Emiko Ito

4.0k citations
86 papers · 3.1k · h-index 31

Impact in

Papers in

    • Pluripotent Stem Cells Research 18
    • CRISPR and Genetic Engineering 9
    • Nicotinic Acetylcholine Receptors Study 5
    • Marine Toxins and Detection Methods 21
    • Aquatic Ecosystems and Phytoplankton Dynamics 9

Emiko Ito

85 papers receiving 3.0k citations

Peers

Emiko Ito
Comparison fields: 5 of 121
  • Environmental Chemistry 1.5k
  • Oceanography 564
  • Paleontology 162
  • Biomaterials 231
  • Ecology, Evolution, Behavior and Systematics 335
Replace Diana M. Toivola with:
Diana M. Toivola Finland
Susan Lucas United States
Leo Lai Chan Hong Kong
Willi Salvenmoser Austria
Gen Zhang China
Yasuhiro Yamasaki Japan
Jeonghoon Han South Korea
Akihiro Hasegawa Japan
Yuan Huang China
Hugo Osório Portugal
Emiko Ito relative to Diana M. Toivola Finland Diana M. Toivola's profile →
Citations per field
00.5×3.8×
Diana M. Toivola · 1×
Citations per year

Countries citing papers authored by Emiko Ito

Since Specialization
Citations

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

Fields of papers citing papers by Emiko Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emiko Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emiko Ito Line = papers co-authored together Emiko Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000163
2 2013155
3 1997151
4 1996148
5 1986132
6 2004132
7 2002129
8 2000120
9 2002119
10 200083
11 200881
12 201781
13 202274
14 200773
15 200169
16 201867
17 200262
18 200659
19 201755
20 199751

About Emiko Ito

Emiko Ito is a scholar working on Molecular Biology, Environmental Chemistry, Surgery, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (21 papers), Pluripotent Stem Cells Research (18 papers), Tissue Engineering and Regenerative Medicine (11 papers), Aquatic Ecosystems and Phytoplankton Dynamics (9 papers), CRISPR and Genetic Engineering (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Biocrusts and Microbial Ecology (6 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Environmental Chemistry (1.5k citations), Oceanography (564 citations), Paleontology (162 citations), Biomaterials (231 citations) and Ecology, Evolution, Behavior and Systematics (335 citations). Emiko Ito has collaborated with scholars based in Japan, Ireland and United States. Frequent co-authors include Ken‐ichi Harada, Takeshi Yasumoto, Fumio Kondo, Kiyoshi Terao, Yoshiki Sawa, Shigeru Miyagawa, Masayuki Satake, Susumu Y. Imanishi, Satsuki Fukushima and Atsuhiro Saito. Their work appears in journals such as Toxicon, Scientific Reports, Circulation, Biochemical and Biophysical Research Communications and Mycopathologia.

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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