Daniel S. Kikuchi
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
-
- Immune Response and Inflammation 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- S100 Proteins and Annexins 2
- Co-authors
- Marina S. Hernandes (6 shared papers)Kathy K. Griendling (6 shared papers)Steven J. Forrester (4 shared papers)Qian Xu (1 shared paper)Ana Carolina Pinheiro Campos (4 shared papers)Bernard Lassègue (5 shared papers)Rosana L. Pagano (3 shared papers)Ruxana T. Sadikot (2 shared papers)
- Journals
- Circulation Cardiovascular Imaging (2 papers)Journal of Neuroinflammation (2 papers)Cellular and Molecular Neurobiology (1 paper)Scientific Reports (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Daniel S. Kikuchi
9 papers receiving 1.7k citations
Daniel S. Kikuchi's Hit Papers
Peers
Comparison fields: 5 of 130
- Neurology 155
- Biological Psychiatry 41
- Biochemistry 81
- Immunology 263
- Molecular Biology 669
Countries citing papers authored by Daniel S. Kikuchi
This map shows the geographic impact of Daniel S. Kikuchi'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 Daniel S. Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Kikuchi more than expected).
Fields of papers citing papers by Daniel S. Kikuchi
This network shows the impact of papers produced by Daniel S. Kikuchi. 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 Daniel S. Kikuchi. The network helps show where Daniel S. Kikuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Kikuchi, 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 | Reactive Oxygen Species in Metabolic and Inflammatory Signaling Hit paper breakdown → | 2018 | 1541 |
| 2 | 2019 | 77 | |
| 3 | 2020 | 27 | |
| 4 | 2018 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 9 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 0 | |
| 11 | 2026 | 0 | |
| 12 | 2022 | 0 | |
| 13 | 2025 | 0 |
About Daniel S. Kikuchi
Daniel S. Kikuchi is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Neurology and Surgery, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (3 papers), Immune Response and Inflammation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), S100 Proteins and Annexins (2 papers), Cardiovascular Function and Risk Factors (2 papers), Nerve injury and regeneration (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Neurology (155 citations), Biological Psychiatry (41 citations), Biochemistry (81 citations), Immunology (263 citations) and Molecular Biology (669 citations). Daniel S. Kikuchi has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Marina S. Hernandes, Kathy K. Griendling, Steven J. Forrester, Qian Xu, Ana Carolina Pinheiro Campos, Bernard Lassègue, Rosana L. Pagano, Ruxana T. Sadikot, Hongyan Qu and Elizabeth A. Faidley. Their work appears in journals such as Circulation Cardiovascular Imaging, Journal of Neuroinflammation, Cellular and Molecular Neurobiology, Scientific Reports and Circulation Research.
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.