Satoshi Imanishi

629 total citations
29 papers, 513 citations indexed

About

Satoshi Imanishi is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Hematology. According to data from OpenAlex, Satoshi Imanishi has authored 29 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Health, Toxicology and Mutagenesis and 7 papers in Hematology. Recurrent topics in Satoshi Imanishi's work include Effects and risks of endocrine disrupting chemicals (6 papers), Acute Myeloid Leukemia Research (5 papers) and Estrogen and related hormone effects (5 papers). Satoshi Imanishi is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (6 papers), Acute Myeloid Leukemia Research (5 papers) and Estrogen and related hormone effects (5 papers). Satoshi Imanishi collaborates with scholars based in Japan and Egypt. Satoshi Imanishi's co-authors include Noboru MANABE, Miki Sugimoto, Kazuma Ohyashiki, Tomohiro Umezu, Junko H. Ohyashiki, Maki Morita, Chiaki Kobayashi, Seiichiro Yoshizawa, Reiko Nagano and Hirohito Sone and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Satoshi Imanishi

29 papers receiving 512 citations

Peers

Satoshi Imanishi
Comparison fields: 5 of 72
  • Molecular Biology 266
  • Health, Toxicology and Mutagenesis 184
  • Cancer Research 108
  • Hematology 64
  • Genetics 54
Replace Maria Grazia Mascolo with:
Maria Grazia Mascolo Italy
Chunjie Huang China
Martin Chopra Germany
Bruno Silva Portugal
Prim de Bie Netherlands
Melvenia M. Martin United States
Vinesh Vinayachandran United States
Kaori Kimura‐Kataoka Japan
Chunyan Jiang China
Maria Grazia Mascolo Italy View profile →
Citations per field, relative to Satoshi Imanishi
Satoshi Imanishi · 1×
Citations per year, relative to Satoshi Imanishi
Satoshi Imanishi · 1×

Countries citing papers authored by Satoshi Imanishi

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Imanishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Imanishi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 9
4 4
5 4
6 10
7 1
8 26
9 22
10
Inference of Gene Regulatory Networks to Detect Toxicity-Specific Effects in Human Embryonic Stem Cells
1
11 1
12 26
13 11
14 35
15 11
16 9
17 54
18 26
19 40
20 1

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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