Tai Duc Tran

557 total citations
8 papers, 470 citations indexed

About

Tai Duc Tran is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Tai Duc Tran has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 4 papers in Molecular Biology. Recurrent topics in Tai Duc Tran's work include Advanced Nanomaterials in Catalysis (7 papers), Electrochemical sensors and biosensors (6 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tai Duc Tran is often cited by papers focused on Advanced Nanomaterials in Catalysis (7 papers), Electrochemical sensors and biosensors (6 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tai Duc Tran collaborates with scholars based in South Korea. Tai Duc Tran's co-authors include Moon Il Kim, Phuong Thy Nguyen, Jungbae Kim, Manab Deb Adhikari, Minsoo Chung, Kyung-Min Yeon, In‐Seon Lee, Il Tae Kim, Thuan Ngoc Vo and Seyed Majid Ghoreishian and has published in prestigious journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical and International Journal of Biological Macromolecules.

In The Last Decade

Tai Duc Tran

8 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tai Duc Tran South Korea	8	272	248	228	171	53	8	470
Minsoo Chung South Korea	6	284 1.0×	262 1.1×	243 1.1×	128 0.7×	60 1.1×	7	489
Junchen Zhuo China	15	327 1.2×	214 0.9×	154 0.7×	183 1.1×	41 0.8×	20	541
Liangbing Wang China	8	252 0.9×	259 1.0×	158 0.7×	68 0.4×	43 0.8×	11	498
Jie Dan China	13	271 1.0×	158 0.6×	143 0.6×	156 0.9×	80 1.5×	19	449
Weiran Zhu China	12	205 0.8×	269 1.1×	137 0.6×	185 1.1×	16 0.3×	26	508
Elnaz Ranjbakhsh Iran	5	102 0.4×	158 0.6×	132 0.6×	91 0.5×	66 1.2×	10	351
Phuong Thy Nguyen South Korea	11	292 1.1×	204 0.8×	196 0.9×	114 0.7×	45 0.8×	15	431
Javier Lou-Franco United Kingdom	8	424 1.6×	317 1.3×	149 0.7×	249 1.5×	22 0.4×	11	592
Yuanchang Zhang China	11	112 0.4×	179 0.7×	169 0.7×	120 0.7×	37 0.7×	16	383

Countries citing papers authored by Tai Duc Tran

Since Specialization

Citations

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

Fields of papers citing papers by Tai Duc Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai Duc Tran. 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 Tai Duc Tran. The network helps show where Tai Duc Tran may publish in the future.

Co-authorship network of co-authors of Tai Duc Tran

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

All Works

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8 of 8 papers shown

Park, Bum Jun, et al.. (2022). Silver nanoparticle-coated polydopamine-copper hybrid nanoflowers as ultrasensitive surface-enhanced Raman spectroscopy probes for detecting thiol-containing molecules. Sensors and Actuators B Chemical. 369. 132246–132246. 10 indexed citations

Tran, Tai Duc, et al.. (2022). Laccase-mimicking Mn–Cu hybrid nanoflowers for paper-based visual detection of phenolic neurotransmitters and rapid degradation of dyes. Journal of Nanobiotechnology. 20(1). 358–358. 52 indexed citations

Tran, Tai Duc, et al.. (2021). DNA-copper hybrid nanoflowers as efficient laccase mimics for colorimetric detection of phenolic compounds in paper microfluidic devices. Biosensors and Bioelectronics. 182. 113187–113187. 128 indexed citations

Tran, Tai Duc, et al.. (2020). A Convenient Colorimetric Bacteria Detection Method Utilizing Chitosan-Coated Magnetic Nanoparticles. Nanomaterials. 10(1). 92–92. 55 indexed citations

Vo, Thuan Ngoc, et al.. (2020). In situ growth of hybrid nanoflowers on activated carbon fibers as electrodes for mediatorless enzymatic biofuel cells. Materials Letters. 281. 128662–128662. 15 indexed citations

Lee, In‐Seon, Manab Deb Adhikari, Tai Duc Tran, et al.. (2019). Glucose oxidase-copper hybrid nanoflowers embedded with magnetic nanoparticles as an effective antibacterial agent. International Journal of Biological Macromolecules. 155. 1520–1531. 68 indexed citations

Adhikari, Manab Deb, et al.. (2019). Magnetic Nanoparticles‐Embedded Enzyme‐Inorganic Hybrid Nanoflowers with Enhanced Peroxidase‐Like Activity and Substrate Channeling for Glucose Biosensing. Advanced Healthcare Materials. 8(9). e1801507–e1801507. 91 indexed citations

Tran, Tai Duc & Moon Il Kim. (2018). Organic-Inorganic Hybrid Nanoflowers as Potent Materials for Biosensing and Biocatalytic Applications. BioChip Journal. 12(4). 268–279. 51 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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