Annop Klamchuen

133 total papers · 2.1k total citations
110 papers, 1.7k citations indexed

About

Annop Klamchuen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Annop Klamchuen has authored 110 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Materials Chemistry, 55 papers in Electrical and Electronic Engineering and 32 papers in Biomedical Engineering. Recurrent topics in Annop Klamchuen's work include ZnO doping and properties (43 papers), Gas Sensing Nanomaterials and Sensors (24 papers) and Advanced Memory and Neural Computing (10 papers). Annop Klamchuen is often cited by papers focused on ZnO doping and properties (43 papers), Gas Sensing Nanomaterials and Sensors (24 papers) and Advanced Memory and Neural Computing (10 papers). Annop Klamchuen collaborates with scholars based in Thailand, Japan and China. Annop Klamchuen's co-authors include Takeshi Yanagida, Kazuki Nagashima, Tomoji Kawai, Masaki Kanai, Keisuke Oka, Mati Horprathum, Gang Meng, Sakon Rahong, Bae Ho Park and Yong He and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nano Letters.

In The Last Decade

Annop Klamchuen

105 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Annop Klamchuen 917 751 600 353 286 110 1.7k
Jung‐Dae Kwon 1.5k 1.6× 805 1.1× 577 1.0× 353 1.0× 293 1.0× 94 2.0k
Jiann Shieh 1000 1.1× 713 0.9× 571 1.0× 364 1.0× 168 0.6× 74 1.7k
Jonas Deuermeier 1.0k 1.1× 891 1.2× 479 0.8× 354 1.0× 192 0.7× 74 1.7k
Franco Dinelli 1.3k 1.4× 617 0.8× 582 1.0× 455 1.3× 156 0.5× 86 2.2k
Suprem R. Das 922 1.0× 635 0.8× 660 1.1× 157 0.4× 327 1.1× 65 1.7k
Sunghwan Lee 1.5k 1.7× 967 1.3× 649 1.1× 713 2.0× 228 0.8× 87 2.1k
Chongxin Shan 833 0.9× 867 1.2× 911 1.5× 452 1.3× 340 1.2× 59 1.9k
Hongbin Zhao 1.3k 1.5× 886 1.2× 453 0.8× 349 1.0× 186 0.7× 102 2.1k
Vivek Maheshwari 806 0.9× 972 1.3× 997 1.7× 311 0.9× 214 0.7× 50 2.1k
Samuele Porro 1.2k 1.4× 987 1.3× 584 1.0× 447 1.3× 287 1.0× 76 2.1k

Countries citing papers authored by Annop Klamchuen

Since Specialization
Citations

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

Fields of papers citing papers by Annop Klamchuen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annop Klamchuen

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

All Works

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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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