Syogo Tejima

1.2k total citations
30 papers, 946 citations indexed

About

Syogo Tejima is a scholar working on Biomedical Engineering, Water Science and Technology and Materials Chemistry. According to data from OpenAlex, Syogo Tejima has authored 30 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 13 papers in Water Science and Technology and 13 papers in Materials Chemistry. Recurrent topics in Syogo Tejima's work include Membrane Separation Technologies (13 papers), Nanopore and Nanochannel Transport Studies (11 papers) and Graphene research and applications (8 papers). Syogo Tejima is often cited by papers focused on Membrane Separation Technologies (13 papers), Nanopore and Nanochannel Transport Studies (11 papers) and Graphene research and applications (8 papers). Syogo Tejima collaborates with scholars based in Japan, United States and South Korea. Syogo Tejima's co-authors include Morinobu Endo, Rodolfo Cruz‐Silva, Kenji Takeuchi, Aaron Morelos‐Gómez, Mauricio Terrones, Takuya Hayashi, Takumi Araki, Josué Ortiz‐Medina, Hiroyuki Muramatsu and Tomoyuki Fukuyo and has published in prestigious journals such as Environmental Science & Technology, Nature Nanotechnology and The Journal of Physical Chemistry B.

In The Last Decade

Syogo Tejima

26 papers receiving 934 citations

Peers

Syogo Tejima

WST

EEE

X. Quan United States

Di Zhou China

Antonio Politano Italy

Yue Chan China

Fernando Vereda Spain

Guo-meng Zhao China

Cheng Shao China

Youdou Zheng China

Tezer Fırat Türkiye

Pengfei Fu China

X. Quan United States

Syogo Tejima

135 ×0.2

WST

571 ×1.0

310 ×0.9

180 ×0.9

EEE

66 ×0.5

Citations per year, relative to Syogo Tejima Syogo Tejima (= 1×) peers X. Quan

Countries citing papers authored by Syogo Tejima

Since Specialization

Citations

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

Fields of papers citing papers by Syogo Tejima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syogo Tejima

This figure shows the co-authorship network connecting the top 25 collaborators of Syogo Tejima. A scholar is included among the top collaborators of Syogo Tejima 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 Syogo Tejima. Syogo Tejima 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

Yamanaka, Ayaka, Ryota Jono, Syogo Tejima, & Jun‐ichi Fujita. (2024). Molecular dynamics simulation of carbon nanotube growth under a tensile strain. Scientific Reports. 14(1). 5625–5625. 2 indexed citations

Jeong, Samuel, et al.. (2024). Elucidating slipping behaviors between carbon nanotubes: Using nitrogen doping and electron irradiation to suppress slippage. Carbon. 231. 119693–119693. 1 indexed citations

Cruz‐Silva, Rodolfo, Aaron Morelos‐Gómez, Juan L. Fajardo‐Díaz, et al.. (2024). Assessment of reactive molecular dynamics to simulate the sulfur effect on the catalytic growth of SWCNTs. 191. 206933–206933.

Morelos‐Gómez, Aaron, et al.. (2023). Artificial intelligence for the prevention and prediction of colorectal neoplasms. Journal of Translational Medicine. 21(1). 431–431. 6 indexed citations

Bonnaud, Patrick, et al.. (2023). Modelling shear thinning of Imidazolium-based ionic liquids. Chemical Physics Letters. 816. 140387–140387. 1 indexed citations

Fajardo‐Díaz, Juan L., Kenji Takeuchi, Aaron Morelos‐Gómez, et al.. (2023). Enhancing boron rejection in low-pressure reverse osmosis systems using a cellulose fiber–carbon nanotube nanocomposite polyamide membrane: A study on chemical structure and surface morphology. Journal of Membrane Science. 679. 121691–121691. 19 indexed citations

Okubo, Soichiro, Koji Yamaguchi, Takamasa Onoki, et al.. (2022). Anisotropic flocculation in shear thickening colloid-polymer suspension via simultaneous observation of rheology and X-ray scattering. Colloids and Surfaces A Physicochemical and Engineering Aspects. 658. 130727–130727. 6 indexed citations

Bonnaud, Patrick, Hiroshi Ushiyama, Syogo Tejima, & Jun‐ichi Fujita. (2022). Viscoelasticity of Low-Molecular-Weight Polyelectrolytes. The Journal of Physical Chemistry B. 126(26). 4899–4913. 4 indexed citations

Fajardo‐Díaz, Juan L., Aaron Morelos‐Gómez, Rodolfo Cruz‐Silva, et al.. (2022). Low-pressure reverse osmosis membrane made of cellulose nanofiber and carbon nanotube polyamide nano-nanocomposite for high purity water production. Chemical Engineering Journal. 448. 137359–137359. 23 indexed citations

10.

Jono, Ryota, Syogo Tejima, & Jun‐ichi Fujita. (2021). Microstructure of the fluid particles around the rigid body at the shear-thickening state toward understanding of the fluid mechanics. Scientific Reports. 11(1). 24204–24204. 2 indexed citations

11.

Cruz‐Silva, Rodolfo, Y. Takizawa, Auppatham Nakaruk, et al.. (2019). New Insights in the Natural Organic Matter Fouling Mechanism of Polyamide and Nanocomposite Multiwalled Carbon Nanotubes-Polyamide Membranes. Environmental Science & Technology. 53(11). 6255–6263. 47 indexed citations

12.

Takizawa, Y., Shigeki Inukai, Takumi Araki, et al.. (2018). Effective Antiscaling Performance of Reverse-Osmosis Membranes Made of Carbon Nanotubes and Polyamide Nanocomposites. ACS Omega. 3(6). 6047–6055. 24 indexed citations

13.

Takizawa, Y., Shigeki Inukai, Takumi Araki, et al.. (2017). Antiorganic Fouling and Low-Protein Adhesion on Reverse-Osmosis Membranes Made of Carbon Nanotubes and Polyamide Nanocomposite. ACS Applied Materials & Interfaces. 9(37). 32192–32201. 35 indexed citations

14.

Kim, Mina, Dawon Jang, Syogo Tejima, et al.. (2016). Strengthened PAN-based carbon fibers obtained by slow heating rate carbonization. Scientific Reports. 6(1). 22988–22988. 55 indexed citations

15.

Cruz‐Silva, Rodolfo, Shigeki Inukai, Takumi Araki, et al.. (2016). High Performance and Chlorine Resistant Carbon Nanotube/Aromatic Polyamide Reverse Osmosis Nanocomposite Membrane. MRS Advances. 1(20). 1469–1476. 14 indexed citations

16.

Inukai, Shigeki, Rodolfo Cruz‐Silva, Josué Ortiz‐Medina, et al.. (2015). High-performance multi-functional reverse osmosis membranes obtained by carbon nanotube·polyamide nanocomposite. Scientific Reports. 5(1). 13562–13562. 107 indexed citations

17.

Araki, Takumi, Rodolfo Cruz‐Silva, Syogo Tejima, et al.. (2015). Molecular Dynamics Study of Carbon Nanotubes/Polyamide Reverse Osmosis Membranes: Polymerization, Structure, and Hydration. ACS Applied Materials & Interfaces. 7(44). 24566–24575. 58 indexed citations

18.

Tachiki, M., et al.. (2005). Emission of continuous terahertz waves by high Tc superconductors. Physica C Superconductivity. 426-431. 8–13. 2 indexed citations

19.

Berber, Savaş, et al.. (2003). Massively Parallel Simulation on Large-Scale Carbon Nanotubes. TechConnect Briefs. 3(2003). 102–105. 1 indexed citations

20.

Park, Noejung, Mina Yoon, Savaş Berber, et al.. (2003). Diamondoids as functional building blocks for nanotechnology. APS March Meeting Abstracts. 2003. 1 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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