Takashi Angata

7.2k citations
86 papers · 5.6k indexed · 2 hit papers · h-index 40
Topics
Glycosylation and Glycoproteins Research (70 papers)Galectins and Cancer Biology (34 papers)Carbohydrate Chemistry and Synthesis (25 papers)
Partner nations
TaiwanJapanUnited States

In The Last Decade

Takashi Angata

83 papers receiving 5.5k citations

Hit Papers

Chemical Diversity in the Sialic Acids and Related α-Keto...2002202620102018200220222505007501000

Peers

Takashi Angata
Comparison fields: 5 of 128
  • Molecular Biology 4.3k
  • Immunology 2.5k
  • Organic Chemistry 1.4k
  • Cell Biology 565
  • Radiology, Nuclear Medicine and Imaging 487
Replace Michael Tiemeyer with:
Michael Tiemeyer United States
Franz‐Georg Hanisch Germany
Bruce E. Torbett United States
Tsui-Ling Hsu Taiwan
Ehud Skutelsky Israel
Eric Spooner United States
Jean‐Claude Michalski France
Sandra Diaz United States
Júlia Costa Portugal
S.G. Hymowitz United States
Takashi Angata relative to Michael Tiemeyer United States Michael Tiemeyer's profile →
Citations per field
00.5×1.7×
Michael Tiemeyer · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 4
4 4
5 0
6 0
7 19
8
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometrybreakdown →
136
9 45
10 12
11 29
12 48
13 22
14 2
15 17
16 57
17 20
18 59
19 150
20 129

About Takashi Angata

Takashi Angata is a scholar working on Immunology, Molecular Biology and Organic Chemistry, having authored 86 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (70 papers), Galectins and Cancer Biology (34 papers) and Carbohydrate Chemistry and Synthesis (25 papers). The work is most often cited by research in Immunology (2.5k citations), Molecular Biology (4.3k citations) and Organic Chemistry (1.4k citations). Takashi Angata has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Ajit Varki, Nissi Varki, Naoyuki Taniguchi, Hisashi Narimatsu, Mitsuru Nakamura, Toshiyuki Hayakawa, Masahiro Yamanaka, Kazuaki Ohtsubo, Shinobu Kitazume and Kazunori Nakamura. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

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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