Ngoc Tran

2.2k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Ngoc Tran is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ngoc Tran has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ngoc Tran's work include Pluripotent Stem Cells Research (5 papers), Advanced Memory and Neural Computing (4 papers) and Neuroscience and Neural Engineering (4 papers). Ngoc Tran is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Advanced Memory and Neural Computing (4 papers) and Neuroscience and Neural Engineering (4 papers). Ngoc Tran collaborates with scholars based in Australia, United States and Germany. Ngoc Tran's co-authors include Kristen Brennand, Yan Li, Chelsea Gelboin-Burkhart, Shane McCarthy, Anthony Simone, Diana Yu, Jonathan Sebat, Fred H. Gage, Gong Chen and Yangling Mu and has published in prestigious journals such as Nature, The FASEB Journal and Schizophrenia Bulletin.

In The Last Decade

Ngoc Tran

18 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modelling schizophrenia using human induced pluripotent stem cells

2011 985 citations Kristen Brennand, Anthony Simone et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ngoc Tran Australia	10	833	334	242	169	161	18	1.3k
Eunchai Kang United States	18	725 0.9×	492 1.5×	262 1.1×	125 0.7×	641 4.0×	28	1.6k
Alexandre Hiroaki Kihara Brazil	23	922 1.1×	445 1.3×	77 0.3×	202 1.2×	146 0.9×	83	1.7k
Hanzhi Zhao United States	14	675 0.8×	328 1.0×	73 0.3×	178 1.1×	127 0.8×	22	1.2k
César S. Mendes Portugal	11	442 0.5×	533 1.6×	138 0.6×	83 0.5×	136 0.8×	21	1.4k
Jacque Pak Kan Ip Hong Kong	15	561 0.7×	355 1.1×	312 1.3×	237 1.4×	187 1.2×	27	1.1k
Melvin Ayala United States	18	1.2k 1.5×	460 1.4×	139 0.6×	324 1.9×	415 2.6×	46	1.9k
Catharina E.E.M. Van der Zee Netherlands	19	510 0.6×	412 1.2×	129 0.5×	102 0.6×	160 1.0×	27	1.1k
Huatai Xu China	11	361 0.4×	490 1.5×	116 0.5×	283 1.7×	182 1.1×	19	992
Jeonghoon Choi South Korea	17	635 0.8×	515 1.5×	179 0.7×	116 0.7×	138 0.9×	23	1.1k
Kristen R. Maynard United States	18	932 1.1×	310 0.9×	137 0.6×	144 0.9×	150 0.9×	42	1.5k

Countries citing papers authored by Ngoc Tran

Since Specialization

Citations

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

Fields of papers citing papers by Ngoc Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ngoc Tran

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Tran, Ngoc, et al.. (2025). Establishment of a CRISPR-Cas9-mediated keap1aknockout protocol in zebrafish (Danio rerio) for implementation in Vietnam. online first. 1 indexed citations

2.

Tran, Ngoc, et al.. (2025). PBP: Post-training Backdoor Purification for Malware Classifiers. 2 indexed citations

3.

Le, Thanh Van, et al.. (2023). Anti-DreamBooth: Protecting users from personalized text-to-image synthesis. 2116–2127. 22 indexed citations

4.

Tran, Ngoc, Jean-Guy Schneider, Ingo Weber, & A. K. Qin. (2020). Hyper-parameter optimization in classification: To-do or not-to-do. Pattern Recognition. 103. 107245–107245. 44 indexed citations

5.

Tran, Ngoc, et al.. (2019). Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm. arXiv (Cornell University). 423–427. 7 indexed citations

6.

Topol, Aaron, Ngoc Tran, & Kristen Brennand. (2015). A Guide to Generating and Using hiPSC Derived NPCs for the Study of Neurological Diseases. Journal of Visualized Experiments. e52495–e52495. 34 indexed citations

7.

Topol, Aaron, Ngoc Tran, & Kristen Brennand. (2015). A Guide to Generating and Using hiPSC Derived NPCs for the Study of Neurological Diseases. Journal of Visualized Experiments. 6 indexed citations

8.

Pereira, Gerald G., Ngoc Tran, & Paul W. Cleary. (2014). Segregation of combined size and density varying binary granular mixtures in a slowly rotating tumbler. Granular Matter. 16(5). 711–732. 39 indexed citations

9.

Tran, Ngoc, et al.. (2014). investigating the mechanisms involved in aberrant neurosphere migration in schizophrenia (784.2). The FASEB Journal. 28(S1). 1 indexed citations

10.

Yang, Jiawei, Ngoc Tran, Omid Kavehei, et al.. (2013). A charge-balanced 4-wire interface for the interconnections of biomedical implants. 4. 202–205. 3 indexed citations

11.

Ladran, Ian, Ngoc Tran, Aaron Topol, & Kristen Brennand. (2013). Neural stem and progenitor cells in health and disease. WIREs Systems Biology and Medicine. 5(6). 701–715. 27 indexed citations

12.

Tran, Ngoc, Ian Ladran, & Kristen Brennand. (2012). Modeling Schizophrenia Using Induced Pluripotent Stem Cell–Derived and Fibroblast-Induced Neurons. Schizophrenia Bulletin. 39(1). 4–10. 23 indexed citations

13.

Tran, Ngoc, et al.. (2012). Crosstalk current measurements using multi-electrode arrays in saline. PubMed. 2012. 3021–3024. 2 indexed citations

14.

Brennand, Kristen, Anthony Simone, Chelsea Gelboin-Burkhart, et al.. (2011). Modelling schizophrenia using human induced pluripotent stem cells. Nature. 473(7346). 221–225. 985 indexed citations breakdown →

15.

Tran, Ngoc, Efstratios Skafidas, Jiawei Yang, et al.. (2011). A prototype 64-electrode stimulator in 65 nm CMOS process towards a high density epi-retinal prosthesis. PubMed. 2011. 6729–6732. 18 indexed citations

16.

Yang, Jiawei, Ngoc Tran, Efstratios Skafidas, et al.. (2011). A subthreshold down converter optimized for super-low-power applications in MICS Band. 19. 189–192. 6 indexed citations

17.

Tran, Ngoc, Jiawei Yang, David C. Ng, et al.. (2009). A fully flexible stimulator using 65 nm cmos process for 1024-electrode epi-retinal prosthesis. PubMed. 78. 1643–1646. 9 indexed citations

18.

Gordon, Evian, Kylie J. Barnett, Nicholas Cooper, Ngoc Tran, & Leanne M. Williams. (2008). AN "INTEGRATIVE NEUROSCIENCE" PLATFORM: APPLICATION TO PROFILES OF NEGATIVITY AND POSITIVITY BIAS. Journal of Integrative Neuroscience. 7(3). 345–366. 40 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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