Taichi Inui

1.2k total citations
26 papers, 941 citations indexed

About

Taichi Inui is a scholar working on Molecular Biology, Periodontics and Physiology. According to data from OpenAlex, Taichi Inui has authored 26 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Periodontics and 7 papers in Physiology. Recurrent topics in Taichi Inui's work include Oral microbiology and periodontitis research (7 papers), Salivary Gland Disorders and Functions (6 papers) and Natural product bioactivities and synthesis (5 papers). Taichi Inui is often cited by papers focused on Oral microbiology and periodontitis research (7 papers), Salivary Gland Disorders and Functions (6 papers) and Natural product bioactivities and synthesis (5 papers). Taichi Inui collaborates with scholars based in United States, United Kingdom and Austria. Taichi Inui's co-authors include Guido F. Pauli, Scott G. Franzblau, Yuehong Wang, J. Brent Friesen, Alain Berthod, Ryan Case, Sang‐Hyun Cho, Nikolaus H. Fischer, Lucy J. Holcombe and Yuehong Wang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Taichi Inui

26 papers receiving 896 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taichi Inui United States 16 435 244 178 159 157 26 941
Motoyuki Tagashira Japan 18 332 0.8× 167 0.7× 126 0.7× 156 1.0× 232 1.5× 40 1.1k
Simone Cristina Baggio Gnoatto Brazil 25 720 1.7× 369 1.5× 133 0.7× 122 0.8× 231 1.5× 71 1.5k
Matthias Lechtenberg Germany 21 382 0.9× 509 2.1× 42 0.2× 182 1.1× 217 1.4× 55 1.3k
Fatma M. Abdel Bar Egypt 16 421 1.0× 155 0.6× 39 0.2× 130 0.8× 121 0.8× 70 833
Rajamohamed Beema Shafreen India 19 403 0.9× 149 0.6× 17 0.1× 94 0.6× 171 1.1× 45 1.0k
James T. Lyles United States 17 395 0.9× 339 1.4× 54 0.3× 164 1.0× 380 2.4× 26 1.2k
Varsha Jadhav India 14 150 0.3× 232 1.0× 36 0.2× 131 0.8× 138 0.9× 47 808
Maan T. Khayat Saudi Arabia 23 503 1.2× 126 0.5× 25 0.1× 74 0.5× 79 0.5× 67 1.1k
Amita Mishra India 21 514 1.2× 469 1.9× 25 0.1× 109 0.7× 215 1.4× 47 1.5k
Birendra Shrivastava India 16 291 0.7× 148 0.6× 49 0.3× 84 0.5× 115 0.7× 125 1.1k

Countries citing papers authored by Taichi Inui

Since Specialization
Citations

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

Fields of papers citing papers by Taichi Inui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taichi Inui

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

All Works

20 of 20 papers shown
1.
Croft, Julie, et al.. (2022). Effectiveness of oral care interventions on malodour in dogs. BMC Veterinary Research. 18(1). 164–164. 9 indexed citations
2.
Grant, Melissa M., et al.. (2022). A Mass Spectrometric Approach to the Proteomic Profiling of the Canis lupus familiaris Acquired Enamel Pellicle on Hydroxyapatite Discs. Journal of Veterinary Dentistry. 39(3). 241–249. 2 indexed citations
3.
Inui, Taichi, et al.. (2020). The canine oral microbiome: variation in bacterial populations across different niches. BMC Microbiology. 20(1). 42–42. 51 indexed citations
4.
Inui, Taichi, et al.. (2019). Effect of mechanically stimulated saliva on initial human dental biofilm formation. Scientific Reports. 9(1). 11805–11805. 14 indexed citations
5.
Inui, Taichi, et al.. (2018). The Saliva Proteome of Dogs: Variations Within and Between Breeds and Between Species. PROTEOMICS. 18(3-4). 34 indexed citations
6.
Hope, Christopher K., Qian Wang, Philip W. Smith, et al.. (2017). Dental plaque regrowth studies to evaluate chewing gum formulations incorporating magnolia bark extract. Journal of Functional Foods. 37. 612–617. 8 indexed citations
7.
Edirisinghe, Indika, et al.. (2016). Short-term effects of chewing gum on satiety and afternoon snack intake in healthy weight and obese women. Physiology & Behavior. 159. 64–71. 12 indexed citations
8.
Walker, Jessica, Joel M. Walker, Amarnath Maitra, et al.. (2016). Magnolia officinalis L. Fortified Gum Improves Resistance of Oral Epithelial Cells Against Inflammation. The American Journal of Chinese Medicine. 44(6). 1167–1185. 5 indexed citations
9.
Vijay, Amrita, Taichi Inui, M.W.J. Dodds, Gordon Proctor, & Guy H. Carpenter. (2015). Factors That Influence the Extensional Rheological Property of Saliva. PLoS ONE. 10(8). e0135792–e0135792. 49 indexed citations
10.
Inui, Taichi, et al.. (2015). Extracellular Glycoside Hydrolase Activities in the Human Oral Cavity. Applied and Environmental Microbiology. 81(16). 5471–5476. 17 indexed citations
11.
Pauli, Guido F., Shao‐Nong Chen, David C. Lankin, et al.. (2014). Essential Parameters for Structural Analysis and Dereplication by 1H NMR Spectroscopy. Journal of Natural Products. 77(6). 1473–1487. 73 indexed citations
12.
Park, Eun‐Young, et al.. (2014). BMI and race/ethnicity differences on satiety and food intake among women (120.7). The FASEB Journal. 28(S1). 1 indexed citations
13.
Inui, Taichi, Yuehong Wang, Samuel M. Pro, Scott G. Franzblau, & Guido F. Pauli. (2012). Unbiased evaluation of bioactive secondary metabolites in complex matrices. Fitoterapia. 83(7). 1218–1225. 62 indexed citations
14.
Inui, Taichi, et al.. (2010). Sesquiterpenes from Oplopanax horridus. Journal of Natural Products. 73(4). 563–567. 50 indexed citations
15.
Inui, Taichi. (2008). Phytochemical and biochemometric evaluation of the Alaskan anti-TB ethnobotanical: Oplopanax horridus.. Figshare. 3 indexed citations
16.
Deng, Shixin, Yuehong Wang, Taichi Inui, et al.. (2008). Anti‐TB polyynes from the roots of Angelica sinensis. Phytotherapy Research. 22(7). 878–882. 45 indexed citations
17.
Inui, Taichi, et al.. (2007). Counter-current chromatography based analysis of synergy in an anti-tuberculosis ethnobotanical. Journal of Chromatography A. 1151(1-2). 211–215. 58 indexed citations
18.
Pauli, Guido F., Ryan Case, Taichi Inui, et al.. (2005). New perspectives on natural products in TB drug research. Life Sciences. 78(5). 485–494. 139 indexed citations
19.
Chang, Jun & Taichi Inui. (2005). Novel Phenolic Glycoside Dimer and Trimer from the Whole Herb of Pyrola rotundifolia. Chemical and Pharmaceutical Bulletin. 53(8). 1051–1053. 16 indexed citations
20.
Saikawa, Yoko, Taichi Inui, Toshikatsu Okuno, et al.. (2001). Toxic principles of a poisonous mushroom Podostroma cornu-damae. Tetrahedron. 57(39). 8277–8281. 38 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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