Toshiaki Taniike

3.3k total citations
148 papers, 2.6k citations indexed

About

Toshiaki Taniike is a scholar working on Materials Chemistry, Organic Chemistry and Catalysis. According to data from OpenAlex, Toshiaki Taniike has authored 148 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Materials Chemistry, 62 papers in Organic Chemistry and 36 papers in Catalysis. Recurrent topics in Toshiaki Taniike's work include Organometallic Complex Synthesis and Catalysis (53 papers), Catalytic Processes in Materials Science (40 papers) and Carbon dioxide utilization in catalysis (35 papers). Toshiaki Taniike is often cited by papers focused on Organometallic Complex Synthesis and Catalysis (53 papers), Catalytic Processes in Materials Science (40 papers) and Carbon dioxide utilization in catalysis (35 papers). Toshiaki Taniike collaborates with scholars based in Japan, Netherlands and Italy. Toshiaki Taniike's co-authors include Minoru Terano, Patchanee Chammingkwan, Keisuke Takahashi, Toru Wada, Ashutosh Thakur, Yasuhiro Iwasawa, Lauren Takahashi, Mizuki Tada, Thanh Nhat Nguyen and Shun Nishimura and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Toshiaki Taniike

140 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiaki Taniike Japan 27 1.3k 1.1k 606 570 563 148 2.6k
Neng Guo United States 23 1.2k 0.9× 933 0.8× 291 0.5× 335 0.6× 375 0.7× 34 2.2k
Víctor Sans Spain 34 1.1k 0.8× 802 0.7× 482 0.8× 664 1.2× 480 0.9× 83 3.5k
Salai Cheettu Ammal United States 26 1.4k 1.1× 520 0.5× 379 0.6× 572 1.0× 81 0.1× 49 2.7k
Jian Fang China 28 600 0.5× 693 0.6× 554 0.9× 135 0.2× 281 0.5× 92 1.8k
Xiaoyu Han China 29 1.9k 1.5× 886 0.8× 483 0.8× 569 1.0× 236 0.4× 77 3.6k
Feng Sha China 33 624 0.5× 1.9k 1.7× 415 0.7× 671 1.2× 323 0.6× 142 3.2k
Marco Haumann Germany 32 1.4k 1.1× 1.6k 1.4× 722 1.2× 2.5k 4.4× 615 1.1× 122 4.1k
Xiaoyue Mu China 24 1.2k 0.9× 654 0.6× 384 0.6× 528 0.9× 76 0.1× 57 2.5k
Sankaranarayanapillai Shylesh United States 25 1.6k 1.2× 1.8k 1.6× 743 1.2× 383 0.7× 127 0.2× 37 3.3k

Countries citing papers authored by Toshiaki Taniike

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Taniike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiaki Taniike

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiaki Taniike. A scholar is included among the top collaborators of Toshiaki Taniike 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 Toshiaki Taniike. Toshiaki Taniike 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.
Mukherjee, Poulami, Kalaivani Seenivasan, Koichi Higashimine, et al.. (2025). Biomolecules-Derived Nitrogen-Doped Turbostratic Graphene Nanoscaffold Decorated with Cobalt Single Atoms for Enhanced Oxygen Evolution Reaction. Energy & Fuels. 39(6). 3226–3242. 2 indexed citations
2.
3.
Mukherjee, Poulami, et al.. (2025). Accelerated perovskite discovery: screening new catalysts for photocatalytic methylene blue degradation. Materials Advances. 6(14). 4680–4686. 1 indexed citations
4.
Chammingkwan, Patchanee, et al.. (2024). Achieving a balance between permeability and selectivity in a ZIF-8-matrix nanocomposite membrane for desalination. Separation and Purification Technology. 351. 128126–128126. 7 indexed citations
5.
Taniike, Toshiaki, et al.. (2024). Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. Communications Chemistry. 7(1). 11–11. 26 indexed citations
6.
7.
Chammingkwan, Patchanee, et al.. (2023). Parallel Catalyst Synthesis Protocol for Accelerating Heterogeneous Olefin Polymerization Research. Polymers. 15(24). 4729–4729. 3 indexed citations
8.
Wada, Toru, et al.. (2023). Accelerating Non-Empirical Structure Determination of Ziegler–Natta Catalysts with a High-Dimensional Neural Network Potential. The Journal of Physical Chemistry C. 127(24). 11683–11691. 3 indexed citations
9.
Zhang, Xi, et al.. (2022). Dielectric Properties of Biaxially Oriented Polypropylene Nanocomposites Prepared Based on Reactor Granule Technology. ACS Applied Electronic Materials. 4(3). 1257–1265. 12 indexed citations
10.
Takahashi, Lauren, et al.. (2022). Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane. ACS Catalysis. 12(19). 11541–11546. 33 indexed citations
11.
Piovano, Alessandro, Matteo Signorile, Luca Braglia, et al.. (2021). Electronic Properties of Ti Sites in Ziegler–Natta Catalysts. ACS Catalysis. 11(15). 9949–9961. 43 indexed citations
12.
Chammingkwan, Patchanee, et al.. (2021). Less Entangled Ultrahigh-Molecular-Weight Polyethylene Produced by Nano-Dispersed Ziegler–Natta Catalyst. Industrial & Engineering Chemistry Research. 60(7). 2818–2827. 18 indexed citations
13.
D’Amore, Maddalena, et al.. (2021). Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT. The Journal of Physical Chemistry C. 125(36). 20048–20058. 11 indexed citations
14.
Piovano, Alessandro, Toru Wada, Minoru Terano, et al.. (2021). Formation of Highly Active Ziegler–Natta Catalysts Clarified by a Multifaceted Characterization Approach. ACS Catalysis. 11(22). 13782–13796. 32 indexed citations
15.
Taniike, Toshiaki, et al.. (2020). Stabilizer Formulation Based on High-Throughput Chemiluminescence Imaging and Machine Learning. ACS Applied Polymer Materials. 2(8). 3319–3326. 10 indexed citations
16.
Thakur, Ashutosh, et al.. (2019). Cooperative Catalysis by Multiple Active Centers of a Half-Titanocene Catalyst Integrated in Polymer Random Coils. ACS Catalysis. 9(4). 3648–3656. 17 indexed citations
17.
Chammingkwan, Patchanee, et al.. (2016). Probing into morphology evolution of magnesium ethoxide particles as precursor of Ziegler-Natta catalysts. SHILAP Revista de lepidopterología. 9 indexed citations
18.
Thakur, Ashutosh, et al.. (2014). New Quenching Method for Improving Large‐Scale Stopped‐Flow Technique. Macromolecular Reaction Engineering. 8(11). 766–770. 5 indexed citations
19.
Taniike, Toshiaki, et al.. (2012). Critical Role of Interfacial Structures in Degradation and Stabilization of Polypropylene/SiO2 Composites. 24(3). 102–106. 1 indexed citations
20.
Hiraoka, Yuichi, et al.. (2009). Spatial distribution of active Ti species on morphology controlled Mg(OEt)2-based Ziegler-Natta catalyst. 13. 2 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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