.3×	632 0.6×	100	4.2k

Countries citing papers authored by Akihiro Kishimura

Since Specialization

Citations

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

Fields of papers citing papers by Akihiro Kishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Kishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Kishimura. A scholar is included among the top collaborators of Akihiro Kishimura 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 Akihiro Kishimura. Akihiro Kishimura 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

Hamada, Y., Hiroshi Yoshikawa, Yuji Higaki, et al.. (2025). Thermosensitive Nanostructured Coacervates Developed by Mixing ABA‐ and AB‐Block Copolymers and Their Unique Sustained Release of Nano‐Micelles in a Regulated Manner. Small. e05876–e05876.

Yoritate, Makoto, Go Hirai, Takamasa Teramoto, et al.. (2024). Orthogonality of α-Sulfoquinovosidase in Human Cells and Development of Its Fluorescent Substrate. Sensors and Materials. 36(8). 3227–3227. 1 indexed citations

Yamada, Takumi, Ikuhiko Nakase, Teruki Nii, et al.. (2024). Effective design of PEGylated polyion complex (PIC) nanoparticles for enhancing PIC internalisation in cells utilising block copolymer combinations with mismatched ionic chain lengths. Journal of Materials Chemistry B. 12(7). 1826–1836. 2 indexed citations

Nii, Teruki, et al.. (2023). Dynamic frustrated charge hotspots created by charge density modulation sequester globular proteins into complex coacervates. Chemical Science. 14(24). 6608–6620. 11 indexed citations

Kishimura, Akihiro, et al.. (2022). Dietary Problems Are Associated with Frailty Status in Older People with Fewer Teeth in Japan. International Journal of Environmental Research and Public Health. 19(23). 16260–16260. 4 indexed citations

Sasaki, Koichi, Atsuhiko Taniguchi, Akihiro Kishimura, et al.. (2021). Synthesis and biological evaluation of a monocyclic Fc-binding antibody-recruiting molecule for cancer immunotherapy. RSC Medicinal Chemistry. 12(3). 406–409. 6 indexed citations

Yoshikawa, Takuma, et al.. (2020). Modification of nitric oxide donors onto a monoclonal antibody boosts accumulation in solid tumors. International Journal of Pharmaceutics. 583. 119352–119352. 2 indexed citations

Kim, Beob Soo, Mitsuru Naito, Hyun Jin Kim, et al.. (2020). Photo-reactive oligodeoxynucleotide-embedded nanovesicles (PROsomes) with switchable stability for efficient cellular uptake and gene knockdown. Chemical Communications. 56(66). 9477–9480. 3 indexed citations

Maruyama, Katsuya, Koichi Sasaki, Akihiro Kishimura, et al.. (2020). Induction of ADCC by a folic acid–mAb conjugate prepared by tryptophan-selective reaction toward folate-receptor-positive cancer cells. RSC Advances. 10(28). 16727–16731. 9 indexed citations

10.

Sasaki, Koichi, et al.. (2020). Fc-binding antibody-recruiting molecules exploit endogenous antibodies for anti-tumor immune responses. Chemical Science. 11(12). 3208–3214. 17 indexed citations

11.

Sasaki, Koichi, Takuma Yoshikawa, Yui Harada, et al.. (2020). Fc‐Binding Antibody‐Recruiting Molecules Targeting Prostate‐Specific Membrane Antigen: Defucosylation of Antibody for Efficacy Improvement**. ChemBioChem. 22(3). 496–500. 9 indexed citations

12.

Shimizu, Taro, Ryo Miyahara, Daisuke Asai, et al.. (2020). Blood retention and antigenicity of polycarboxybetaine-modified liposomes. International Journal of Pharmaceutics. 586. 119521–119521. 14 indexed citations

13.

Kim, Beob Soo, Mitsuru Naito, Mao Hori, et al.. (2020). Noncovalent Stabilization of Vesicular Polyion Complexes with Chemically Modified/Single-Stranded Oligonucleotides and PEG-b-guanidinylated Polypeptides for Intracavity Encapsulation of Effector Enzymes Aimed at Cooperative Gene Knockdown. Biomacromolecules. 21(10). 4365–4376. 17 indexed citations

14.

Kim, Beob Soo, Tomoya Suma, Yasutaka Anraku, et al.. (2019). Self-Assembly of siRNA/PEG-b-Catiomer at Integer Molar Ratio into 100 nm-Sized Vesicular Polyion Complexes (siRNAsomes) for RNAi and Codelivery of Cargo Macromolecules. Journal of the American Chemical Society. 141(8). 3699–3709. 54 indexed citations

15.

Sasaki, Koichi, Daisuke Asai, Daiki Funamoto, et al.. (2018). A peptide inhibitor of antibody-dependent cell-mediated cytotoxicity against EGFR/folate receptor-α double positive cells. MedChemComm. 9(5). 783–788. 6 indexed citations

16.

Hori, Mao, Horacio Cabral, Kazuko Toh, Akihiro Kishimura, & Kazunori Kataoka. (2018). Robust Polyion Complex Vesicles (PICsomes) under Physiological Conditions Reinforced by Multiple Hydrogen Bond Formation Derived by Guanidinium Groups. Biomacromolecules. 19(10). 4113–4121. 39 indexed citations

17.

Yen, Hung‐Chi, Yasutaka Anraku, Shigeto Fukushima, et al.. (2017). Facile Preparation of Delivery Platform of Water-Soluble Low-Molecular-Weight Drugs Based on Polyion Complex Vesicle (PICsome) Encapsulating Mesoporous Silica Nanoparticle. ACS Biomaterials Science & Engineering. 3(5). 807–815. 15 indexed citations

18.

Hollamby, Martin J., Melanie M. Britton, A. E. Danks, et al.. (2017). The aggregation of an alkyl–C₆₀derivative as a function of concentration, temperature and solvent type. Physical Chemistry Chemical Physics. 20(5). 3373–3380. 4 indexed citations

19.

Sasaki, Naoki, et al.. (2013). Characterization of nanoparticle permeability on a membrane-integrated microfluidic device. 3. 1818–1820. 1 indexed citations

20.

Kaida, Sachiko, Horacio Cabral, Michiaki Kumagai, et al.. (2010). Visible Drug Delivery by Supramolecular Nanocarriers Directing to Single-Platformed Diagnosis and Therapy of Pancreatic Tumor Model. Cancer Research. 70(18). 7031–7041. 101 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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