Takaharu Ichimura
- Nephrology top 0.1%
- Molecular Biology top 5%
- Surgery top 2%
- Immunology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Joseph V. BonventreJames StevensBenjamin D. HumphreysVéronique BaillyRichard L. CateCatherine HessionMichele SanicolaVenkata Sabbisetti
- Topics
- Renal and related cancers (16 papers)Acute Kidney Injury Research (12 papers)Chronic Kidney Disease and Diabetes (7 papers)
- Cited by
- NephrologyTransplantationImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesJapanChina
In The Last Decade
Takaharu Ichimura
61 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Nephrology 2.6k
- Molecular Biology 2.0k
- Surgery 1.1k
- Immunology 1.0k
- Pathology and Forensic Medicine 584
Countries citing papers authored by Takaharu Ichimura
This map shows the geographic impact of Takaharu Ichimura'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 Takaharu Ichimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaharu Ichimura more than expected).
Fields of papers citing papers by Takaharu Ichimura
This network shows the impact of papers produced by Takaharu Ichimura. 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 Takaharu Ichimura. The network helps show where Takaharu Ichimura may publish in the future.
Co-authorship network of co-authors of Takaharu Ichimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takaharu Ichimura. A scholar is included among the top collaborators of Takaharu Ichimura 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 Takaharu Ichimura. Takaharu Ichimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 27 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 71 | |
| 7 | 31 | |
| 8 | 105 | |
| 9 | 88 | |
| 10 | 53 | |
| 11 | 17 | |
| 12 | 73 | |
| 13 | 72 | |
| 14 | 41 | |
| 15 | 16 | |
| 16 | 32 | |
| 17 | Kidney injury molecule–1 is a phosphatidylserine receptor that confers a phagocytic phenotype on epithelial cellsbreakdown → | 577 |
| 18 | 64 | |
| 19 | Kidney injury molecule-1: a tissue and urinary biomarker for nephrotoxicant-induced renal injurybreakdown → | 523 |
| 20 | 43 |
About Takaharu Ichimura
Takaharu Ichimura is a scholar working on Nephrology, Immunology and Transplantation, having authored 62 papers that have together received 6.1k indexed citations. Recurring topics across this work include Renal and related cancers (16 papers), Acute Kidney Injury Research (12 papers) and Chronic Kidney Disease and Diabetes (7 papers). The work is most often cited by research in Nephrology (2.6k citations), Transplantation (190 citations) and Immunology (1.0k citations). Takaharu Ichimura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Joseph V. Bonventre, James Stevens, Benjamin D. Humphreys, Véronique Bailly, Richard L. Cate, Catherine Hession, Michele Sanicola, Venkata Sabbisetti, Vishal S. Vaidya and Victoria Ramírez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.