Sumi Nagase
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 8
- Muscle metabolism and nutrition 7
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 7
- Biochemistry top 5%
- Hepatology top 5%
- Nephrology top 5%
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- Drug Transport and Resistance Mechanisms 14
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- Liver Disease Diagnosis and Treatment 13
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- Metabolism and Genetic Disorders 10
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- Glycosylation and Glycoproteins Research 9
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- Carcinogens and Genotoxicity Assessment 8
- Co-authors
- Seigo ShumiyaTakashi SügimuraYoshimasa MorinoNobuko SenoHiroyasu EsumiMasayasu InoueKeiko KondoK. Anno
- Cited by
- Cell BiologyPharmacologyBiochemistry
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Sumi Nagase
127 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 412
- Pharmacology 212
- Biochemistry 127
- Hepatology 131
- Nephrology 107
Countries citing papers authored by Sumi Nagase
This map shows the geographic impact of Sumi Nagase'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 Sumi Nagase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumi Nagase more than expected).
Fields of papers citing papers by Sumi Nagase
This network shows the impact of papers produced by Sumi Nagase. 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 Sumi Nagase. The network helps show where Sumi Nagase may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sumi Nagase, 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 | 2004 | 24 | |
| 2 | 1994 | 6 | |
| 3 | 1993 | 10 | |
| 4 | 1993 | 8 | |
| 5 | 1992 | 2 | |
| 6 | 1992 | 12 | |
| 7 | The Pathogenesis of Focal Glomerulosclerosis : Nonimmunologic Mechanisms of Glomerular Injury in Renal Ablation Model | 1990 | 1 |
| 8 | 1990 | 2 | |
| 9 | 1990 | 3 | |
| 10 | 1989 | 18 | |
| 11 | 1989 | 14 | |
| 12 | 1988 | 24 | |
| 13 | 1988 | 9 | |
| 14 | 1987 | 4 | |
| 15 | Difference of Lectin Receptors Between the Free Cell Type and Island Forming Cell Type of Rat Ascites Hepatoma Cells | 1981 | 1 |
| 16 | 1972 | 8 | |
| 17 | 1962 | 1 | |
| 18 | 1962 | 1 | |
| 19 | 1960 | 1 | |
| 20 | 1960 | 1 |
About Sumi Nagase
Sumi Nagase is a scholar working on Biochemistry, Clinical Biochemistry and Pharmacology, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Metabolism and Genetic Disorders (10 papers), Glycosylation and Glycoproteins Research (9 papers), Carcinogens and Genotoxicity Assessment (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Muscle metabolism and nutrition (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Cell Biology (412 citations), Pharmacology (212 citations) and Biochemistry (127 citations). Sumi Nagase has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Seigo Shumiya, Takashi Sügimura, Yoshimasa Morino, Nobuko Seno, Hiroyasu Esumi, Masayasu Inoue, Keiko Kondo, K. Anno, Kenji Okajima and Masakazu Takahashi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.