Masaaki Sunamoto
- Nephrology top 2%
- Molecular Biology
- Immunology
- Infectious Diseases
- Virology top 5%
- Co-authors
- Paul E. KlotmanMohammad HusainJohn Cijiang HeMary E. KlotmanRavi IyengarVivette D. D’AgatiElissa J. SchwartzMichael D. Ross
- Topics
- Renal Diseases and Glomerulopathies (6 papers)HIV Research and Treatment (4 papers)Chronic Kidney Disease and Diabetes (3 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationBiochemical and Biophysical Research Communications
- Partner nations
- United StatesJapanItaly
In The Last Decade
Masaaki Sunamoto
14 papers receiving 664 citations
Peers
Comparison fields: 5 of 71
- Nephrology 364
- Molecular Biology 301
- Immunology 118
- Infectious Diseases 110
- Virology 101
Countries citing papers authored by Masaaki Sunamoto
This map shows the geographic impact of Masaaki Sunamoto'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 Masaaki Sunamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Sunamoto more than expected).
Fields of papers citing papers by Masaaki Sunamoto
This network shows the impact of papers produced by Masaaki Sunamoto. 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 Masaaki Sunamoto. The network helps show where Masaaki Sunamoto may publish in the future.
Co-authorship network of co-authors of Masaaki Sunamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Sunamoto. A scholar is included among the top collaborators of Masaaki Sunamoto 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 Masaaki Sunamoto. Masaaki Sunamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 76 | |
| 3 | 132 | |
| 4 | 115 | |
| 5 | 57 | |
| 6 | 50 | |
| 7 | 22 | |
| 8 | 71 | |
| 9 | 36 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | Antisense oligonucleotides against collagen-binding stress protein HSP47 suppress collagen accumulation in experimental glomerulonephritis. | 81 |
| 13 | 5 | |
| 14 | [Effectiveness of dapsone on refractory immune thrombocytopenia in a patient with systemic lupus erythematosus associated with sarcoidosis]. | 1 |
About Masaaki Sunamoto
Masaaki Sunamoto is a scholar working on Nephrology, Virology and Genetics, having authored 14 papers that have together received 668 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), HIV Research and Treatment (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Nephrology (364 citations), Virology (101 citations) and Infectious Diseases (110 citations). Masaaki Sunamoto has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Paul E. Klotman, Mohammad Husain, John Cijiang He, Mary E. Klotman, Ravi Iyengar, Vivette D. D’Agati, Elissa J. Schwartz, Michael D. Ross, Kogo Kuze and Hideaki Tsuji. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical and Biophysical Research Communications.
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.