Takeji Ohata

404 total citations
10 papers, 343 citations indexed

About

Takeji Ohata is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Takeji Ohata has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Pharmacology. Recurrent topics in Takeji Ohata's work include Metabolomics and Mass Spectrometry Studies (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Takeji Ohata is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Takeji Ohata collaborates with scholars based in Japan, United Kingdom and China. Takeji Ohata's co-authors include Mami Takahashi, Kazunori Fukuda, Keiji Wakabayashi, Takashi Sügimura, Ai Okamura, Akinobu Okada, Maki Ohishi, Masashi Honma, Jiro Seki and Ken‐ichi Suzumura and has published in prestigious journals such as Experimental Neurology, Carcinogenesis and Journal of Proteome Research.

In The Last Decade

Takeji Ohata

10 papers receiving 331 citations

Peers

Takeji Ohata

MB

PHARM

PHYSI

PHARM

BIOCH

Ishtiaq Mahmud Japan

Jia Lv China

Esther Sala Spain

Klarissa D. Hardy United States

Mamatha Garige United States

Kyeong-Mi Choi South Korea

J Dřímal Slovakia

Kotha Anil Kumar India

Sivalokanathan Sarveswaran United States

Dai Eun Sok South Korea

Ishtiaq Mahmud Japan

Takeji Ohata

113 ×0.8

MB

155 ×2.0

PHARM

34 ×0.5

PHYSI

58 ×1.1

PHARM

52 ×1.0

BIOCH

Citations per year, relative to Takeji Ohata Takeji Ohata (= 1×) peers Ishtiaq Mahmud

Countries citing papers authored by Takeji Ohata

Since Specialization

Citations

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

Fields of papers citing papers by Takeji Ohata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeji Ohata

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

All Works

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10 of 10 papers shown

1.

Okamura, Ai, et al.. (2016). High content analysis assay for prediction of human hepatotoxicity in HepaRG and HepG2 cells. Toxicology in Vitro. 33. 63–70. 43 indexed citations

2.

Ohishi, Maki, Keiko Endo, Ken‐ichi Suzumura, et al.. (2014). Hydroxyproline, a Serum Biomarker Candidate for Gastric Ulcer in Rats: A Comparison Study of Metabolic Analysis of Gastric Ulcer Models Induced by Ethanol, Stress, and Aspirin. Biomarker Insights. 9. BMI.S15918–BMI.S15918. 15 indexed citations

3.

Ohishi, Maki, Keiko Endo, Ken‐ichi Suzumura, et al.. (2014). Metabolomic analysis of the effects of omeprazole and famotidine on aspirin-induced gastric injury. Metabolomics. 10(5). 995–1004. 10 indexed citations

4.

Ohishi, Maki, Sana Ota, Ken‐ichi Suzumura, et al.. (2013). Metabolic Profiling to Identify Potential Serum Biomarkers for Gastric Ulceration Induced by Nonsteroid Anti-Inflammatory Drugs. Journal of Proteome Research. 12(3). 1399–1407. 28 indexed citations

5.

Ohata, Takeji. (1998). Inhibition by 1'-acetoxychavicol acetate of lipopolysaccharide- and interferon-gamma-induced nitric oxide production through suppression of inducible nitric oxide synthase gene expression in RAW264 cells. Carcinogenesis. 19(6). 1007–1012. 42 indexed citations

6.

Ohata, Takeji, Kazunori Fukuda, Mami Takahashi, Takashi Sügimura, & Keiji Wakabayashi. (1997). RAPID COMMUNICATION. Japanese Journal of Cancer Research. 88(3). 234–237. 59 indexed citations

7.

Ishikawa, Atsuko, et al.. (1997). Single and repeated intravenous toxicity studies of pamiteplase (genetical recombination) in rats and monkeys.. The Journal of Toxicological Sciences. 22(2). 117–133. 6 indexed citations

8.

Ishikawa, Atsuko, Michio Fujiwara, Takeji Ohata, et al.. (1997). Reproductive toxicity, mutagenicity and antigenicity of pamiteplase (genetical recombination).. The Journal of Toxicological Sciences. 22(3). 207–217. 1 indexed citations

9.

Takahashi, Mami, Kazunori Fukuda, Takeji Ohata, Takashi Sügimura, & Keiji Wakabayashi. (1997). Increased expression of inducible and endothelial constitutive nitric oxide synthases in rat colon tumors induced by azoxymethane.. PubMed. 57(7). 1233–7. 126 indexed citations

10.

Kawakami, Akio, et al.. (1995). YM90K, an AMPA Antagonist, Has No Neurotoxic Effects on Cerebrocortical Neurons in Rats. Experimental Neurology. 134(2). 199–204. 13 indexed citations

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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