Eri Kobayashi
- Molecular Biology top 5%
- Immunology top 5%
- Physiology top 10%
- Dermatology top 2%
- Surgery
- Co-authors
- Masayuki YamamotoTakafumi SuzukiRyo FunayamaTakeshi NagashimaKeiko NakayamaMakiko HayashiHiroki SekineNobuyuki Tanaka
- Topics
- Acute Myeloid Leukemia Research (5 papers)Semiconductor Quantum Structures and Devices (4 papers)Epigenetics and DNA Methylation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Eri Kobayashi
40 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.4k
- Immunology 516
- Physiology 218
- Dermatology 192
- Surgery 184
Countries citing papers authored by Eri Kobayashi
This map shows the geographic impact of Eri 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 Eri Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Kobayashi more than expected).
Fields of papers citing papers by Eri Kobayashi
This network shows the impact of papers produced by Eri 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 Eri Kobayashi. The network helps show where Eri Kobayashi may publish in the future.
Co-authorship network of co-authors of Eri Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Eri Kobayashi. A scholar is included among the top collaborators of Eri 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 Eri Kobayashi. Eri 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 | Modeling embryo-endometrial interface recapitulating human embryo implantationbreakdown → | 51 |
| 2 | Trophoblast stem cell-based organoid models of the human placental barrierbreakdown → | 40 |
| 3 | 18 | |
| 4 | 40 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 32 | |
| 9 | 16 | |
| 10 | 66 | |
| 11 | 214 | |
| 12 | Nrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcriptionbreakdown → | 1419 |
| 13 | 20 | |
| 14 | 85 | |
| 15 | 25 | |
| 16 | 23 | |
| 17 | 27 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 2 |
About Eri Kobayashi
Eri Kobayashi is a scholar working on Biochemistry, Obstetrics and Gynecology and Hematology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Semiconductor Quantum Structures and Devices (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Biological Psychiatry (96 citations), Immunology (516 citations) and Dermatology (192 citations). Eri Kobayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masayuki Yamamoto, Takafumi Suzuki, Ryo Funayama, Takeshi Nagashima, Keiko Nakayama, Makiko Hayashi, Hiroki Sekine, Nobuyuki Tanaka, Hozumi Motohashi and Takashi Moriguchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.