Hiromi Ito

5.2k total citations
176 papers, 3.9k citations indexed

About

Hiromi Ito is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Hiromi Ito has authored 176 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 28 papers in Immunology and 20 papers in Organic Chemistry. Recurrent topics in Hiromi Ito's work include Glycosylation and Glycoproteins Research (42 papers), Carbohydrate Chemistry and Synthesis (18 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Hiromi Ito is often cited by papers focused on Glycosylation and Glycoproteins Research (42 papers), Carbohydrate Chemistry and Synthesis (18 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Hiromi Ito collaborates with scholars based in Japan, United States and Spain. Hiromi Ito's co-authors include Hisashi Narimatsu, Akihiko Kameyama, Takashi Sato, Atsushi Kuno, Kazuhito Tsukagoshi, Mika K. Kaneko, Yukinari Kato, Takeo Minari, Yoshinobu Aoyagi and Tetsuhiko Miyadera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Hiromi Ito

164 papers receiving 3.8k citations

Peers

Hiromi Ito
Comparison fields: 5 of 129
  • Molecular Biology 2.2k
  • Immunology 596
  • Oncology 446
  • Organic Chemistry 432
  • Cell Biology 381
Menotti Ruvo Italy
Claudine Kiéda France
Masanori Gotoh Japan
Ramasamy Paulmurugan United States
Tor Ny Sweden
Cinzia Di Pietro Italy
Simon Fredriksson Sweden
R Tauber Germany
Jing Gao China
Hiroshi Ueda Japan
Menotti Ruvo Italy View profile →
Citations per field, relative to Hiromi Ito
Hiromi Ito · 1×
Citations per year, relative to Hiromi Ito
Hiromi Ito · 1×

Countries citing papers authored by Hiromi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromi Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Ito. A scholar is included among the top collaborators of Hiromi Ito 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 Hiromi Ito. Hiromi Ito 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
# Work Indexed citations
1 0
2 5
3 2
4 6
5 15
6 1
7 11
8 54
9 65
10 4
11
Involvement of KRAS G12A mutation in the IL-2-independent growth of a human T-LGL leukemia cell line, PLT-2.
7
12 12
13 15
14 53
15 19
16 13
17 34
18 47
19 1
20 0

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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