Patchanee Chammingkwan

1.3k total citations
71 papers, 1.0k citations indexed

About

Patchanee Chammingkwan is a scholar working on Materials Chemistry, Organic Chemistry and Polymers and Plastics. According to data from OpenAlex, Patchanee Chammingkwan has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 24 papers in Organic Chemistry and 19 papers in Polymers and Plastics. Recurrent topics in Patchanee Chammingkwan's work include Organometallic Complex Synthesis and Catalysis (22 papers), Carbon dioxide utilization in catalysis (15 papers) and Polymer Nanocomposites and Properties (12 papers). Patchanee Chammingkwan is often cited by papers focused on Organometallic Complex Synthesis and Catalysis (22 papers), Carbon dioxide utilization in catalysis (15 papers) and Polymer Nanocomposites and Properties (12 papers). Patchanee Chammingkwan collaborates with scholars based in Japan, Netherlands and Italy. Patchanee Chammingkwan's co-authors include Minoru Terano, Toshiaki Taniike, Toru Wada, Toshiaki Taniike, Ashutosh Thakur, Hui You, Alessandro Piovano, Elena Groppo, Xi Zhang and Kengo Takeuchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Catalysis.

In The Last Decade

Patchanee Chammingkwan

68 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patchanee Chammingkwan 445 344 245 230 195 71 1.0k
Yongbin Sun 760 1.7× 422 1.2× 172 0.7× 87 0.4× 225 1.2× 41 1.6k
Lin Tao 927 2.1× 164 0.5× 351 1.4× 163 0.7× 277 1.4× 60 1.6k
Jesum Alves Fernandes 740 1.7× 189 0.5× 116 0.5× 53 0.2× 238 1.2× 65 1.3k
Dong Guo 563 1.3× 184 0.5× 66 0.3× 234 1.0× 152 0.8× 55 1.2k
Jian Shen 681 1.5× 223 0.6× 179 0.7× 82 0.4× 513 2.6× 62 2.3k
Jingyu Cai 548 1.2× 187 0.5× 156 0.6× 80 0.3× 95 0.5× 51 1.0k
Víctor G. Baldovino‐Medrano 625 1.4× 211 0.6× 225 0.9× 46 0.2× 277 1.4× 54 1.1k
Yi Yao 531 1.2× 142 0.4× 165 0.7× 63 0.3× 159 0.8× 35 1.3k
Lanbo Di 1.1k 2.5× 232 0.7× 222 0.9× 49 0.2× 157 0.8× 75 1.6k
Hefang Wang 612 1.4× 201 0.6× 229 0.9× 55 0.2× 191 1.0× 42 1.0k

Countries citing papers authored by Patchanee Chammingkwan

Since Specialization
Citations

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

Fields of papers citing papers by Patchanee Chammingkwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patchanee Chammingkwan

This figure shows the co-authorship network connecting the top 25 collaborators of Patchanee Chammingkwan. A scholar is included among the top collaborators of Patchanee Chammingkwan 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 Patchanee Chammingkwan. Patchanee Chammingkwan 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.
Falivene, Laura, Ziyun Zhang, Patchanee Chammingkwan, et al.. (2025). Data Driven Modeling of Ziegler–Natta Polypropylene Catalysts: Revisiting the Role of the Internal Donor. ACS Catalysis. 15(7). 5770–5780.
3.
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
4.
Chammingkwan, Patchanee, et al.. (2024). Unbiased dataset for methane dry reforming and catalyst design guidelines obtained by high-throughput experimentation and machine learning. Journal of Catalysis. 442. 115930–115930. 1 indexed citations
6.
Taniike, Toshiaki, et al.. (2024). End-to-End High-Throughput Approach for Data-Driven Internal Donor Development in Heterogeneous Ziegler–Natta Propylene Polymerization. ACS Catalysis. 14(10). 7589–7599. 7 indexed citations
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.
Nguyen, Thanh Ngoc, et al.. (2023). Exploration of ethanol-to-butadiene catalysts by high-throughput experimentation and machine learning. Applied Catalysis A General. 666. 119427–119427. 12 indexed citations
9.
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
10.
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
11.
Seenivasan, Kalaivani, et al.. (2022). Graphene oxide framework-confined Ru (Ru@GOF) as recyclable catalyst for hydrogenation of levulinic acid into γ-valerolactone with formic acid. Journal of Materials Science. 57(25). 11714–11724. 6 indexed citations
12.
13.
Wada, Toru, et al.. (2022). Physical Properties of Isotactic Polypropylene Blended with Less Crystalline Polypropylene. Macromolecular Reaction Engineering. 16(6). 3 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.
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
16.
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
17.
Thakur, Ashutosh, et al.. (2020). Understanding chemiluminescence in catalytic oxidation of CO and hydrocarbons. Catalysis Today. 375. 56–63. 5 indexed citations
18.
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
19.
Wada, Toru, et al.. (2019). Machine Learning-Aided Structure Determination for TiCl4–Capped MgCl2 Nanoplate of Heterogeneous Ziegler–Natta Catalyst. ACS Catalysis. 9(3). 2599–2609. 51 indexed citations
20.
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

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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