Takashi Angata

7.2k total citations · 2 hit papers
86 papers, 5.6k citations indexed

About

Takashi Angata is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Takashi Angata has authored 86 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 43 papers in Immunology and 25 papers in Organic Chemistry. Recurrent topics in Takashi Angata's work include Glycosylation and Glycoproteins Research (70 papers), Galectins and Cancer Biology (34 papers) and Carbohydrate Chemistry and Synthesis (25 papers). Takashi Angata is often cited by papers focused on Glycosylation and Glycoproteins Research (70 papers), Galectins and Cancer Biology (34 papers) and Carbohydrate Chemistry and Synthesis (25 papers). Takashi Angata collaborates with scholars based in Taiwan, Japan and United States. Takashi Angata's co-authors include Ajit Varki, Nissi Varki, Naoyuki Taniguchi, Hisashi Narimatsu, Mitsuru Nakamura, Toshiyuki Hayakawa, Masahiro Yamanaka, Kazuaki Ohtsubo, Shinobu Kitazume and Kazunori Nakamura and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Takashi Angata

83 papers receiving 5.5k citations

Hit Papers

Chemical Diversity in the... 2002 2026 2010 2018 2002 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Angata Taiwan 40 4.3k 2.5k 1.4k 565 487 86 5.6k
Michael Tiemeyer United States 36 4.2k 1.0× 1.5k 0.6× 1.1k 0.8× 1.1k 1.9× 431 0.9× 109 5.7k
Franz‐Georg Hanisch Germany 43 3.7k 0.9× 1.7k 0.7× 952 0.7× 551 1.0× 838 1.7× 137 5.9k
Kazuaki Ohtsubo Japan 24 3.5k 0.8× 1.4k 0.6× 1.1k 0.8× 552 1.0× 461 0.9× 41 4.3k
Sandra Diaz United States 35 3.5k 0.8× 1.3k 0.5× 858 0.6× 607 1.1× 788 1.6× 65 5.2k
Jean‐Claude Michalski France 42 3.9k 0.9× 1.4k 0.5× 1.7k 1.2× 512 0.9× 307 0.6× 122 5.0k
Tsutomu Tsuji Japan 37 2.4k 0.6× 1.0k 0.4× 519 0.4× 691 1.2× 463 1.0× 168 4.9k
Atsushi Nishikawa Japan 37 2.8k 0.7× 1.3k 0.5× 1.1k 0.8× 388 0.7× 402 0.8× 195 4.4k
Shoko Nishihara Japan 35 2.8k 0.7× 990 0.4× 711 0.5× 598 1.1× 385 0.8× 136 3.8k
Michiko N. Fukuda United States 55 6.3k 1.5× 2.8k 1.1× 1.9k 1.4× 1.5k 2.7× 1.1k 2.2× 162 8.8k
Anthony L. Tarentino United States 38 5.1k 1.2× 864 0.3× 1.8k 1.3× 815 1.4× 671 1.4× 70 6.8k

Countries citing papers authored by Takashi Angata

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Angata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Angata

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

All Works

20 of 20 papers shown
1.
Liang, Suh‐Yuen, et al.. (2025). Insights into the transcriptional regulation of CD22 in B cell chronic lymphocytic leukemia. Journal of Biological Chemistry. 301(4). 108386–108386.
2.
Chang, Yu‐Chan, Chi‐Long Chen, Michael Hsiao, et al.. (2024). B4GALT1-dependent galectin-8 binding with TGF-β receptor suppresses colorectal cancer progression and metastasis. Cell Death and Disease. 15(9). 654–654. 2 indexed citations
3.
Chang, Lan‐Yi, Deepa Sridharan, & Takashi Angata. (2023). Quantitative Analysis of Siglec Ligands by Flow Cytometry. Current Protocols. 3(12). e949–e949.
5.
Siyal, Asad Ali, Reta Birhanu Kitata, Takashi Angata, et al.. (2022). Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry. Nature Communications. 13(1). 37–37. 136 indexed citations breakdown →
6.
Chern, Yijuang, et al.. (2022). Roles of Siglecs in neurodegenerative diseases. Molecular Aspects of Medicine. 90. 101141–101141. 12 indexed citations
7.
Adak, Avijit Kumar, et al.. (2022). Ligand‐assisted imprinting‐probe‐labeling strategy reveals Siglec‐7 ‐ glycoprotein interactions. Journal of the Chinese Chemical Society. 69(8). 1326–1337. 2 indexed citations
8.
Angata, Takashi & Ajit Varki. (2022). Discovery, classification, evolution and diversity of Siglecs. Molecular Aspects of Medicine. 90. 101117–101117. 45 indexed citations
9.
Adak, Avijit Kumar, et al.. (2022). Sugar nucleotide regeneration system for the synthesis of Bi- and triantennary N-glycans and exploring their activities against siglecs. European Journal of Medicinal Chemistry. 232. 114146–114146. 19 indexed citations
10.
Yoshimura, Atsushi, Lan‐Yi Chang, Takashi Angata, et al.. (2021). Identification and functional characterization of a Siglec-7 counter-receptor on K562 cells. Journal of Biological Chemistry. 296. 100477–100477. 29 indexed citations
11.
Angata, Takashi. (2020). Siglec-15: a potential regulator of osteoporosis, cancer, and infectious diseases. Journal of Biomedical Science. 27(1). 10–10. 48 indexed citations
12.
Angata, Takashi, et al.. (2019). Chemoenzymatic Synthesis of DSGb5 and Sialylated Globo‐series Glycans. Angewandte Chemie. 131(33). 11395–11400. 2 indexed citations
13.
Adak, Avijit Kumar, et al.. (2019). Boronate affinity-based photoactivatable magnetic nanoparticles for the oriented and irreversible conjugation of Fc-fused lectins and antibodies. Chemical Science. 10(37). 8600–8609. 17 indexed citations
14.
Huang, Po‐Chun, et al.. (2018). Soluble Siglec-14 glycan-recognition protein is generated by alternative splicing and suppresses myeloid inflammatory responses. Journal of Biological Chemistry. 293(51). 19645–19658. 20 indexed citations
15.
Hsu, Pang‐Hung, et al.. (2017). O-GlcNAcylation is required for B cell homeostasis and antibody responses. Nature Communications. 8(1). 1854–1854. 47 indexed citations
16.
Fong, Jerry J., Liwen Deng, Nissi Varki, et al.. (2015). Immunomodulatory activity of extracellular Hsp70 mediated via paired receptors Siglec‐5 and Siglec‐14. The EMBO Journal. 34(22). 2775–2788. 77 indexed citations
17.
Kobayashi, Satoshi, Reiko Fujinawa, Shiho Kobayashi, et al.. (2013). A Single Dose of Lipopolysaccharide into Mice with Emphysema Mimics Human Chronic Obstructive Pulmonary Disease Exacerbation as Assessed by Micro-Computed Tomography. American Journal of Respiratory Cell and Molecular Biology. 49(6). 971–977. 77 indexed citations
18.
Zhang, Mai, Takashi Angata, Jae Youn Cho, et al.. (2007). Defining the in vivo function of Siglec-F, a CD33-related Siglec expressed on mouse eosinophils. Blood. 109(10). 4280–4287. 150 indexed citations
19.
Angata, Takashi. (2006). Specificity of Glycan Recognition by Siglecs. Trends in Glycoscience and Glycotechnology. 18(101). 197–208. 1 indexed citations
20.
Angata, Takashi, Elliott H. Margulies, Eric D. Green, & Ajit Varki. (2004). Large-scale sequencing of the CD33-related Siglec gene cluster in five mammalian species reveals rapid evolution by multiple mechanisms. Proceedings of the National Academy of Sciences. 101(36). 13251–13256. 129 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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