Takahiro Ito
- Molecular Biology top 10%
- Mechanical Engineering top 5%
- Biomedical Engineering top 10%
- Cancer Research top 5%
- Hematology top 5%
- Co-authors
- Masahiro SasakiDacian TomusZhong YouKaori KuribayashiKoichi TsuchiyaMinoru UmemotoAyuna HattoriTannishtha Reya
- Topics
- RNA Research and Splicing (13 papers)Genomics and Chromatin Dynamics (9 papers)Chronic Myeloid Leukemia Treatments (9 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takahiro Ito
108 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.1k
- Mechanical Engineering 530
- Biomedical Engineering 388
- Cancer Research 328
- Hematology 312
Countries citing papers authored by Takahiro Ito
This map shows the geographic impact of Takahiro 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 Takahiro Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Ito more than expected).
Fields of papers citing papers by Takahiro Ito
This network shows the impact of papers produced by Takahiro 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 Takahiro Ito. The network helps show where Takahiro Ito may publish in the future.
Co-authorship network of co-authors of Takahiro Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Ito. A scholar is included among the top collaborators of Takahiro 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 Takahiro Ito. Takahiro Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 272 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 20 | |
| 16 | lmmunohistochemical analysis for cell proliferation-related protein expression in small cell carcinoma of the esophagus a comparative | 4 |
| 17 | 神経芽細胞腫の新しい血中マーカー物質 : Nervous System-specific Enolase (NSE) (第2報) | 0 |
| 18 | Soybean grain quality as affected by low temperature treatments in plants : color of hilum, seed coat cracking | 15 |
| 19 | [An adult case of suspected rheumatic fever accompanied with Adams-Stokes attacks and a variety of arrhythmia (author's transl)]. | 1 |
| 20 | [Ultrasonic diagnosis of cerebrovascular disorders]. | 1 |
About Takahiro Ito
Takahiro Ito is a scholar working on Hematology, Molecular Biology and Biochemistry, having authored 116 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (9 papers) and Chronic Myeloid Leukemia Treatments (9 papers). The work is most often cited by research in Hematology (312 citations), Cancer Research (328 citations) and Molecular Biology (1.1k citations). Takahiro Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masahiro Sasaki, Dacian Tomus, Zhong You, Kaori Kuribayashi, Koichi Tsuchiya, Minoru Umemoto, Ayuna Hattori, Tannishtha Reya, Kazuhisa Sekimizu and Takaaki Konuma. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.