Hikaru Sugimoto
- Nephrology top 0.05%
- Chronic Kidney Disease and Diabetes 20
- Renal Diseases and Glomerulopathies 18
- Cancer Research top 0.1%
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 21
- Molecular Biology top 0.2%
- Angiogenesis and VEGF in Cancer 12
- Renal and related cancers 12
- Extracellular vesicles in disease 9
- Oncology top 0.5%
- Cancer Cells and Metastasis 11
- Pancreatic and Hepatic Oncology Research 6
Hikaru Sugimoto
111 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Nephrology 3.5k
- Cancer Research 4.9k
- Immunology and Allergy 1.0k
- Molecular Biology 10.3k
- Oncology 3.9k
Countries citing papers authored by Hikaru Sugimoto
This map shows the geographic impact of Hikaru Sugimoto'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 Hikaru Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hikaru Sugimoto more than expected).
Fields of papers citing papers by Hikaru Sugimoto
This network shows the impact of papers produced by Hikaru Sugimoto. 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 Hikaru Sugimoto. The network helps show where Hikaru Sugimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hikaru Sugimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 20 | |
| 2 | 2024 | 16 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 23 | |
| 5 | Identification of Functional Heterogeneity of Carcinoma-Associated Fibroblasts with Distinct IL6-Mediated Therapy Resistance in Pancreatic Cancerbreakdown → | 2022 | 191 |
| 6 | Type I collagen deletion in αSMA+ myofibroblasts augments immune suppression and accelerates progression of pancreatic cancerbreakdown → | 2021 | 373 |
| 7 | 2021 | 85 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 95 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 59 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 38 | |
| 14 | Epithelial-to-mesenchymal transition induces cell cycle arrest and parenchymal damage in renal fibrosisbreakdown → | 2015 | 749 |
| 15 | 2013 | 26 | |
| 16 | 2010 | 18 | |
| 17 | 2006 | 104 | |
| 18 | 2005 | 130 | |
| 19 | 2004 | 442 | |
| 20 | 2003 | 428 |
About Hikaru Sugimoto
Hikaru Sugimoto is a scholar working on Nephrology, Immunology and Allergy and Cancer Research, having authored 115 papers that have together received 18.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Chronic Kidney Disease and Diabetes (20 papers), Renal Diseases and Glomerulopathies (18 papers), Angiogenesis and VEGF in Cancer (12 papers), Renal and related cancers (12 papers), Cancer Cells and Metastasis (11 papers), Extracellular vesicles in disease (9 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Nephrology (3.5k citations), Cancer Research (4.9k citations) and Immunology and Allergy (1.0k citations). Hikaru Sugimoto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Raghu Kalluri, Valerie S. LeBleu, Michael Zeisberg, Sujuan Yang, Sónia A. Melo, Chia-Chin Wu, Sushrut Kamerkar, Joyce T. O’Connell, Julienne L. Carstens and Carolina F. Ruivo. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.