S Naito

1.1k citations
26 papers · 910 · h-index 14

Impact in

Papers in

S Naito

26 papers receiving 894 citations

Peers

S Naito
Comparison fields: 5 of 97
  • Biomaterials 305
  • Oncology 203
  • Pulmonary and Respiratory Medicine 240
  • Microbiology 37
  • Radiology, Nuclear Medicine and Imaging 133
Replace Jan Vaage with:
Jan Vaage United States
Seiichi Tada Japan
Nikki Parker United States
Deepika Dhawan United States
Sanjay Thamake United States
Samar El Achy Egypt
George R. Dakwar Belgium
Kenji Irimura Japan
Ela Markovsky Israel
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Citations per field
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Citations per year

Countries citing papers authored by S Naito

Since Specialization
Citations

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

Fields of papers citing papers by S Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005329
2 2007123
3 200683
4 200265
5 200442
6 199640
7 200434
8 199327
9 201125
10 200821
11 201021
12
Development of novel reversal agents, imidazothiazole derivatives, targeting MDR1- and MRP-mediated multidrug resistance.
199819
13 201414
14 199514
15 19939
16 19958
17
Establishment of two human renal cell carcinoma cell lines with different chemosensitivity.
19968
18 20107
19 20025
20 20033

About S Naito

S Naito is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Molecular Biology and Cancer Research, having authored 26 papers that have together received 910 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (4 papers), Prostate Cancer Treatment and Research (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cancer therapeutics and mechanisms (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Biomaterials (305 citations), Oncology (203 citations), Pulmonary and Respiratory Medicine (240 citations), Microbiology (37 citations) and Radiology, Nuclear Medicine and Imaging (133 citations). S Naito has collaborated with scholars based in Japan and United States. Frequent co-authors include Takahito Negishi, Yasuhiro Matsumura, H Uchino, Fumiaki Koizumi, Nobuhiro Nishiyama, Takashi Honda, Tadao Kakizoe, T Hayashi, Kazunori Kataoka and Toshiro Migita. Their work appears in journals such as Japanese Journal of Clinical Oncology, Cancer, British Journal of Cancer, The Prostate and Journal of Biomechanics.

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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