Makoto Asada
- Molecular Biology top 5%
- Oncology top 5%
- Organic Chemistry top 5%
- Epidemiology top 10%
- Immunology top 10%
- Co-authors
- Junji MatsuiToshimitsu UenakaYasuhiro FunahashiAkihiko TsuruokaKentaro YoshimatsuToshiaki WAKABAYASHITatsuo WatanabeJohn T. Galambos
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Angiogenesis and VEGF in Cancer (4 papers)Chemical Synthesis and Analysis (4 papers)
- Cited by
- HepatologyOncologyMolecular Biology
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Makoto Asada
46 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.3k
- Oncology 563
- Organic Chemistry 388
- Epidemiology 381
- Immunology 327
Countries citing papers authored by Makoto Asada
This map shows the geographic impact of Makoto Asada'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 Makoto Asada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Asada more than expected).
Fields of papers citing papers by Makoto Asada
This network shows the impact of papers produced by Makoto Asada. 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 Makoto Asada. The network helps show where Makoto Asada may publish in the future.
Co-authorship network of co-authors of Makoto Asada
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Asada. A scholar is included among the top collaborators of Makoto Asada 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 Makoto Asada. Makoto Asada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 37 | |
| 3 | 97 | |
| 4 | E7107: Antitumor activity on human SCLC and cervical cancer xenografts in relation to its potential predictive markers of response. | 1 |
| 5 | 434 | |
| 6 | E7080, an oral multitargeted tyrosine kinase inhibitor, has direct anti-tumor efficacy via inhibition of KIT signaling in gastrointestinal stromal tumor (GIST) | 2 |
| 7 | 0 | |
| 8 | E7107, a new 7-urethane derivative of pladienolide D: Discovery of a novel antitumor agent | 18 |
| 9 | 163 | |
| 10 | 62 | |
| 11 | 169 | |
| 12 | E7080, an oral multitargeted tyrosine kinase inhibitor, has direct anti-tumor efficacy via inhibition of KIT signaling in small cell lung cancer | 1 |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | 29 | |
| 19 | 208 | |
| 20 | 104 |
About Makoto Asada
Makoto Asada is a scholar working on Immunology and Allergy, Physiology and Immunology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Angiogenesis and VEGF in Cancer (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Hepatology (311 citations), Oncology (563 citations) and Molecular Biology (1.3k citations). Makoto Asada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Junji Matsui, Toshimitsu Uenaka, Yasuhiro Funahashi, Akihiko Tsuruoka, Kentaro Yoshimatsu, Toshiaki WAKABAYASHI, Tatsuo Watanabe, John T. Galambos, Yuji Yamamoto and Tatsuo Watanabe. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.
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.