Eugene Lin

3.4k citations

86 papers · 2.3k · h-index 29

Impact in

Biological Psychiatry top 2%
- Tryptophan and brain disorders
Behavioral Neuroscience top 10%

Papers in

Molecular Biology 32
- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 6
Genetics 24
- Genetic Associations and Epidemiology 18

Co-authors: Shih‐Jen Tsai (30 shared papers)Hsien‐Yuan Lane (12 shared papers)Chieh‐Hsin Lin (14 shared papers)Albert C. Yang (22 shared papers)Po‐Hsiu Kuo (21 shared papers)Hsien‐Yuan Lane (6 shared papers)Tun-Jen Hsiao (7 shared papers)Sudipto Mukherjee (2 shared papers)
Journals: Pharmacogenomics (6 papers)Scientific Reports (5 papers)Frontiers in Psychiatry (3 papers)Molecular Diagnosis & Therapy (3 papers)Oncotarget (3 papers)
Partner nations: Taiwan United States South Korea

In The Last Decade

Eugene Lin

85 papers receiving 2.2k citations

Peers

Replace Yong Xu with:

Yong Xu China

David B. Keator United States

Clement T. Loy Australia

Ramon Casanova United States

Xiangning Chen United States

Iwona Kłoszewska Poland

Simon M. Laws Australia

Shannon L. Risacher United States

Sudeshna Das United States

Michael Krams United States

Eugene Lin relative to Yong Xu China Yong Xu's profile →

Citations per field

00.5×2×2.7×

Yong Xu · 1×

×0.6 163/285

BP

×0.4 50/126

BN

×2.7 19/7

HI

×0.4 189/428

PMH

×0.5 148/276

ECP

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 86 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	ClusterGAN: Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan	2019	170
2	Machine learning and systems genomics approaches for multi-omics data Biomarker Research ·Eugene Lin, Hsien‐Yuan Lane	2017	130
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	126
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	96
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	90
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	71
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	59
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	57
9	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	53
10	Pharmacogenomics with Antidepressants in the STARD Study Pharmacogenomics* ·Eugene Lin, Po See Chen	2008	52
11	Assessing Gene-Gene Interactions in Pharmacogenomics Molecular Diagnosis & Therapy ·Hsien‐Yuan Lane, Guochuan Tsai, Eugene Lin	2012	50
12	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	49
13	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	47
14	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	46
15	Epigenetics and Depression: An Update Psychiatry Investigation ·Eugene Lin, Shih‐Jen Tsai	2019	44
16	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	42
17	Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease International Journal of Molecular Sciences ·Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane	2021	41
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	41
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	39
20	Effects of circadian clock genes and health-related behavior on metabolic syndrome in a Taiwanese population: Evidence from association and interaction analysis PLoS ONE ·Eugene Lin, Po‐Hsiu Kuo, Yu-Li Liu, Albert C. Yang, Chung-Feng Kao, Shih‐Jen Tsai	2017	35

About Eugene Lin

Eugene Lin is a scholar working on Molecular Biology, Genetics, Physiology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers), Computational Drug Discovery Methods (6 papers), Tryptophan and brain disorders (6 papers), Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Biological Psychiatry (163 citations), Behavioral Neuroscience (50 citations), Health Informatics (19 citations), Psychiatry and Mental health (189 citations) and Experimental and Cognitive Psychology (148 citations). Eugene Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Shih‐Jen Tsai, Hsien‐Yuan Lane, Chieh‐Hsin Lin, Albert C. Yang, Po‐Hsiu Kuo, Hsien‐Yuan Lane, Tun-Jen Hsiao, Sudipto Mukherjee, Sreeram Kannan and Yu‐Li Liu. Their work appears in journals such as Pharmacogenomics, Scientific Reports, Frontiers in Psychiatry, Molecular Diagnosis & Therapy and Oncotarget.

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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