Tomoya Eguchi

18 papers receiving 661 citations

Peers

Tomoya Eguchi
Comparison fields: 5 of 75
  • Neurology 290
  • Cell Biology 276
  • Physiology 60
  • Physiology 204
  • Aging 10
Replace Liliana Torosantucci with:
Liliana Torosantucci Italy
Joy S. Tea United States
Anastasia G. Henry United States
Tomoko Kanao Japan
Valentina Fedele Italy
Chiu-Hui Huang Taiwan
E. Link United States
Emma Martínez‐Alonso Spain
Junko Kawawaki Japan
Olga S. Koutsopoulos Australia
Tomoya Eguchi relative to Liliana Torosantucci Italy Liliana Torosantucci's profile →
Citations per field
00.5×1.5×1.9×
Liliana Torosantucci · 1×
Citations per year

Countries citing papers authored by Tomoya Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoya Eguchi, 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 Tomoya Eguchi Line = papers co-authored together Tomoya Eguchi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018220
2 201698
3 202176
4 201767
5 202049
6 200645
7 202325
8
Effect of hexafluoro-1,25-dihydroxyvitamin D3 and sodium butyrate combination on differentiation and proliferation of HL-60 leukemia cells.
199324
9 200617
10
Climate of Yaku-shima Island, especially regionality of precipitation distribution
198415
11 19789
12 20219
13 20054
14 19674
15
Schedule-dependent cytotoxicity of 5-fluorouracil and irinotecan in p53 mutant human colon cancer.
20074
16 20182
17 20251
18
[Chronic cardiotoxicity of adriamycin and the possible prevention by coenzyme Q10 in rabbits (author's transl)].
19791

About Tomoya Eguchi

Tomoya Eguchi is a scholar working on Molecular Biology, Cell Biology, Physiology, Neurology and Oncology, having authored 18 papers that have together received 670 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Lysosomal Storage Disorders Research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer therapeutics and mechanisms (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Neurology (290 citations), Cell Biology (276 citations), Physiology (60 citations), Physiology (204 citations) and Aging (10 citations). Tomoya Eguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takeshi Iwatsubo, Tomoki Kuwahara, Tetta Fujimoto, Maria Sakurai, Tadayuki Komori, Mitsunori Fukuda, Masato Koike, Genta Ito, Akihiro Harada and Shin‐ichiro Yoshimura. Their work appears in journals such as Journal of the Meteorological Society of Japan Ser II, Biochemical and Biophysical Research Communications, Scientific Reports, Proceedings of the National Academy of Sciences and Neurobiology of Disease.

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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