Mariko Kawakami
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Co-authors
- Raj K. PuriKoji KawakamiSyed R. HusainMitomu KioiMamoru TsukudaKazuo UmezawaGoshi NishimuraHideki Matsuda
- Topics
- Toxin Mechanisms and Immunotoxins (28 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)Transgenic Plants and Applications (12 papers)
- Partner nations
- United StatesJapanThailand
In The Last Decade
Mariko Kawakami
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Immunology 657
- Molecular Biology 431
- Oncology 416
- Radiology, Nuclear Medicine and Imaging 183
- Surgery 181
Countries citing papers authored by Mariko Kawakami
This map shows the geographic impact of Mariko Kawakami'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 Mariko Kawakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Kawakami more than expected).
Fields of papers citing papers by Mariko Kawakami
This network shows the impact of papers produced by Mariko Kawakami. 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 Mariko Kawakami. The network helps show where Mariko Kawakami may publish in the future.
Co-authorship network of co-authors of Mariko Kawakami
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Kawakami. A scholar is included among the top collaborators of Mariko Kawakami 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 Mariko Kawakami. Mariko Kawakami 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 | Transgenic mice expressing an intestine-specific secretory protein, IBCAP, demonstrates pancreatic beta cell augmenting activity | 1 |
| 3 | 21 | |
| 4 | 36 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 75 | |
| 8 | 5 | |
| 9 | Expression of interleukin-13 receptors and their targeting in animal models of human ovarian cancer | 1 |
| 10 | 31 | |
| 11 | 1 | |
| 12 | 74 | |
| 13 | 62 | |
| 14 | 18 | |
| 15 | 42 | |
| 16 | Interleukin 4 receptor on human lung cancer: a molecular target for cytotoxin therapy. | 53 |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 0 |
About Mariko Kawakami
Mariko Kawakami is a scholar working on Otorhinolaryngology, Biotechnology and Immunology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (28 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Transgenic Plants and Applications (12 papers). The work is most often cited by research in Immunology (657 citations), Otorhinolaryngology (129 citations) and Biotechnology (162 citations). Mariko Kawakami has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Raj K. Puri, Koji Kawakami, Syed R. Husain, Mitomu Kioi, Mamoru Tsukuda, Kazuo Umezawa, Goshi Nishimura, Hideki Matsuda, Tomohiro Itoh and Masaki Nakamura. Their work appears in journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.
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.