Akihiro Ishiwata

2.9k citations
115 papers · 2.0k indexed · h-index 25
Topics
Carbohydrate Chemistry and Synthesis (49 papers)Glycosylation and Glycoproteins Research (40 papers)Enzyme Production and Characterization (20 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Akihiro Ishiwata

109 papers receiving 2.0k citations

Peers

Akihiro Ishiwata
Comparison fields: 5 of 123
  • Organic Chemistry 1.3k
  • Molecular Biology 1.1k
  • Biotechnology 310
  • Plant Science 296
  • Molecular Medicine 154
Replace M. Rita Ventura with:
M. Rita Ventura Portugal
Hiroshi Ōnishi Japan
João Xavier de Araújo‐Júnior Brazil
Sandra Gemma Italy
Marcus Tullius Scotti Brazil
José Correa‐Basurto Mexico
Chengyuan Liang China
Cristina Airoldi Italy
Min Chu United States
Paulo César Leal Brazil
Akihiro Ishiwata relative to M. Rita Ventura Portugal M. Rita Ventura's profile →
Citations per field
00.5×
M. Rita Ventura · 1×
Citations per year

Countries citing papers authored by Akihiro Ishiwata

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Ishiwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Ishiwata

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Ishiwata. A scholar is included among the top collaborators of Akihiro Ishiwata 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 Ishiwata. Akihiro Ishiwata 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 0
3 4
4 1
5 3
6 2
7 12
8 1
9 72
10 1
11 29
12 4
13 20
14 4
15 8
16 3
17 3
18 1
19 13
20 18

About Akihiro Ishiwata

Akihiro Ishiwata is a scholar working on Biotechnology, Organic Chemistry and Molecular Medicine, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (49 papers), Glycosylation and Glycoproteins Research (40 papers) and Enzyme Production and Characterization (20 papers). The work is most often cited by research in Organic Chemistry (1.3k citations), Biotechnology (310 citations) and Molecular Medicine (154 citations). Akihiro Ishiwata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yukishige Ito, Yong Joo Lee, Hiroko Akao, Shahriar Mobashery, Feiqing Ding, Shiro Terashima, Tadashi Katoh, Laurent Maveyraud, Jean‐Pierre Samama and Mohammed A. Amin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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