Eugene Lin

3.4k citations

91 papers · 2.5k · h-index 30

Impact in

Biological Psychiatry top 2%
- Tryptophan and brain disorders
Health Informatics top 5%

Papers in

Genetics 25
- Genetic Associations and Epidemiology 19
Molecular Biology 34
- Bioinformatics and Genomic Networks 12
- Gene expression and cancer classification 7

Co-authors: Hsien‐Yuan Lane (12 shared papers)Shih‐Jen Tsai (32 shared papers)Chieh‐Hsin Lin (14 shared papers)Hsien‐Yuan Lane (6 shared papers)Albert C. Yang (22 shared papers)Po‐Hsiu Kuo (21 shared papers)Sreeram Kannan (3 shared papers)Sudipto Mukherjee (3 shared papers)
Journals: Pharmacogenomics (6 papers)Scientific Reports (5 papers)Molecular Diagnosis & Therapy (3 papers)Oncotarget (3 papers)Frontiers in Psychiatry (3 papers)
Partner nations: Taiwan United States South Korea

In The Last Decade

Eugene Lin

90 papers receiving 2.5k citations

Peers

Replace Chieh‐Hsin Lin with:

Chieh‐Hsin Lin Taiwan

Yong Ji Xu China

Clement T. Loy Australia

David B. Keator United States

Petroula Proitsi United Kingdom

Ramon Casanova United States

Sudeshna Das United States

Shannon L. Risacher United States

Iwona Kłoszewska Poland

Simon Matthew Laws Australia

Eugene Lin relative to Chieh‐Hsin Lin Taiwan Chieh‐Hsin Lin's profile →

Citations per field

00.5×2×2.6×

Chieh‐Hsin Lin · 1×

×0.3 172/536

BP

×1.0 30/31

HI

×0.6 52/84

BN

×0.4 210/524

PMH

×2.6 344/132

GENET

Citations per year

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Countries citing papers authored by Eugene Lin

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eugene Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eugene Lin Line = papers co-authored together Eugene Lin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	ClusterGAN: Latent Space Clustering in Generative Adversarial Networks AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) ·Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan	2019	209
2	Machine learning and systems genomics approaches for multi-omics data Biomarker Research ·Eugene Lin, Hsien‐Yuan Lane	2017	152
3	A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers Frontiers in Psychiatry ·Eugene Lin, Po‐Hsiu Kuo, Yu-Li Liu, Younger W.‐Y. Yu, Albert C. Yang, Shih‐Jen Tsai	2018	135
4	Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches International Journal of Molecular Sciences ·Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane	2020	111
5	Closed contour edge detection of blood vessel lumen and outer wall boundaries in black-blood MR images Magnetic Resonance Imaging ·Chun Yuan, Eugene Lin, Jacob Millard, Jenq–Neng Hwang	1999	96
6	Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design Molecules ·Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane	2020	86
7	A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis BMC Bioinformatics ·Eugene Lin, Sudipto Mukherjee, Sreeram Kannan	2020	63
8	Interaction of serotonin-related genes affects short-term antidepressant response in major depressive disorder Progress in Neuro-Psychopharmacology and Biological Psychiatry ·Eugene Lin, Po See Chen, Hui Hua Chang, Po‐Wu Gean, Hsin Chun Tsai, Yen Kuang Yang, Ru‐Band Lu	2009	60
9	Pharmacogenomics with Antidepressants in the STARD Study Pharmacogenomics* ·Eugene Lin, Po See Chen	2008	59
10	A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data Journal of Translational Medicine ·Lung-Cheng Huang, Sen-Yen Hsu, Eugene Lin	2009	58
11	Assessing Gene-Gene Interactions in Pharmacogenomics Molecular Diagnosis & Therapy ·Hsien‐Yuan Lane, Guochuan Emil Tsai, Eugene Lin	2012	55
12	De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update Journal of Chemical Information and Modeling ·Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane	2022	53
13	Gene–Gene Interactions of the Brain-Derived Neurotrophic-Factor and Neurotrophic Tyrosine Kinase Receptor 2 Genes in Geriatric Depression Rejuvenation Research ·Eugene Lin, Chen‐Jee Hong, Jen‐Ping Hwang, Ying‐Jay Liou, Chen-Hong Yang, Daniel Cheng, Shih‐Jen Tsai	2009	52
14	Epigenetics and Depression: An Update Psychiatry Investigation ·Eugene Lin, Shih‐Jen Tsai	2019	51
15	Association and interaction of APOA5, BUD13, CETP, LIPA and health-related behavior with metabolic syndrome in a Taiwanese population Scientific Reports ·Eugene Lin, Po‐Hsiu Kuo, Yu‐Li Liu, Albert C. Yang, Chung‐Feng Kao, Shih‐Jen Tsai	2016	49
16	Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease International Journal of Molecular Sciences ·Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane	2021	48
17	Genome-wide microarray analysis of gene expression profiling in major depression and antidepressant therapy Progress in Neuro-Psychopharmacology and Biological Psychiatry ·Eugene Lin, Shih‐Jen Tsai	2015	48
18	An Artificial Neural Network Approach to the Drug efficacy of Interferon Treatments Pharmacogenomics ·Eugene Lin, Yuchi Hwang, Shu-Ching Wang, Z John Gu, Ellson Y. Chen	2006	44
19	Transforming growth factor-β signaling pathway-associated genes SMAD2 and TGFBR2 are implicated in metabolic syndrome in a Taiwanese population Scientific Reports ·Eugene Lin, Po‐Hsiu Kuo, Yu‐Li Liu, Albert C. Yang, Shih‐Jen Tsai	2017	38
20	Association of the C825T polymorphism in the GNB3 gene with obesity and metabolic phenotypes in a Taiwanese population Genes & Nutrition ·Tun-Jen Hsiao, Yuchi Hwang, Can-Hong Liu, Hua-Mei Chang, Eugene Lin	2012	35

About Eugene Lin

Eugene Lin is a scholar working on Genetics, Molecular Biology, Biological Psychiatry, Physiology and Psychiatry and Mental health, having authored 91 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (7 papers), Diet and metabolism studies (7 papers), Computational Drug Discovery Methods (6 papers), Tryptophan and brain disorders (6 papers), Machine Learning in Healthcare (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Biological Psychiatry (172 citations), Health Informatics (30 citations), Behavioral Neuroscience (52 citations), Psychiatry and Mental health (210 citations) and Genetics (344 citations). Eugene Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Hsien‐Yuan Lane, Shih‐Jen Tsai, Chieh‐Hsin Lin, Hsien‐Yuan Lane, Albert C. Yang, Po‐Hsiu Kuo, Sreeram Kannan, Sudipto Mukherjee, Tun-Jen Hsiao and Himanshu Asnani. Their work appears in journals such as Pharmacogenomics, Scientific Reports, Molecular Diagnosis & Therapy, Oncotarget and Frontiers in Psychiatry.

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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Eugene Lin

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About Eugene Lin

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