Yusuke Mimura

3.6k total citations · 2 hit papers
58 papers, 2.8k citations indexed

About

Yusuke Mimura is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yusuke Mimura has authored 58 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yusuke Mimura's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (17 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). Yusuke Mimura is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (17 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). Yusuke Mimura collaborates with scholars based in Japan, United Kingdom and United States. Yusuke Mimura's co-authors include Roy Jefferis, S. Krapp, P. Sondermann, Robert Huber, Pauline M. Rudd, Margaret Goodall, John Lund, Rodolfo Ghirlando, Raymond A. Dwek and Peter R. Ashton and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yusuke Mimura

55 papers receiving 2.7k 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.

Antibody Domain Exchange Is an Immunological Solution to Carbohydrate Cluster Recognition

2003 632 citations D.A. Calarese, Christopher N. Scanlan et al. Science profile →
Structural Analysis of Human IgG-Fc Glycoforms Reveals a Correlation Between Glycosylation and Structural Integrity

2003 530 citations S. Krapp, Yusuke Mimura et al. Journal of Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yusuke Mimura Japan	18	1.8k	1.4k	970	371	312	58	2.8k
John S. Haurum Denmark	26	1.1k 0.6×	717 0.5×	1.2k 1.2×	137 0.4×	131 0.4×	40	2.2k
Fabio Gallazzi United States	30	1.3k 0.7×	1.4k 1.0×	1.1k 1.1×	98 0.3×	127 0.4×	88	2.9k
Richard M. Bartholomew United States	28	1.1k 0.6×	1.2k 0.8×	895 0.9×	74 0.2×	89 0.3×	64	2.8k
Joëlle Wiels France	32	1.6k 0.9×	292 0.2×	1.1k 1.2×	111 0.3×	261 0.8×	91	3.3k
Daniel Christ Australia	31	2.0k 1.1×	1.3k 0.9×	1.3k 1.3×	88 0.2×	57 0.2×	78	3.7k
R Jefferis United Kingdom	26	1.5k 0.8×	2.0k 1.5×	1.4k 1.5×	61 0.2×	84 0.3×	73	3.2k
Aran F. Labrijn Netherlands	25	1.6k 0.9×	2.3k 1.6×	1.6k 1.7×	1.1k 3.1×	57 0.2×	36	3.9k
Hans de Haard Belgium	32	1.3k 0.7×	1.1k 0.8×	1.1k 1.1×	156 0.4×	22 0.1×	79	3.3k
John D. Pound United Kingdom	28	1.3k 0.7×	827 0.6×	1.7k 1.7×	38 0.1×	84 0.3×	52	3.0k
Lucy F. Pemberton United States	27	3.2k 1.8×	480 0.3×	813 0.8×	34 0.1×	303 1.0×	39	3.9k

Countries citing papers authored by Yusuke Mimura

Since Specialization

Citations

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

Fields of papers citing papers by Yusuke Mimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Mimura

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

Miyagi, Masayuki, Wataru Saito, Yusuke Mimura, et al.. (2023). Posterior Spinal Fusion Surgery for Neuromuscular Disease Patients with Severe Scoliosis Whose Cobb Angle Was over 100 Degrees. Medicina. 59(6). 1090–1090. 2 indexed citations

Shirasawa, Eiki, Wataru Saito, Masayuki Miyagi, et al.. (2023). Intraoperative Blood Loss at Different Surgical-Procedure Stages during Posterior Spinal Fusion for Idiopathic Scoliosis. Medicina. 59(2). 387–387. 4 indexed citations

Katayama, Hideki, Masahiro Tabata, Haruhito Kamei, Yusuke Mimura, & Yoshinobu Maeda. (2023). Relationship Between Corticosteroid Administration and Survival Period in Terminal Cancer Patients. Journal of Palliative Care. 39(3). 238–243. 1 indexed citations

Miyagi, Masayuki, Kentaro Uchida, Shotaro Takano, et al.. (2022). A High Body Mass Index and the Vacuum Phenomenon Upregulate Pain-Related Molecules in Human Degenerated Intervertebral Discs. International Journal of Molecular Sciences. 23(6). 2973–2973. 5 indexed citations

Mimura, Yusuke, Yuka Mimura‐Kimura, Radka Saldova, Pauline M. Rudd, & Roy Jefferis. (2022). Enhanced Immunomodulatory Effect of Intravenous Immunoglobulin by Fc Galactosylation and Nonfucosylation. Frontiers in Immunology. 13. 818382–818382. 17 indexed citations

Matsunaga, Takayuki, Masayuki Miyagi, Toshiyuki Nakazawa, et al.. (2021). Prevalence and Characteristics of Spinal Sagittal Malalignment in Patients with Osteoporosis. Journal of Clinical Medicine. 10(13). 2827–2827. 4 indexed citations

Mimura, Yusuke, Toshihiko Katoh, Radka Saldova, et al.. (2017). Glycosylation engineering of therapeutic IgG antibodies: challenges for the safety, functionality and efficacy. Protein & Cell. 9(1). 47–62. 157 indexed citations

Yamazaki, Hiroto, Satoshi Iwata, Toshihiro Okamoto, et al.. (2010). Identification of cancer stem cell markers in human malignant mesothelioma cells. Biochemical and Biophysical Research Communications. 404(2). 735–742. 67 indexed citations

Kim, Yun‐Gon, Dong‐Sik Shin, Yung‐Hun Yang, et al.. (2008). High-Throughput Screening of Glycan-Binding Proteins Using Miniature Pig Kidney N-Glycan-Immobilized Beads. Chemistry & Biology. 15(3). 215–223. 11 indexed citations

10.

Mimura, Yusuke, Peter R. Ashton, Noriko Takahashi, David J. Harvey, & Roy Jefferis. (2007). Contrasting glycosylation profiles between Fab and Fc of a human IgG protein studied by electrospray ionization mass spectrometry. Journal of Immunological Methods. 326(1-2). 116–126. 87 indexed citations

11.

Radcliffe, Catherine M., James N. Arnold, David M. Suter, et al.. (2006). Human Follicular Lymphoma Cells Contain Oligomannose Glycans in the Antigen-binding Site of the B-cell Receptor. Journal of Biological Chemistry. 282(10). 7405–7415. 106 indexed citations

12.

Calarese, D.A., Christopher N. Scanlan, Michael B. Zwick, et al.. (2003). Antibody Domain Exchange Is an Immunological Solution to Carbohydrate Cluster Recognition. Science. 300(5628). 2065–2071. 632 indexed citations breakdown →

13.

Krapp, S., Yusuke Mimura, Roy Jefferis, Robert Huber, & P. Sondermann. (2003). Structural Analysis of Human IgG-Fc Glycoforms Reveals a Correlation Between Glycosylation and Structural Integrity. Journal of Molecular Biology. 325(5). 979–989. 530 indexed citations breakdown →

14.

Mimura, Yusuke, Rodolfo Ghirlando, Peter Sondermann, John Lund, & Roy Jefferis. (2001). The molecular specificity of IgG-Fc interactions with Fcγ receptors. Advances in experimental medicine and biology. 495. 49–53. 10 indexed citations

15.

Mimura, Yusuke, Peter Sondermann, Rodolfo Ghirlando, et al.. (2001). Role of Oligosaccharide Residues of IgG1-Fc in FcγRIIb Binding. Journal of Biological Chemistry. 276(49). 45539–45547. 195 indexed citations

16.

Mimura, Yusuke, S. Church, Rodolfo Ghirlando, et al.. (2000). The influence of glycosylation on the thermal stability and effector function expression of human IgG1-Fc: properties of a series of truncated glycoforms. Molecular Immunology. 37(12-13). 697–706. 263 indexed citations

17.

Mimura, Yusuke, et al.. (1998). Evidence of intra‐ and extracellular modifications of monoclonal IgG polypeptide chains generating charge heterogeneity. Electrophoresis. 19(5). 767–775. 17 indexed citations

18.

Mimura, Yusuke, S Kobayashi, Kohei Notoya, et al.. (1995). Activation by .ALPHA.1-Adrenergic Agonists of the Progression Phase in the Proliferation of Primary Cultures of Smooth Muscle Cells in Mouse and Rat Aorta.. Biological and Pharmaceutical Bulletin. 18(10). 1373–1376. 17 indexed citations

19.

Kato, Tetsuya, et al.. (1990). Microbial contamination of stock solution for soft contact lens. 44(7). 1037–1040. 2 indexed citations

20.

Yuasa, Takeshi, et al.. (1977). [Immunoglobulins in vernal conjunctivitis (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 81(6). 536–9. 1 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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