Kenji Sekikawa
- Immunology top 1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Physiology top 5%
- Genetics top 5%
- Co-authors
- Yoichiro IwakuraYoh‐ichi TagawaMitsuru SeishimaMasahide AsanoAya NambuIkuo HommaYutaka KomiyamaKatsuko Sudo
- Topics
- Virus-based gene therapy research (10 papers)Immune Response and Inflammation (9 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- JapanKenyaUnited States
In The Last Decade
Kenji Sekikawa
103 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 2.2k
- Molecular Biology 1.4k
- Epidemiology 1.0k
- Physiology 619
- Genetics 541
Countries citing papers authored by Kenji Sekikawa
This map shows the geographic impact of Kenji Sekikawa'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 Kenji Sekikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Sekikawa more than expected).
Fields of papers citing papers by Kenji Sekikawa
This network shows the impact of papers produced by Kenji Sekikawa. 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 Kenji Sekikawa. The network helps show where Kenji Sekikawa may publish in the future.
Co-authorship network of co-authors of Kenji Sekikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Sekikawa. A scholar is included among the top collaborators of Kenji Sekikawa 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 Kenji Sekikawa. Kenji Sekikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 21 | |
| 4 | 228 | |
| 5 | 24 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | 62 | |
| 10 | 8 | |
| 11 | 33 | |
| 12 | 3 | |
| 13 | Antigen-Specific T Cell Sensitization Is Impaired in IL-17-Deficient Mice, Causing Suppression of Allergic Cellular and Humoral Responsesbreakdown → | 905 |
| 14 | 27 | |
| 15 | 20 | |
| 16 | 59 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | Resistance to trypanosomosis: of markers, genes and mechanisms | 3 |
| 20 | 42 |
About Kenji Sekikawa
Kenji Sekikawa is a scholar working on Immunology, Biological Psychiatry and Immunology and Allergy, having authored 103 papers that have together received 5.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Immune Response and Inflammation (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Biological Psychiatry (289 citations), Immunology (2.2k citations) and Behavioral Neuroscience (192 citations). Kenji Sekikawa has collaborated with scholars based in Japan, Kenya and United States. Frequent co-authors include Yoichiro Iwakura, Yoh‐ichi Tagawa, Mitsuru Seishima, Masahide Asano, Aya Nambu, Ikuo Homma, Yutaka Komiyama, Katsuko Sudo, Michiko Iwase and Susumu Nakae. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.