Hikaru Sugimoto
- Molecular Biology top 0.2%
- Cancer Research top 0.1%
- Oncology top 0.5%
- Nephrology top 0.05%
- Immunology top 0.5%
- Co-authors
- Raghu KalluriValerie S. LeBleuMichael ZeisbergSujuan YangSónia A. MeloChia-Chin WuSushrut KamerkarJoyce T. O’Connell
- Topics
- Cell Adhesion Molecules Research (21 papers)Chronic Kidney Disease and Diabetes (20 papers)Renal Diseases and Glomerulopathies (18 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Hikaru Sugimoto
111 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 10.3k
- Cancer Research 4.9k
- Oncology 3.9k
- Nephrology 3.5k
- Immunology 2.5k
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 of co-authors of Hikaru Sugimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Hikaru Sugimoto. A scholar is included among the top collaborators of Hikaru Sugimoto 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 Hikaru Sugimoto. Hikaru Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 16 | |
| 3 | 54 | |
| 4 | 23 | |
| 5 | Identification of Functional Heterogeneity of Carcinoma-Associated Fibroblasts with Distinct IL6-Mediated Therapy Resistance in Pancreatic Cancerbreakdown → | 191 |
| 6 | Type I collagen deletion in αSMA+ myofibroblasts augments immune suppression and accelerates progression of pancreatic cancerbreakdown → | 373 |
| 7 | 85 | |
| 8 | 32 | |
| 9 | 95 | |
| 10 | 6 | |
| 11 | 59 | |
| 12 | 20 | |
| 13 | 38 | |
| 14 | Epithelial-to-mesenchymal transition induces cell cycle arrest and parenchymal damage in renal fibrosisbreakdown → | 749 |
| 15 | 26 | |
| 16 | 18 | |
| 17 | 104 | |
| 18 | 130 | |
| 19 | 442 | |
| 20 | 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) and Renal Diseases and Glomerulopathies (18 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.