T. Kodama

477 total citations
21 papers, 354 citations indexed

About

T. Kodama is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, T. Kodama has authored 21 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in T. Kodama's work include Magnetism in coordination complexes (3 papers), Microbial Community Ecology and Physiology (2 papers) and Neuroscience and Neural Engineering (2 papers). T. Kodama is often cited by papers focused on Magnetism in coordination complexes (3 papers), Microbial Community Ecology and Physiology (2 papers) and Neuroscience and Neural Engineering (2 papers). T. Kodama collaborates with scholars based in Japan, Pakistan and United States. T. Kodama's co-authors include Yasushi Igarashi, Toshiyuki Kawasumi, Yasuji Minoda, Takahito Hara, Koso Ohama, Eri Okamoto, Yasuo Kusunoki, R. Nagai, Masaki Yoshida and Shoichi Ueda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Human Reproduction.

In The Last Decade

T. Kodama

21 papers receiving 347 citations

Peers

T. Kodama

ECOLO

IMMUN

EDM

Joan C. Dunbar United States

Tien-Chin Chang United States

Michael Reinartz Germany

Ghanshyam D. Heda United States

Cong Wen China

Letícia Aragão Santiago Brazil

Denis Nadeau Canada

Chunyan Liu China

Joan C. Dunbar United States

T. Kodama

362 ×2.9

103 ×1.0

ECOLO

18 ×0.4

IMMUN

20 ×0.4

13 ×0.3

EDM

Citations per year, relative to T. Kodama T. Kodama (= 1×) peers Joan C. Dunbar

Countries citing papers authored by T. Kodama

Since Specialization

Citations

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

Fields of papers citing papers by T. Kodama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Kodama, T., et al.. (2021). High-Precision Mobile Robotic Manipulator for Reconfigurable Manufacturing Systems. International Journal of Automation Technology. 15(5). 651–660. 12 indexed citations

Tsuchiya, Satoshi, T. Kodama, Yusuke Nakamura, et al.. (2020). Electronic Inhomogeneity in Organic Charge Transfer Salt κ-(BEDT-TTF)₂Cu[N(CN)₂]I Probed by Polarized Femtosecond Spectroscopy. Journal of the Physical Society of Japan. 89(6). 64712–64712. 5 indexed citations

Kodama, T.. (2019). GIs and the concept of terroir for the development of local wine and sake clusters in Japan. SHILAP Revista de lepidopterología. 15. 3006–3006. 4 indexed citations

Kodama, T. & Shoji Makino. (2017). Convolutional neural network architecture and input volume matrix design for ERP classifications in a tactile P300-based Brain-Computer Interface. PubMed. 2017. 3814–3817. 3 indexed citations

Kodama, T., Shoji Makino, & Tomasz M. Rutkowski. (2016). Tactile brain-computer interface using classification of P300 responses evoked by full body spatial vibrotactile stimuli. 1–8. 7 indexed citations

Kikuchi, K., et al.. (2001). Oxygen and selenium substituted derivatives of DOET donor: synthesis and properties. Synthetic Metals. 120(1-3). 901–902. 7 indexed citations

Kodama, Masaaki & T. Kodama. (2000). In search of the cause of gastric cancer.. PubMed. 14(1). 125–38. 3 indexed citations

Kodama, T., Takahito Hara, Eri Okamoto, Yasuo Kusunoki, & Koso Ohama. (1998). Characteristic changes of large granular lymphocytes that strongly express CD56 in endometrium during the menstrual cycle and early pregnancy. Human Reproduction. 13(4). 1036–1043. 41 indexed citations

Jinnouchi, Yoshiteru, Hiroyuki Sano, R. Nagai, et al.. (1998). Glycolaldehyde-Modified Low Density Lipoprotein Leads Macrophages to Foam Cells via the Macrophage Scavenger Receptor. The Journal of Biochemistry. 123(6). 1208–1217. 39 indexed citations

10.

Noguchi, Shiro, S Tamura, Seishi Jinnouchi, et al.. (1997). Gadolinium-enhanced MR imaging of thyroid and parathyroid masses.. Radiology. 202(3). 765–772. 21 indexed citations

11.

Ishii, Masahiro, Tetsuya Ono, Ken‐ichiro Suzuki, Yasushi Igarashi, & T. Kodama. (1994). Electron Transport System inPseudomonas hydrogenothermophilaStrain TH-1, a Thermophilic Hydrogen-oxidizing Bacterium. Bioscience Biotechnology and Biochemistry. 58(1). 1–4. 3 indexed citations

12.

Luoma, Jukka, Timo P. Hiltunen, Søren K. Moestrup, et al.. (1994). Expression of α2-macroglobulin receptor/LDL receptor-related protein and scavenger receptor in human atherosclerotic lesions. Atherosclerosis. 109(1-2). 115–115. 1 indexed citations

13.

Itakura, Hiroshige, Akiyo Matsumoto, Hiroshi Asaoka, & T. Kodama. (1993). [Structure and function of the scavenger receptor].. PubMed. 51(4). 1083–91. 3 indexed citations

14.

Okamoto, Takahiro, Yoshiko Fujimoto, T. Obara, Yoichi M. Ito, & T. Kodama. (1992). Experimental Study on Adrenal Autografts in Rats to Preserve Normal Adrenocortical Function after Bilateral Adrenalectomy. European Surgical Research. 24(2). 112–118. 5 indexed citations

15.

Igarashi, Yasushi, et al.. (1991). Hydrogenovibrio marinus gen. nov., sp. nov., a Marine Obligately Chemolithoautotrophic Hydrogen-Oxidizing Bacterium. International Journal of Systematic Bacteriology. 41(1). 130–133. 42 indexed citations

16.

Kodama, T., Takahiro Okamoto, Yohei Fujimoto, et al.. (1988). C cell adenoma of the thyroid: a rare but distinct clinical entity.. PubMed. 104(6). 997–1003. 13 indexed citations

17.

Kodama, T., et al.. (1988). [Recently experienced ten cases of insulinoma--preoperative diagnosis of localization and intraoperative simultaneous monitoring of glucose and insulin].. PubMed. 89(3). 398–407. 2 indexed citations

18.

Kawasumi, Toshiyuki, Yasushi Igarashi, T. Kodama, & Yasuji Minoda. (1984). Hydrogenobacter thermophilus gen. nov., sp. nov., an Extremely Thermophilic, Aerobic, Hydrogen-Oxidizing Bacterium. International Journal of Systematic Bacteriology. 34(3). 370–370. 132 indexed citations

19.

Hayakawa, M., et al.. (1978). A case of gastric carcinoma whose serum was positive for alpha-fetoprotein, variant alkaline phosphatase and CEA (author's transl).. PubMed. 75(2). 224–31. 2 indexed citations

20.

Kodama, T. & Shigehiko Taniguchi. (1977). Sodium-controlled Coupling of Respiration to Energy-linked Functions in Pseudomonas stutzeri. Journal of General Microbiology. 98(2). 503–510. 6 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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