Ahai C. Lua

28 total papers · 410 total citations
21 papers, 339 citations indexed

About

Ahai C. Lua is a scholar working on Toxicology, Molecular Biology and Pharmacology. According to data from OpenAlex, Ahai C. Lua has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Toxicology, 8 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Ahai C. Lua's work include Forensic Toxicology and Drug Analysis (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Treatment of Major Depression (5 papers). Ahai C. Lua is often cited by papers focused on Forensic Toxicology and Drug Analysis (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Treatment of Major Depression (5 papers). Ahai C. Lua collaborates with scholars based in Taiwan, United States and Malaysia. Ahai C. Lua's co-authors include Lin Hu, Jianmei Wu, A. L. Demain, Kristiina Kruus, Lawrence Shih‐Hsin Wu, Chao‐Zong Liu, Bojian Wu, Ingrid Lua, S. Huang and Ho‐Hsiung Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

Ahai C. Lua

18 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Ahai C. Lua	123	105	85	75	63	21	339
Alim A. Fatah	96 0.8×	105 1.0×	68 0.8×	85 1.1×	30 0.5×	17	377
Nicholas B Tiscione	196 1.6×	55 0.5×	41 0.5×	45 0.6×	63 1.0×	20	299
Daniela Sorio	116 0.9×	84 0.8×	102 1.2×	49 0.7×	55 0.9×	21	331
Francesca Freni	203 1.7×	70 0.7×	47 0.6×	23 0.3×	42 0.7×	24	358
Michael J. Kogan	79 0.6×	71 0.7×	61 0.7×	50 0.7×	42 0.7×	13	344
D. Noel Sims	162 1.3×	133 1.3×	26 0.3×	15 0.2×	71 1.1×	23	378
Viviane Maes	221 1.8×	97 0.9×	131 1.5×	17 0.2×	102 1.6×	14	391
Dayanne Mozaner Bordin	70 0.6×	44 0.4×	66 0.8×	37 0.5×	28 0.4×	22	346
Flavio Zancanaro	97 0.8×	87 0.8×	65 0.8×	12 0.2×	54 0.9×	16	404
B Skuterud	130 1.1×	67 0.6×	30 0.4×	19 0.3×	130 2.1×	17	360

Countries citing papers authored by Ahai C. Lua

Since Specialization

Citations

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

Fields of papers citing papers by Ahai C. Lua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahai C. Lua. 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 Ahai C. Lua. The network helps show where Ahai C. Lua may publish in the future.

Co-authorship network of co-authors of Ahai C. Lua

This figure shows the co-authorship network connecting the top 25 collaborators of Ahai C. Lua. A scholar is included among the top collaborators of Ahai C. Lua 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 Ahai C. Lua. Ahai C. Lua 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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