Naoko Niho

22 papers receiving 823 citations

Peers

Naoko Niho
Comparison fields: 5 of 87
  • Cancer Research 259
  • Applied Microbiology and Biotechnology 28
  • Pharmacology 157
  • Biochemistry 55
  • Oncology 216
Replace Shakir M. Saud with:
Shakir M. Saud United States
M. Margaret Juliana United States
Narayanan K. Narayanan United States
César Aliaga United States
Paola Avena Italy
Tadayoshi Hasuma Japan
Michael A. Pereira United States
Malisetty V. Swamy United States
Donatella Vizza Italy
Yoko Fukaura Japan
Naoko Niho relative to Shakir M. Saud United States Shakir M. Saud's profile →
Citations per field
00.5×1.5×1.8×
Shakir M. Saud · 1×
Citations per year

Countries citing papers authored by Naoko Niho

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Niho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2
Concomitant suppression of hyperlipidemia and intestinal polyp formation in Apc-deficient mice by peroxisome proliferator-activated receptor ligands.
2003134
3 2001130
4 200375
5 200555
6 200842
7 200628
8 200627
9 200526
10 200625
11 200125
12 200024
13 200723
14 200523
15 200320
16 200717
17 200613
18
[A 13-week subchronic toxicity study of chitin in F344 rats].
199910
19 20029
20 20076

About Naoko Niho

Naoko Niho is a scholar working on Cancer Research, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Genetics, having authored 22 papers that have together received 858 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (8 papers), Inflammatory mediators and NSAID effects (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Estrogen and related hormone effects (4 papers), Genetic factors in colorectal cancer (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Cancer Research (259 citations), Applied Microbiology and Biotechnology (28 citations), Pharmacology (157 citations), Biochemistry (55 citations) and Oncology (216 citations). Naoko Niho has collaborated with scholars based in Japan, United Kingdom and Sri Lanka. Frequent co-authors include Keiji Wakabayashi, Mami Takahashi, Takashi Sügimura, Michihiro Mutoh, Yutaka Shoji, Makoto Shibutani, Kazuhiro Toyoda, Tomohiro Kitamura, Chikako Uneyama and Noriyuki Takahashi. Their work appears in journals such as Carcinogenesis, Cancer Science, Food and Chemical Toxicology, International Journal of Cancer and Nutrition and Cancer.

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.

Explore authors with similar magnitude of impact