Hitomi Yoshida

459 citations
13 papers · 348 indexed · h-index 9
Topics
PI3K/AKT/mTOR signaling in cancer (4 papers)Genetic Neurodegenerative Diseases (2 papers)DNA Repair Mechanisms (1 paper)
Partner nations
Japan

In The Last Decade

Hitomi Yoshida

13 papers receiving 333 citations

Peers

Hitomi Yoshida
Comparison fields: 5 of 71
  • Molecular Biology 239
  • Hematology 42
  • Oncology 41
  • Cell Biology 34
  • Cancer Research 34
Replace Hiroshi Sumichika with:
Hiroshi Sumichika Japan
Ian D. Trayner United Kingdom
Anongnard Kasorn Thailand
Eugenia Y. Xu United States
Chien‐Hui Lieu Taiwan
Krzysztof Flis Poland
Hongtao Xing United States
Reidun Aesöy Norway
Suk Hwan Baek South Korea
Xiao‐Qin Ren Japan
Hitomi Yoshida relative to Hiroshi Sumichika Japan Hiroshi Sumichika's profile →
Citations per field
00.5×1.5×2.4×
Hiroshi Sumichika · 1×
Citations per year

Countries citing papers authored by Hitomi Yoshida

Since Specialization
Citations

This map shows the geographic impact of Hitomi Yoshida'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 Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Yoshida more than expected).

Fields of papers citing papers by Hitomi Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hitomi Yoshida. 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 Yoshida. The network helps show where Hitomi Yoshida may publish in the future.

Co-authorship network of co-authors of Hitomi Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Yoshida. A scholar is included among the top collaborators of Hitomi Yoshida 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 Yoshida. Hitomi Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 12
2 51
3 11
4 44
5 9
6 15
7 69
8 7
9 103
10
Calcium mobilization during nicotine-induced cell death in human glioma and glioblastoma cell lines.
12
11
5-Azacytidine induction of neuron-like cells from a neoplastic human salivary intercalated duct cell line and effect of dibutyryl cyclic adenosine 3',5'-monophosphate on proliferation and phenotype of the induced cells
7
12 7
13
[Clinical effects of Chinese herb medicine (hochu-ekki-to) on infertile men].
1

About Hitomi Yoshida

Hitomi Yoshida is a scholar working on Molecular Medicine, Hematology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Genetic Neurodegenerative Diseases (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (42 citations), Molecular Biology (239 citations) and Cancer Research (34 citations). Hitomi Yoshida has collaborated with scholars based in Japan. Frequent co-authors include Naoko Okumura, Yasuko Kitagishi, Satoru Matsuda, Yuri Nishimura, Mutsumi Murakami, R Ohno, Nobuko Ohishi, Yukihiro Akao, Ryuzo Ueda and T Naoe. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and FEBS Letters.

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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