Yukiko Sakamoto
-
- Growth Hormone and Insulin-like Growth Factors 3
- Endocrine and Autonomic Systems top 10%
- Parasitology top 10%
-
- Cancer therapeutics and mechanisms 2
-
- Glioma Diagnosis and Treatment 6
- Connective tissue disorders research 3
-
- Adipose Tissue and Metabolism 3
- Diet and metabolism studies 2
-
- Radiopharmaceutical Chemistry and Applications 2
-
- Virology and Viral Diseases 2
- Co-authors
- Mitsuo ItakuraHiroshi InoueKatsuyuki MiyawakiKuniko MizutaKyoko Inagaki‐OharaYukifumi NawaFukumi Nakamura‐UchiyamaKenji Hiromatsu
- Journals
- The Journal of Immunology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Yukiko Sakamoto
31 papers receiving 767 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 159
- Immunology 167
- Endocrine and Autonomic Systems 53
- Parasitology 43
- Molecular Biology 315
Countries citing papers authored by Yukiko Sakamoto
This map shows the geographic impact of Yukiko Sakamoto'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 Yukiko Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Sakamoto more than expected).
Fields of papers citing papers by Yukiko Sakamoto
This network shows the impact of papers produced by Yukiko Sakamoto. 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 Yukiko Sakamoto. The network helps show where Yukiko Sakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukiko Sakamoto, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 11 | |
| 4 | 2011 | 40 | |
| 5 | 2011 | 10 | |
| 6 | 2011 | 9 | |
| 7 | 2010 | 16 | |
| 8 | 2010 | 67 | |
| 9 | 2008 | 10 | |
| 10 | 2008 | 5 | |
| 11 | 2007 | 88 | |
| 12 | 2007 | 82 | |
| 13 | 2006 | 83 | |
| 14 | 2006 | 49 | |
| 15 | 2005 | 31 | |
| 16 | 2004 | 135 | |
| 17 | 2004 | 17 | |
| 18 | [Overcoming of ACNU resistance in an ACNU-resistant subline of rat C6 glioma in vivo through enhanced effect of ACNU by calmodulin inhibitor]. | 1987 | 1 |
| 19 | [Possibility of overcoming of ACNU resistance in an ACNU-resistant subline of C6 rat glioma]. | 1986 | 2 |
| 20 | [Meningeal gliomatosis models as a chemosensitivity assay system]. | 1984 | 6 |
About Yukiko Sakamoto
Yukiko Sakamoto is a scholar working on Genetics, Parasitology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 783 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Connective tissue disorders research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Adipose Tissue and Metabolism (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Virology and Viral Diseases (2 papers), Diet and metabolism studies (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (159 citations), Immunology (167 citations) and Endocrine and Autonomic Systems (53 citations). Yukiko Sakamoto has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Mitsuo Itakura, Hiroshi Inoue, Katsuyuki Miyawaki, Kuniko Mizuta, Kyoko Inagaki‐Ohara, Yukifumi Nawa, Fukumi Nakamura‐Uchiyama, Kenji Hiromatsu, Hiroshi Shiota and Tatsuro Miyamoto. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research 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.