Masaru Sekijima
- Plant Science top 5%
- Molecular Biology
- Environmental Chemistry top 2%
- Cancer Research top 10%
- Oncology
- Co-authors
- Satoshi NagataTomoaki TsutsumiMasao SugamataKazuto NishioYoshio UenoYuji UenoYoshitsugu SugiuraSihui Yu
- Topics
- Electromagnetic Fields and Biological Effects (9 papers)Carcinogens and Genotoxicity Assessment (8 papers)Aquatic Ecosystems and Phytoplankton Dynamics (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Masaru Sekijima
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Plant Science 389
- Molecular Biology 369
- Environmental Chemistry 297
- Cancer Research 246
- Oncology 213
Countries citing papers authored by Masaru Sekijima
This map shows the geographic impact of Masaru Sekijima'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 Masaru Sekijima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Sekijima more than expected).
Fields of papers citing papers by Masaru Sekijima
This network shows the impact of papers produced by Masaru Sekijima. 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 Masaru Sekijima. The network helps show where Masaru Sekijima may publish in the future.
Co-authorship network of co-authors of Masaru Sekijima
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Sekijima. A scholar is included among the top collaborators of Masaru Sekijima 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 Masaru Sekijima. Masaru Sekijima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 17 | |
| 4 | 19 | |
| 5 | 31 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 42 | |
| 9 | 28 | |
| 10 | 21 | |
| 11 | 9 | |
| 12 | Early Response Genes Expression in Human Glioblastoma Cells Exposed to 60 Hz Elliptically Polarized Magnetic Fields | 1 |
| 13 | 125 | |
| 14 | 205 | |
| 15 | "P-19 Risk Assessment of Microcystins, the Hepatotoxic Algal Toxins, In Environmental Water. Part 2. : The Acute Toxicity of Microcystin-LR given by po and ip Routes and the Immunohistological Analysis of Hepatocellular Distribution in Mice. | 1 |
| 16 | 118 | |
| 17 | 122 | |
| 18 | 6 | |
| 19 | 16 | |
| 20 | 4 |
About Masaru Sekijima
Masaru Sekijima is a scholar working on Biophysics, Environmental Chemistry and Cancer Research, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (9 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). The work is most often cited by research in Biophysics (188 citations), Environmental Chemistry (297 citations) and Cancer Research (246 citations). Masaru Sekijima has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Satoshi Nagata, Tomoaki Tsutsumi, Masao Sugamata, Kazuto Nishio, Yoshio Ueno, Yuji Ueno, Yoshitsugu Sugiura, Sihui Yu, T. Tanaka and Toshinori Yoshida. Their work appears in journals such as Oncogene, The FASEB Journal and Carcinogenesis.
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.