Hitomi Yamamoto
- Molecular Biology
- Immunology top 5%
- Oncology top 5%
- Hematology top 5%
- Cancer Research top 10%
- Co-authors
- Hisashi HaradaKenji HaradaTadatsugu TaniguchiNobuyuki TanakaToshiyuki YamadaFumiko Kihara‐NegishiTsuneyuki OikawaMasahiko Ishihara
- Topics
- Catalytic Cross-Coupling Reactions (4 papers)N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (4 papers)Acute Myeloid Leukemia Research (3 papers)
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Hitomi Yamamoto
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 675
- Immunology 542
- Oncology 506
- Hematology 226
- Cancer Research 213
Countries citing papers authored by Hitomi Yamamoto
This map shows the geographic impact of Hitomi Yamamoto'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 Hitomi Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Yamamoto more than expected).
Fields of papers citing papers by Hitomi Yamamoto
This network shows the impact of papers produced by Hitomi Yamamoto. 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 Hitomi Yamamoto. The network helps show where Hitomi Yamamoto may publish in the future.
Co-authorship network of co-authors of Hitomi Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Yamamoto. A scholar is included among the top collaborators of Hitomi Yamamoto 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 Hitomi Yamamoto. Hitomi Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 46 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | Loss of l(3)mbt leads to acquisition of the ping-pong cycle in Drosophila ovarian somatic cells | 1 |
| 6 | 29 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 76 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 25 | |
| 15 | Interaction between the hematopoietic Ets transcription factor Spi-B and the coactivator CREB-binding protein associated with negative cross-talk with c-Myb. | 24 |
| 16 | 55 | |
| 17 | 90 | |
| 18 | 34 | |
| 19 | 33 | |
| 20 | 32 |
About Hitomi Yamamoto
Hitomi Yamamoto is a scholar working on Geriatrics and Gerontology, Pharmacology and Hematology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Catalytic Cross-Coupling Reactions (4 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Immunology (542 citations), Hematology (226 citations) and Oncology (506 citations). Hitomi Yamamoto has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Hisashi Harada, Kenji Harada, Tadatsugu Taniguchi, Nobuyuki Tanaka, Toshiyuki Yamada, Fumiko Kihara‐Negishi, Tsuneyuki Oikawa, Masahiko Ishihara, Motoo Kitagawa and Yoshiyuki Hashimoto. Their work appears in journals such as Science, Journal of Biological Chemistry and Genes & Development.
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.