Mariko Kobayashi
- Hematology top 1%
- Molecular Biology top 10%
- Immunology top 10%
- Genetics top 2%
- Oncology top 10%
- Co-authors
- Jason M. ButlerShahin RafiiKoji ShidoDaniel J. NolanAndrea T. HooperHideki KobayashiZev RosenwaksLarry Witte
- Topics
- MicroRNA in disease regulation (3 papers)Marine Sponges and Natural Products (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Cited by
- HematologyGeneticsImmunology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Mariko Kobayashi
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Hematology 830
- Molecular Biology 763
- Immunology 417
- Genetics 378
- Oncology 273
Countries citing papers authored by Mariko Kobayashi
This map shows the geographic impact of Mariko Kobayashi'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 Mariko Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Kobayashi more than expected).
Fields of papers citing papers by Mariko Kobayashi
This network shows the impact of papers produced by Mariko Kobayashi. 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 Mariko Kobayashi. The network helps show where Mariko Kobayashi may publish in the future.
Co-authorship network of co-authors of Mariko Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Kobayashi. A scholar is included among the top collaborators of Mariko Kobayashi 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 Mariko Kobayashi. Mariko Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 42 | |
| 6 | 31 | |
| 7 | 5 | |
| 8 | 36 | |
| 9 | 293 | |
| 10 | Endothelial Cells Are Essential for the Self-Renewal and Repopulation of Notch-Dependent Hematopoietic Stem Cellsbreakdown → | 488 |
| 11 | Engraftment and Reconstitution of Hematopoiesis Is Dependent on VEGFR2-Mediated Regeneration of Sinusoidal Endothelial Cellsbreakdown → | 467 |
| 12 | 26 | |
| 13 | 24 | |
| 14 | 62 | |
| 15 | Marine spongean cytotoxins. | 6 |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 33 | |
| 19 | 1 | |
| 20 | 6 |
About Mariko Kobayashi
Mariko Kobayashi is a scholar working on Cancer Research, Biotechnology and Immunology and Allergy, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Marine Sponges and Natural Products (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Hematology (830 citations), Genetics (378 citations) and Immunology (417 citations). Mariko Kobayashi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Jason M. Butler, Shahin Rafii, Koji Shido, Daniel J. Nolan, Andrea T. Hooper, Hideki Kobayashi, Zev Rosenwaks, Larry Witte, Ian White and Marco Seandel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.