Takeshi Ichikawa
- Plant Science top 5%
- Cell Biology top 5%
- Molecular Biology
- Surgery
- Hepatology top 5%
- Co-authors
- Setsuo SERIZAWAShinji TsuyumuY. TakikawaMasao GOTOMasahiko NegishiRaija L.P. LindbergBarbara A. BurkhartMasatomo Mori
- Topics
- Liver Disease Diagnosis and Treatment (22 papers)Liver Disease and Transplantation (8 papers)Plant Pathogenic Bacteria Studies (8 papers)
- Cited by
- Cell BiologyHepatologyPharmacology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takeshi Ichikawa
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Plant Science 519
- Cell Biology 446
- Molecular Biology 374
- Surgery 206
- Hepatology 183
Countries citing papers authored by Takeshi Ichikawa
This map shows the geographic impact of Takeshi Ichikawa'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 Takeshi Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ichikawa more than expected).
Fields of papers citing papers by Takeshi Ichikawa
This network shows the impact of papers produced by Takeshi Ichikawa. 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 Takeshi Ichikawa. The network helps show where Takeshi Ichikawa may publish in the future.
Co-authorship network of co-authors of Takeshi Ichikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Ichikawa. A scholar is included among the top collaborators of Takeshi Ichikawa 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 Takeshi Ichikawa. Takeshi Ichikawa 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 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | Development and commercialization of Trichoderma asperellum SKT-1 (Ecohope^[○!R]), a microbial pesticide(Society Awards 2007(on prominent achievement)) | 4 |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 36 | |
| 15 | 59 | |
| 16 | 15 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 14 | |
| 20 | 10 |
About Takeshi Ichikawa
Takeshi Ichikawa is a scholar working on Hepatology, Pharmacology and Epidemiology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Liver Disease and Transplantation (8 papers) and Plant Pathogenic Bacteria Studies (8 papers). The work is most often cited by research in Cell Biology (446 citations), Hepatology (183 citations) and Pharmacology (177 citations). Takeshi Ichikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Setsuo SERIZAWA, Shinji Tsuyumu, Y. Takikawa, Masao GOTO, Masahiko Negishi, Raija L.P. Lindberg, Barbara A. Burkhart, Masatomo Mori, Hitoshi Takagi and I. Ishida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.