Khac‐Minh Thai

80 total papers · 1.3k total citations
59 papers, 1.0k citations indexed

About

Khac‐Minh Thai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Khac‐Minh Thai has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 17 papers in Organic Chemistry. Recurrent topics in Khac‐Minh Thai's work include Computational Drug Discovery Methods (21 papers), Synthesis and biological activity (14 papers) and Drug Transport and Resistance Mechanisms (7 papers). Khac‐Minh Thai is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Synthesis and biological activity (14 papers) and Drug Transport and Resistance Mechanisms (7 papers). Khac‐Minh Thai collaborates with scholars based in Vietnam, Austria and South Korea. Khac‐Minh Thai's co-authors include Thanh‐Dao Tran, Gerhard F. Ecker, Minh-Tri Le, Dieu-Thuong Thi Trinh, Quoc‐Thai Nguyen, Viet‐Khoa Tran‐Nguyen, Haeil Park, Hyun‐Ju Park, Hyun Pyo Kim and Simon Bordage and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and International Journal of Molecular Sciences.

In The Last Decade

Khac‐Minh Thai

56 papers receiving 980 citations

Author Peers

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

Author Last Decade Papers Cites
Khac‐Minh Thai 393 371 316 204 116 59 1.0k
Max K. Leong 430 1.1× 193 0.5× 285 0.9× 110 0.5× 146 1.3× 40 1.2k
Maria Maddalena Cavalluzzi 510 1.3× 299 0.8× 119 0.4× 144 0.7× 65 0.6× 65 1.1k
Maha M. Abdel‐Fattah 300 0.8× 265 0.7× 125 0.4× 105 0.5× 68 0.6× 57 884
Manikanta Murahari 464 1.2× 330 0.9× 269 0.9× 115 0.6× 164 1.4× 51 1.2k
Prafulla B. Choudhari 311 0.8× 673 1.8× 201 0.6× 104 0.5× 57 0.5× 106 1.1k
Clement Agoni 468 1.2× 154 0.4× 226 0.7× 88 0.4× 68 0.6× 74 912
Sundarapandian Thangapandian 770 2.0× 214 0.6× 403 1.3× 151 0.7× 257 2.2× 44 1.2k
Jayaraman Muthukumaran 481 1.2× 268 0.7× 321 1.0× 98 0.5× 126 1.1× 83 1.1k
Radwan Alnajjar 291 0.7× 471 1.3× 254 0.8× 87 0.4× 135 1.2× 71 1.0k
Sarfaraz Alam 381 1.0× 453 1.2× 220 0.7× 96 0.5× 94 0.8× 40 1000

Countries citing papers authored by Khac‐Minh Thai

Since Specialization
Citations

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

Fields of papers citing papers by Khac‐Minh Thai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khac‐Minh Thai. 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 Khac‐Minh Thai. The network helps show where Khac‐Minh Thai may publish in the future.

Co-authorship network of co-authors of Khac‐Minh Thai

This figure shows the co-authorship network connecting the top 25 collaborators of Khac‐Minh Thai. A scholar is included among the top collaborators of Khac‐Minh Thai 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 Khac‐Minh Thai. Khac‐Minh Thai 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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