Chung Tin

1.9k total citations
57 papers, 1.4k citations indexed

About

Chung Tin is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chung Tin has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 16 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chung Tin's work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Neural dynamics and brain function (9 papers). Chung Tin is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Neural dynamics and brain function (9 papers). Chung Tin collaborates with scholars based in Hong Kong, China and United States. Chung Tin's co-authors include Xiaolong Zhai, Chi‐Sang Poon, Rosa H. M. Chan, Beth Jelfs, Cia‐Hin Lau, Pik Kwan Lo, Gang Song, Ling Sum Liu, Miu Shan Chan and Dick Yan Tam and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Chung Tin

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung Tin Hong Kong 22 589 533 347 288 181 57 1.4k
Dong‐Joo Kim South Korea 21 459 0.8× 298 0.6× 210 0.6× 116 0.4× 489 2.7× 104 1.6k
William Craelius United States 23 384 0.7× 648 1.2× 740 2.1× 553 1.9× 470 2.6× 67 1.9k
Stavros Zanos United States 19 791 1.3× 226 0.4× 265 0.8× 88 0.3× 581 3.2× 70 1.5k
Philippe Pouliot Canada 23 523 0.9× 456 0.9× 269 0.8× 78 0.3× 120 0.7× 66 1.6k
Qihong Wang China 22 276 0.5× 233 0.4× 34 0.1× 154 0.5× 254 1.4× 75 1.3k
Fangang Meng China 28 568 1.0× 141 0.3× 115 0.3× 659 2.3× 635 3.5× 163 2.8k
Andrei Dragomir United States 17 467 0.8× 389 0.7× 86 0.2× 160 0.6× 252 1.4× 76 1.1k
Xiaoming Deng China 22 256 0.4× 119 0.2× 54 0.2× 280 1.0× 128 0.7× 89 1.9k
Mohammad Firoozabadi Iran 21 673 1.1× 433 0.8× 105 0.3× 78 0.3× 251 1.4× 114 1.5k

Countries citing papers authored by Chung Tin

Since Specialization
Citations

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

Fields of papers citing papers by Chung Tin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung Tin

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

All Works

20 of 20 papers shown
1.
Wei, Yihui, et al.. (2024). Impact of Body Image Perception on Behavioral Outcomes in Chinese Adolescent and Young Adult Survivors of Sarcoma. Cancer Medicine. 13(23). e70320–e70320. 2 indexed citations
2.
3.
Liu, Yingjian, Guoyang Liu, Shibin Wu, & Chung Tin. (2024). Phase spectrogram of EEG from S-transform Enhances epileptic seizure detection. Expert Systems with Applications. 262. 125621–125621. 10 indexed citations
4.
5.
Xiao, Na, et al.. (2023). Positive feedback of efferent copy via pontine nucleus facilitates cerebellum-mediated associative learning. Cell Reports. 42(2). 112072–112072. 7 indexed citations
6.
Cheung, Yin Ting, Chung Tin, Kevin W.H. Kwok, et al.. (2023). Clinical, neuroimaging, and behavioural risk factors for neurocognitive impairment in Chinese patients with haemophilia: A multicentre study. Haemophilia. 29(4). 1074–1086. 1 indexed citations
7.
Lau, Cia‐Hin, et al.. (2022). Multimodal detection of flap endonuclease 1 activity through CRISPR/Cas12a trans-cleavage of single-strand DNA oligonucleotides. Biosensors and Bioelectronics. 220. 114859–114859. 34 indexed citations
8.
Lam, Chun Sing, et al.. (2022). Real-world data on herb-drug interactions in oncology: A scoping review of pharmacoepidemiological studies. Phytomedicine. 103. 154247–154247. 16 indexed citations
9.
Kumar, Gajendra, Pallavi Asthana, Wing‐Ho Yung, et al.. (2022). Deep Brain Stimulation of the Interposed Nucleus Reverses Motor Deficits and Stimulates Production of Anti-inflammatory Cytokines in Ataxia Mice. Molecular Neurobiology. 59(7). 4578–4592. 7 indexed citations
10.
Lau, Cia‐Hin, et al.. (2020). CRISPR-based strategies for targeted transgene knock-in and gene correction. PubMed. 9. 20–20. 18 indexed citations
11.
Zhai, Xiaolong & Chung Tin. (2018). Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network. IEEE Access. 6. 27465–27472. 204 indexed citations
12.
Xu, Tao, et al.. (2017). Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning. Journal of Neural Engineering. 15(1). 16021–16021. 14 indexed citations
13.
Au, Ngan Pan Bennett, Gajendra Kumar, Pallavi Asthana, et al.. (2016). Ciguatoxin reduces regenerative capacity of axotomized peripheral neurons and delays functional recovery in pre-exposed mice after peripheral nerve injury. Scientific Reports. 6(1). 26809–26809. 23 indexed citations
14.
Tam, Dick Yan, Ziwen Dai, Miu Shan Chan, et al.. (2015). A Reversible DNA Logic Gate Platform Operated by One‐ and Two‐Photon Excitations. Angewandte Chemie International Edition. 55(1). 164–168. 46 indexed citations
15.
Poon, Chi‐Sang, Chung Tin, & Gang Song. (2015). Submissive hypercapnia: Why COPD patients are more prone to CO2 retention than heart failure patients. Respiratory Physiology & Neurobiology. 216. 86–93. 29 indexed citations
16.
Poon, Chi‐Sang & Chung Tin. (2012). Mechanism of augmented exercise hyperpnea in chronic heart failure and dead space loading. Respiratory Physiology & Neurobiology. 186(1). 114–130. 18 indexed citations
17.
Song, Gang, et al.. (2011). Habituation without NMDA Receptor-Dependent Desensitization of Hering- Apnea Reflex in a Mecp2 [superscript + / -] Mutant Mouse Model of Rett Syndrome. Frontiers A Journal of Women Studies. 1 indexed citations
18.
Tin, Chung, Karlman Wasserman, Neil S. Cherniack, & Chi‐Sang Poon. (2009). Paradoxical Potentiation of Exercise Hyperpnea in Congestive Heart Failure Contradicts Sherrington Chemoreflex Model and Supports a Respiratory Optimization Model. Advances in experimental medicine and biology. 669. 69–72. 3 indexed citations
19.
Poon, Chi‐Sang, et al.. (2007). Homeostasis of exercise hyperpnea and optimal sensorimotor integration: The internal model paradigm. Respiratory Physiology & Neurobiology. 159(1). 1–13. 54 indexed citations
20.
Wang, Guangbin, Gang Song, Chung Tin, & Chi‐Sang Poon. (2005). Nonassociative Learning in Expiratory Inhibition of Inspiratory Motor Output: An Experimental and Modeling Study. PubMed. 122. 5843–5846. 1 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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