Kazuki Kuroda
- Molecular Biology top 2%
- Immunology top 5%
- Surgery top 5%
- Genetics top 2%
- Genetics top 10%
- Co-authors
- Michael A. RudnickiShihuan KuangFabien Le GrandTasuku HonjoKenji TanigakiHua HanHisanori KurookaNorio Yamamoto
- Topics
- Developmental Biology and Gene Regulation (7 papers)Muscle Physiology and Disorders (6 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Cited by
- AgingGeneticsMolecular Biology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kazuki Kuroda
31 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.6k
- Immunology 581
- Surgery 574
- Genetics 469
- Genetics 334
Countries citing papers authored by Kazuki Kuroda
This map shows the geographic impact of Kazuki Kuroda'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 Kazuki Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Kuroda more than expected).
Fields of papers citing papers by Kazuki Kuroda
This network shows the impact of papers produced by Kazuki Kuroda. 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 Kazuki Kuroda. The network helps show where Kazuki Kuroda may publish in the future.
Co-authorship network of co-authors of Kazuki Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Kuroda. A scholar is included among the top collaborators of Kazuki Kuroda 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 Kazuki Kuroda. Kazuki Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 89 | |
| 7 | 14 | |
| 8 | 30 | |
| 9 | Asymmetric Self-Renewal and Commitment of Satellite Stem Cells in Musclebreakdown → | 1042 |
| 10 | 43 | |
| 11 | 79 | |
| 12 | 222 | |
| 13 | 36 | |
| 14 | 97 | |
| 15 | Notch–RBP-J signaling is involved in cell fate determination of marginal zone B cellsbreakdown → | 402 |
| 16 | Inducible gene knockout of transcription factor recombination signal binding protein‐J reveals its essential role in T versus B lineage decisionbreakdown → | 480 |
| 17 | 3 | |
| 18 | 232 | |
| 19 | 167 | |
| 20 | 4 |
About Kazuki Kuroda
Kazuki Kuroda is a scholar working on Aging, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 3.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Muscle Physiology and Disorders (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Aging (129 citations), Genetics (469 citations) and Molecular Biology (2.6k citations). Kazuki Kuroda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Michael A. Rudnicki, Shihuan Kuang, Fabien Le Grand, Tasuku Honjo, Kenji Tanigaki, Hua Han, Hisanori Kurooka, Norio Yamamoto, Tatsutoshi Nakahata and Momoko Yoshimoto. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.