T. Horiuchi

504 total citations
26 papers, 387 citations indexed

About

T. Horiuchi is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, T. Horiuchi has authored 26 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in T. Horiuchi's work include Evolutionary Algorithms and Applications (6 papers), Reinforcement Learning in Robotics (5 papers) and Porphyrin Metabolism and Disorders (3 papers). T. Horiuchi is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Reinforcement Learning in Robotics (5 papers) and Porphyrin Metabolism and Disorders (3 papers). T. Horiuchi collaborates with scholars based in Japan, Armenia and India. T. Horiuchi's co-authors include Aaron Novick, Tetsuo Sawaragi, Hironori Aramaki, Yasuhiro Sagara, Akinori Fujino, Hitoshi Takizawa, J Shiga, Ken Ohta, Hisashi Handa and M. Ikegami and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

T. Horiuchi

26 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Horiuchi Japan 13 131 77 66 56 37 26 387
Jinlu Liu China 14 175 1.3× 108 1.4× 86 1.3× 26 0.5× 35 0.9× 32 552
Ramesh Choudhari United States 14 506 3.9× 41 0.5× 60 0.9× 19 0.3× 48 1.3× 22 916
Shanni Li China 17 280 2.1× 27 0.4× 61 0.9× 28 0.5× 38 1.0× 48 808
Pengzhan He China 11 156 1.2× 48 0.6× 38 0.6× 29 0.5× 41 1.1× 25 357
Hanning Wang China 17 330 2.5× 44 0.6× 35 0.5× 54 1.0× 31 0.8× 54 752
Meimei Li China 14 277 2.1× 45 0.6× 26 0.4× 16 0.3× 18 0.5× 59 633
Rouh‐Mei Hu Taiwan 12 200 1.5× 34 0.4× 24 0.4× 48 0.9× 51 1.4× 23 369
Yousef M. Hawsawi Saudi Arabia 19 303 2.3× 57 0.7× 21 0.3× 117 2.1× 66 1.8× 49 713
Chye Ling Tan Singapore 13 202 1.5× 49 0.6× 24 0.4× 45 0.8× 72 1.9× 26 543
Chakresh Kumar Jain India 10 144 1.1× 29 0.4× 30 0.5× 9 0.2× 16 0.4× 66 413

Countries citing papers authored by T. Horiuchi

Since Specialization
Citations

This map shows the geographic impact of T. Horiuchi'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 T. Horiuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Horiuchi more than expected).

Fields of papers citing papers by T. Horiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Horiuchi

This figure shows the co-authorship network connecting the top 25 collaborators of T. Horiuchi. A scholar is included among the top collaborators of T. Horiuchi 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 T. Horiuchi. T. Horiuchi 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.
Tozawa, K., T. Horiuchi, Mitsuru Murata, et al.. (2016). Human adipose tissue‐derived stromal cells can differentiate into megakaryocytes and platelets by secreting endogenous thrombopoietin. Journal of Thrombosis and Haemostasis. 14(6). 1285–1297. 18 indexed citations
2.
Kato, Satoru, et al.. (2003). A two-stage self-organizing map with threshold operation for data classification. 5. 3097–3099. 5 indexed citations
3.
4.
Horiuchi, T., et al.. (2002). Fuzzy interpolation-based Q-learning with profit sharing plan scheme. Proceedings of 6th International Fuzzy Systems Conference. 3. 1707–1712. 6 indexed citations
5.
Handa, Hisashi, A. Ninomiya, T. Horiuchi, Toshiisa Konishi, & Mitsuru Baba. (2002). An incremental state-segmentation method for reinforcement learning using ART neural network. 4. 2732–2737. 1 indexed citations
6.
Handa, Hisashi, A. Ninomiya, T. Horiuchi, Toshiisa Konishi, & Mitsuru Baba. (2002). Adaptive state construction for reinforcement learning and its application to robot navigation problems. 3. 1436–1441. 12 indexed citations
7.
Horiuchi, T., et al.. (2002). Fuzzy interpolation-based Q-learning with continuous states and actions. Proceedings of IEEE 5th International Fuzzy Systems. 1. 594–600. 32 indexed citations
8.
Handa, Hisashi, et al.. (2002). Genetic algorithm involving coevolution mechanism to search for effective genetic information. 709–714. 23 indexed citations
9.
Goso, Yukinobu, et al.. (1997). Immortalized Gastric Epithelial Cell Line GSM06 Synthesizes Hyaluronan under the Influence of Simian Virus 40 Large T-Antigen Expression. The Journal of Biochemistry. 122(1). 96–100. 7 indexed citations
10.
Konda, Y, Hidemi Yokota, Tsuyoshi Kayo, et al.. (1997). Proprotein-processing endoprotease furin controls the growth and differentiation of gastric surface mucous cells.. Journal of Clinical Investigation. 99(8). 1842–1851. 28 indexed citations
11.
Horiuchi, T., M. Ikegami, Reuben M. Cherniack, & Robert J. Mason. (1996). Increased Surface Tension of the Lung and Surfactant in Bleomycin-Induced Pulmonary Fibrosis in Rats. American Journal of Respiratory and Critical Care Medicine. 154(4). 1002–1005. 24 indexed citations
12.
Suzuki, Naoki, Ken Ohta, T. Horiuchi, et al.. (1996). T lymphocytes and silica-induced pulmonary inflammation and fibrosis in mice.. Thorax. 51(10). 1036–1042. 40 indexed citations
13.
Watanabe, Yasunori, Kei Kashima, Tetsuro Suzuki, et al.. (1993). Nucleotide sequence of the hepatitis C virus genome from a patient negative for anti-HCV by the first generation antibody assay. Nucleic Acids Research. 21(4). 1037–1037. 4 indexed citations
14.
Fujita, Masaya, Hironori Aramaki, T. Horiuchi, & Akinori Amemura. (1993). Transcription of the cam operon and camR genes in Pseudomonas putida PpG1. Journal of Bacteriology. 175(21). 6953–6958. 19 indexed citations
15.
Koga, Hideo, et al.. (1993). Complete nucleotide sequence of the 5-exo-hydroxycamphor dehydrogenase gene on the CAM plasmid of Pseudomonas putida (ATCC 17453). Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1174(1). 91–94. 10 indexed citations
16.
Takizawa, Hitoshi, Ken Ohta, Koichi Hirai, et al.. (1989). Mast cells are important in the development of hypersensitivity pneumonitis. A study with mast-cell-deficient mice.. The Journal of Immunology. 143(6). 1982–1988. 32 indexed citations
17.
Horiuchi, T., et al.. (1989). Inhibitory effect of free fatty acids on plasma protein binding of disopyramide in haemodialysis patients. European Journal of Clinical Pharmacology. 36(2). 175–180. 3 indexed citations
18.
Takagi, K, et al.. (1989). Lack of effect of repirinast on the pharmacokinetics of theophylline in asthmatic patients. European Journal of Clinical Pharmacology. 37(3). 301–303. 5 indexed citations
19.
Horiuchi, T., et al.. (1987). Plasma free fatty acids and protein binding of disopyramide during haemodialysis. European Journal of Clinical Pharmacology. 33(3). 327–329. 5 indexed citations
20.
Novick, Aaron & T. Horiuchi. (1961). Hyper-Production of  -Galactosidase by Escherichia coli Bacteria. Cold Spring Harbor Symposia on Quantitative Biology. 26(0). 239–245. 42 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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