Yuma Tega

479 total citations
21 papers, 316 citations indexed

About

Yuma Tega is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuma Tega has authored 21 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuma Tega's work include Drug Transport and Resistance Mechanisms (11 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Yuma Tega is often cited by papers focused on Drug Transport and Resistance Mechanisms (11 papers), Amino Acid Enzymes and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Yuma Tega collaborates with scholars based in Japan, Ireland and Canada. Yuma Tega's co-authors include Yoshiyuki Kubo, Ken‐ichi Hosoya, Shin‐ichi Akanuma, Toshiki Kurosawa, Yoshiharu Deguchi, Kei Higuchi, Tetsuya Terasaki, Kenji Kawabata, Hiroyuki Kusuhara and Tatsuki Mochizuki and has published in prestigious journals such as International Journal of Molecular Sciences, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Yuma Tega

18 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuma Tega Japan 12 133 114 63 60 59 21 316
Marie‐Christine Boucau France 11 170 1.3× 160 1.4× 50 0.8× 171 2.9× 24 0.4× 15 507
Padmashree S. Tirumalai United States 7 40 0.3× 103 0.9× 67 1.1× 33 0.6× 24 0.4× 9 366
Seiryo Ogata Japan 12 63 0.5× 165 1.4× 18 0.3× 49 0.8× 26 0.4× 28 331
Catarina Chaves France 10 107 0.8× 63 0.6× 55 0.9× 61 1.0× 74 1.3× 12 271
Gavin Brown United Kingdom 13 144 1.1× 139 1.2× 63 1.0× 28 0.5× 87 1.5× 26 495
Tuan Nguyen Minh Vietnam 7 128 1.0× 90 0.8× 48 0.8× 106 1.8× 30 0.5× 15 350
Martina Zandl‐Lang Austria 11 58 0.4× 201 1.8× 26 0.4× 48 0.8× 27 0.5× 14 421
Anika M. S. Hartz United States 4 237 1.8× 83 0.7× 35 0.6× 109 1.8× 92 1.6× 7 417
Claudia Keller Switzerland 17 51 0.4× 217 1.9× 159 2.5× 28 0.5× 11 0.2× 34 495
Aaro J. Jalkanen Finland 14 376 2.8× 303 2.7× 262 4.2× 48 0.8× 18 0.3× 33 608

Countries citing papers authored by Yuma Tega

Since Specialization
Citations

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

Fields of papers citing papers by Yuma Tega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuma Tega

This figure shows the co-authorship network connecting the top 25 collaborators of Yuma Tega. A scholar is included among the top collaborators of Yuma Tega 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 Yuma Tega. Yuma Tega 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
2.
Tega, Yuma, et al.. (2024). In vitro characterization of taurine transport using the human brain microvascular endothelial cell line as a human blood-brain barrier model. Drug Metabolism and Pharmacokinetics. 61. 101040–101040. 2 indexed citations
3.
Endo, Hiroki, Masahiro Ogasawara, Yuma Tega, et al.. (2024). Upregulation of P-Glycoprotein and Breast Cancer Resistance Protein Activity in Newly Developed <i>in Vitro</i> Rat Blood–Brain Barrier Spheroids Using Advanced Glycation End-Products. Biological and Pharmaceutical Bulletin. 47(11). 1893–1903.
4.
Tega, Yuma, et al.. (2024). Molecular Mechanism of SLC6A8 Dysfunction with c.1699T > C (p.S567P) Mutation in Cerebral Creatine Deficiency Syndromes. Biological and Pharmaceutical Bulletin. 47(1). 187–191.
7.
Tega, Yuma, et al.. (2023). Carrier-Mediated Process of Putrescine Elimination at the Rat Blood–Retinal Barrier. International Journal of Molecular Sciences. 24(10). 9003–9003. 3 indexed citations
8.
Kurosawa, Toshiki, Yuma Tega, Kazunobu Aoyama, et al.. (2022). Construction and Functional Evaluation of a Three-Dimensional Blood–Brain Barrier Model Equipped With Human Induced Pluripotent Stem Cell-Derived Brain Microvascular Endothelial Cells. Pharmaceutical Research. 39(7). 1535–1547. 26 indexed citations
9.
Kurosawa, Toshiki, Yuma Tega, Yasuo Uchida, et al.. (2022). Proteomics-Based Transporter Identification by the PICK Method: Involvement of TM7SF3 and LHFPL6 in Proton-Coupled Organic Cation Antiport at the Blood–Brain Barrier. Pharmaceutics. 14(8). 1683–1683. 11 indexed citations
10.
Kurosawa, Toshiki, Yuma Tega, Tatsuki Mochizuki, et al.. (2021). Transport Characteristics of 6-Mercaptopurine in Brain Microvascular Endothelial Cells Derived From Human Induced Pluripotent Stem Cells. Journal of Pharmaceutical Sciences. 110(10). 3484–3490. 4 indexed citations
11.
Mochizuki, Tatsuki, Tadahaya Mizuno, Toshiki Kurosawa, et al.. (2020). Functional Investigation of Solute Carrier Family 35, Member F2, in Three Cellular Models of the Primate Blood-Brain Barrier. Drug Metabolism and Disposition. 49(1). 3–11. 14 indexed citations
12.
Nakakura, Takashi, Takeshi Suzuki, Hideyuki Tanaka, et al.. (2020). Fibronectin is essential for formation of fenestrae in endothelial cells of the fenestrated capillary. Cell and Tissue Research. 383(2). 823–833. 11 indexed citations
13.
Tega, Yuma, Hidetsugu Tabata, Toshiki Kurosawa, et al.. (2020). Structural Requirements for Uptake of Diphenhydramine Analogs into hCMEC/D3 Cells Via the Proton-Coupled Organic Cation Antiporter. Journal of Pharmaceutical Sciences. 110(1). 397–403. 14 indexed citations
14.
Tega, Yuma, et al.. (2018). Impact of Nicotine Transport across the Blood–Brain Barrier: Carrier-Mediated Transport of Nicotine and Interaction with Central Nervous System Drugs. Biological and Pharmaceutical Bulletin. 41(9). 1330–1336. 32 indexed citations
15.
Takahashi, Yu, Tomohiro Nishimura, Kei Higuchi, et al.. (2018). Transport of Pregabalin Via L-Type Amino Acid Transporter 1 (SLC7A5) in Human Brain Capillary Endothelial Cell Line. Pharmaceutical Research. 35(12). 246–246. 41 indexed citations
16.
Kurosawa, Toshiki, Yuma Tega, Kei Higuchi, et al.. (2018). Expression and Functional Characterization of Drug Transporters in Brain Microvascular Endothelial Cells Derived from Human Induced Pluripotent Stem Cells. Molecular Pharmaceutics. 15(12). 5546–5555. 43 indexed citations
17.
18.
Tega, Yuma, et al.. (2015). Functional expression of nicotine influx transporter in A549 human alveolar epithelial cells. Drug Metabolism and Pharmacokinetics. 31(1). 99–101. 9 indexed citations
19.
Tega, Yuma, Shin‐ichi Akanuma, Yoshiyuki Kubo, & Ken‐ichi Hosoya. (2014). Involvement of the H+/Organic Cation Antiporter in Nicotine Transport in Rat Liver. Drug Metabolism and Disposition. 43(1). 89–92. 16 indexed citations
20.
Tega, Yuma, Shin‐ichi Akanuma, Yoshiyuki Kubo, Tetsuya Terasaki, & Ken‐ichi Hosoya. (2012). Blood-to-brain influx transport of nicotine at the rat blood?brain barrier: Involvement of a pyrilamine-sensitive organic cation transport process. Neurochemistry International. 62(2). 173–181. 41 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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