Yukiko Sakamoto

977 citations
31 papers · 783 indexed · h-index 13

Yukiko Sakamoto

31 papers receiving 767 citations

Peers

Yukiko Sakamoto
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 159
  • Immunology 167
  • Endocrine and Autonomic Systems 53
  • Parasitology 43
  • Molecular Biology 315
Replace Marı́a-Luisa Gaspar with:
Marı́a-Luisa Gaspar Spain
Jerry L. Perrard United States
Qin Ouyang Germany
Ke‐ita Tatsumi Japan
Jan Emmerich United States
Jorge Medina United States
Kelly M. Cautivo United States
Kristina Forsman‐Semb Sweden
Tomoyuki Nomura Japan
Marı́a C. Sánchez Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Yukiko Sakamoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yukiko Sakamoto Line = papers co-authored together Yukiko Sakamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 202311
4 201140
5 201110
6 20119
7 201016
8 201067
9 200810
10 20085
11 200788
12 200782
13 200683
14 200649
15 200531
16 2004135
17 200417
18
[Overcoming of ACNU resistance in an ACNU-resistant subline of rat C6 glioma in vivo through enhanced effect of ACNU by calmodulin inhibitor].
19871
19
[Possibility of overcoming of ACNU resistance in an ACNU-resistant subline of C6 rat glioma].
19862
20
[Meningeal gliomatosis models as a chemosensitivity assay system].
19846

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.

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