Suzu Igarashi
- Epidemiology top 10%
- Immunology top 10%
- Hepatology top 5%
- Molecular Biology
- Virology top 5%
- Co-authors
- Li‐Wen LaiJohn SidneyMichael HoughtonAlessandro SetteAnn L. EricksonAustin L. HughesDenise M. McKinneyChristopher M. Walker
- Topics
- Immune Cell Function and Interaction (4 papers)Cytomegalovirus and herpesvirus research (4 papers)Herpesvirus Infections and Treatments (3 papers)
- Cited by
- HepatologyVirologyImmunology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineImmunity
- Partner nations
- United States
In The Last Decade
Suzu Igarashi
16 papers receiving 836 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Epidemiology 320
- Immunology 308
- Hepatology 254
- Molecular Biology 251
- Virology 101
Countries citing papers authored by Suzu Igarashi
This map shows the geographic impact of Suzu Igarashi'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 Suzu Igarashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzu Igarashi more than expected).
Fields of papers citing papers by Suzu Igarashi
This network shows the impact of papers produced by Suzu Igarashi. 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 Suzu Igarashi. The network helps show where Suzu Igarashi may publish in the future.
Co-authorship network of co-authors of Suzu Igarashi
This figure shows the co-authorship network connecting the top 25 collaborators of Suzu Igarashi. A scholar is included among the top collaborators of Suzu Igarashi 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 Suzu Igarashi. Suzu Igarashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 28 | |
| 3 | 45 | |
| 4 | 23 | |
| 5 | 101 | |
| 6 | The Novel Small Molecule Inhibitor, OSU-T315, Suppresses Vestibular Schwannoma and Meningioma Growth by Inhibiting PDK2 Function in the AKT Pathway Activation. | 9 |
| 7 | 7 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 63 | |
| 14 | 115 | |
| 15 | The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytesbreakdown → | 321 |
| 16 | 40 |
About Suzu Igarashi
Suzu Igarashi is a scholar working on Sensory Systems, Immunology and Neurology, having authored 16 papers that have together received 849 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Hepatology (254 citations), Virology (101 citations) and Immunology (308 citations). Suzu Igarashi has collaborated with scholars based in United States. Frequent co-authors include Li‐Wen Lai, John Sidney, Michael Houghton, Alessandro Sette, Ann L. Erickson, Austin L. Hughes, Denise M. McKinney, Christopher M. Walker, Yoichi Kimura and Felicia Goodrum. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.
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.