M. Saitō
- Co-authors
- Makoto EnomotoMakoto UmedaKeiko MurasugiTsun‐Kuo LinKenji UraguchiTakashi TatsunoKenji TakahashiYuji Noguchi
- Topics
- Liver Disease Diagnosis and Treatment (2 papers)Diet and metabolism studies (2 papers)Carcinogens and Genotoxicity Assessment (1 paper)
In The Last Decade
M. Saitō
24 papers receiving 500 citations
Peers
Comparison fields: 5 of 100
- Plant Science 176
- Molecular Biology 154
- Cancer Research 89
- Food Science 62
- Language and Linguistics 59
Countries citing papers authored by M. Saitō
This map shows the geographic impact of M. Saitō'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 M. Saitō with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saitō more than expected).
Fields of papers citing papers by M. Saitō
This network shows the impact of papers produced by M. Saitō. 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 M. Saitō. The network helps show where M. Saitō may publish in the future.
Co-authorship network of co-authors of M. Saitō
This figure shows the co-authorship network connecting the top 25 collaborators of M. Saitō. A scholar is included among the top collaborators of M. Saitō 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 M. Saitō. M. Saitō is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 66 | |
| 6 | 60 | |
| 7 | [Long-term follow-up in patients receiving anticoagulation therapy: potency of therapy and complications]. | 3 |
| 8 | 35 | |
| 9 | Adoptive immunotherapy by pantropic killer cells recovered from OK-432-injected tumor sites in mice. | 24 |
| 10 | Clinical utility of pulsed Doppler flowmetry in patients with portal hypertension. | 25 |
| 11 | Time course of biochemical and histological alterations following a single feeding of carbon tetrachloride to mice. | 3 |
| 12 | Circadian rhythmic changes in blood urea of rats and its relation to food intake. | 2 |
| 13 | 21 | |
| 14 | 37 | |
| 15 | 27 | |
| 16 | 26 | |
| 17 | 76 | |
| 18 | Comparative study on skin-necrotizing effect of scirpene metabolites of Fusaria. | 26 |
| 19 | 19 | |
| 20 | Cytotoxic effect of inorganic, phenyl, and alkyl mercuric compounds on HeLa cells. | 39 |
About M. Saitō
M. Saitō is a scholar working on Radiological and Ultrasound Technology, Internal Medicine and Hepatology, having authored 24 papers that have together received 584 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Diet and metabolism studies (2 papers) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Cancer Research (89 citations), Language and Linguistics (59 citations) and Plant Science (176 citations). M. Saitō has collaborated with scholars based in Japan, China and Romania. Frequent co-authors include Makoto Enomoto, Makoto Umeda, Keiko Murasugi, Tsun‐Kuo Lin, Kenji Uraguchi, Takashi Tatsuno, Kenji Takahashi, Yuji Noguchi, Eisuke Tatsumi and Zaigui Li. Their work appears in journals such as Food Chemistry, Annual Review of Microbiology and Cellular and Molecular Life Sciences.
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.