Seo Lin Nam

Seo Lin Nam

University of Alberta

H-index: 6

North America-Canada

About Seo Lin Nam

Seo Lin Nam, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Metabolomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Preclinical Modeling of Metabolic Syndrome to Study the Pleiotropic Effects of Novel Antidiabetic Therapy Independent of Obesity

Discriminating extra virgin olive oils from common edible oils: Comparable performance of PLS‐DA models trained on low‐field and high‐field 1H NMR data

Evaluation of normalization strategies for GC-based metabolomics

A Preclinical Model of Obesity-Independent Metabolic Syndrome for Studying the Effects of Novel Antidiabetic Therapy Beyond Glycemic Control

Use of reconstituted kefir consortia to determine the impact of microbial composition on kefir metabolite profiles

Detection of common adulterants in olive oils by bench top 60 MHz 1H NMR with partial least squares regression

Optimization of fecal sample homogenization for untargeted metabolomics

Untargeted Metabolomic Profiling of Aqueous and Lyophilized Pooled Human Feces from Two Diet Cohorts Using Two-Dimensional Gas Chromatography Coupled with Time-of-Flight Mass …

Seo Lin Nam Information

University

Position

___

Citations(all)

112

Citations(since 2020)

106

Cited By

20

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Seo Lin Nam Skills & Research Interests

Metabolomics

Top articles of Seo Lin Nam

Preclinical Modeling of Metabolic Syndrome to Study the Pleiotropic Effects of Novel Antidiabetic Therapy Independent of Obesity

2024/4/22

Discriminating extra virgin olive oils from common edible oils: Comparable performance of PLS‐DA models trained on low‐field and high‐field 1H NMR data

Phytochemical Analysis

2024/3/23

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Evaluation of normalization strategies for GC-based metabolomics

Metabolomics

2024/2/12

Seo Lin Nam
Seo Lin Nam

H-Index: 2

A Preclinical Model of Obesity-Independent Metabolic Syndrome for Studying the Effects of Novel Antidiabetic Therapy Beyond Glycemic Control

Authorea Preprints

2023/11/17

Use of reconstituted kefir consortia to determine the impact of microbial composition on kefir metabolite profiles

Food Research International

2023/11/1

Detection of common adulterants in olive oils by bench top 60 MHz 1H NMR with partial least squares regression

Journal of Food Composition and Analysis

2023/9/1

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Optimization of fecal sample homogenization for untargeted metabolomics

Metabolomics

2023/8/11

Seo Lin Nam
Seo Lin Nam

H-Index: 2

James Harynuk
James Harynuk

H-Index: 17

Untargeted Metabolomic Profiling of Aqueous and Lyophilized Pooled Human Feces from Two Diet Cohorts Using Two-Dimensional Gas Chromatography Coupled with Time-of-Flight Mass …

Metabolites

2023/7/7

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Dietary benzoic acid and supplemental enzymes alter fiber-fermenting taxa and metabolites in the cecum of weaned pigs

Journal of Animal Science

2022/11

Hydrothermal aging of polyimide film

Journal of Applied Polymer Science

2022/5/20

Seo Lin Nam
Seo Lin Nam

H-Index: 2

James Harynuk
James Harynuk

H-Index: 17

Evaluation of fresh, frozen, and lyophilized fecal samples by SPME and derivatization methods using GC× GC-TOFMS

Metabolomics

2022/4/15

Seo Lin Nam
Seo Lin Nam

H-Index: 2

James Harynuk
James Harynuk

H-Index: 17

Investigation of the accelerated thermal aging behavior of polyetherimide and lifetime prediction at elevated temperature

Journal of Applied Polymer Science

2022/4/15

Chungyeon Cho
Chungyeon Cho

H-Index: 2

Seo Lin Nam
Seo Lin Nam

H-Index: 2

A× GC-TOFMS Metabolomics Data.

Separations (2297-8739)

2021/6/1

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Metabolomics by GC× GC-TOFMS: Overcoming Challenges from Sample Preparation to Data Analysis Towards Standardization of the Workflow

2021

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Automated screening and filtering scripts for GC× GC-TOFMS metabolomics data

Separations

2021/6/15

Seo Lin Nam
Seo Lin Nam

H-Index: 2

Towards standardization of data normalization strategies to improve urinary metabolomics studies by GC× GC-TOFMS

Metabolites

2020/9

Seo Lin Nam
Seo Lin Nam

H-Index: 2

See List of Professors in Seo Lin Nam University(University of Alberta)