In Seok Yang

842 total citations
25 papers, 579 citations indexed

About

In Seok Yang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, In Seok Yang has authored 25 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in In Seok Yang's work include Molecular Biology Techniques and Applications (7 papers), Forensic and Genetic Research (7 papers) and Genomics and Phylogenetic Studies (4 papers). In Seok Yang is often cited by papers focused on Molecular Biology Techniques and Applications (7 papers), Forensic and Genetic Research (7 papers) and Genomics and Phylogenetic Studies (4 papers). In Seok Yang collaborates with scholars based in South Korea, United States and Pakistan. In Seok Yang's co-authors include Sangwoo Kim, Kyung Hyun Kim, Woo Ick Yang, Kyoung‐Jin Shin, Hwan Young Lee, Jihye Lee, Mi Sook Chung, Jung Sun Lee, Eun Hye Kim and Sung Soo Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

In Seok Yang

23 papers receiving 570 citations

Peers

In Seok Yang

MB

GENET

PRM

ONCOL

CR

Eiman Mukhtar United States

Jiahuang Li China

Hong‐Jin Kim South Korea

Dong Kee Jeong South Korea

Xiuyun Tian China

Abdel Hady A. Abdel Wahab Egypt

Gang Lǚ United States

Hannes Loferer Switzerland

Yukinobu Goso Japan

Wenchuan Leng China

Eiman Mukhtar United States

In Seok Yang

373 ×1.1

MB

82 ×0.5

GENET

51 ×0.5

PRM

163 ×1.9

ONCOL

44 ×0.7

CR

Citations per year, relative to In Seok Yang In Seok Yang (= 1×) peers Eiman Mukhtar

Countries citing papers authored by In Seok Yang

Since Specialization

Citations

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

Fields of papers citing papers by In Seok Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Seok Yang. 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 In Seok Yang. The network helps show where In Seok Yang may publish in the future.

Co-authorship network of co-authors of In Seok Yang

This figure shows the co-authorship network connecting the top 25 collaborators of In Seok Yang. A scholar is included among the top collaborators of In Seok Yang 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 In Seok Yang. In Seok Yang 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:

20 of 20 papers shown

1.

Yang, In Seok, Insu Jang, Jin Ok Yang, et al.. (2023). CanISO: a database of genomic and transcriptomic variations in domestic dog (Canis lupus familiaris). BMC Genomics. 24(1). 613–613. 1 indexed citations

2.

Yang, In Seok, Jueun Lee, T.H. Ha, et al.. (2022). 1H NMR based urinary metabolites profiling dataset of canine mammary tumors. Scientific Data. 9(1). 132–132. 6 indexed citations

3.

Yang, In Seok, et al.. (2021). Development of a program for in silico optimized selection of oligonucleotide-based molecular barcodes. PLoS ONE. 16(2). e0246354–e0246354. 1 indexed citations

4.

Kim, Tae‐Min, In Seok Yang, Sejoon Lee, et al.. (2020). Cross-species oncogenic signatures of breast cancer in canine mammary tumors. Nature Communications. 11(1). 3616–3616. 72 indexed citations

5.

Yang, In Seok & Sangwoo Kim. (2018). Isoform specific gene expression analysis of KRAS in the prognosis of lung adenocarcinoma patients. BMC Bioinformatics. 19(S1). 40–40. 14 indexed citations

6.

Lee, Choong‐kun, Jae Seok Lee, Jeong Eun Lee, et al.. (2017). Next-generation sequencing reveals novel resistance mechanisms and molecular heterogeneity in EGFR-mutant non-small cell lung cancer with acquired resistance to EGFR-TKIs. Lung Cancer. 113. 106–114. 48 indexed citations

7.

Lee, Eun Young, Hwan Young Lee, Sang-Eun Jung, et al.. (2016). Massively parallel sequencing of the entire control region and targeted coding region SNPs of degraded mtDNA using a simplified library preparation method. Forensic Science International Genetics. 22. 37–43. 10 indexed citations

8.

Yang, In Seok, Hyeonju Son, Sora Kim, & Sangwoo Kim. (2016). ISOexpresso: a web-based platform for isoform-level expression analysis in human cancer. BMC Genomics. 17(1). 631–631. 36 indexed citations

9.

Kim, Eun Hye, Hwan Young Lee, In Seok Yang, et al.. (2016). Massively parallel sequencing of 17 commonly used forensic autosomal STRs and amelogenin with small amplicons. Forensic Science International Genetics. 22. 1–7. 45 indexed citations

10.

Yang, In Seok & Sangwoo Kim. (2015). Analysis of Whole Transcriptome Sequencing Data: Workflow and Software. Genomics & Informatics. 13(4). 119–119. 47 indexed citations

11.

Yang, In Seok, Hwan Young Lee, Su Jeong Park, Woo Ick Yang, & Kyoung‐Jin Shin. (2013). Analysis of Kinship Index Distributions in Koreans Using Simulated Autosomal STR Profiles. Korean Journal of Legal Medicine. 37(2). 57–57. 5 indexed citations

12.

Kim, Eun Hye, Hwan Young Lee, In Seok Yang, Woo Ick Yang, & Kyoung‐Jin Shin. (2013). Population data for 30 insertion–deletion markers in a Korean population. International Journal of Legal Medicine. 128(1). 51–52. 15 indexed citations

13.

Yang, In Seok, Hwan Young Lee, Woo Ick Yang, & Kyoung‐Jin Shin. (2013). mtDNAprofiler: A Web Application for the Nomenclature and Comparison of Human Mitochondrial DNA Sequences,. Journal of Forensic Sciences. 58(4). 972–980. 20 indexed citations

14.

Yang, In Seok, Hwan Young Lee, Myung Jin Park, Woo Ick Yang, & Kyoung‐Jin Shin. (2012). Web-based Y-STR Database for Haplotype Frequency Estimation and Kinship Index Calculation. Korean Journal of Legal Medicine. 36(1). 45–45.

15.

Yang, In Seok, Hwan Young Lee, Myung Jin Park, Woo Ick Yang, & Kyoung‐Jin Shin. (2012). Web-based Y-STR Database for Haplotype Frequency Estimation and Kinship Index Calculation. Korean Journal of Legal Medicine. 36(1). 45–45.

16.

Yang, In Seok, et al.. (2010). Crystal structures of aprotinin and its complex with sucrose octasulfate reveal multiple modes of interactions with implications for heparin binding. Biochemical and Biophysical Research Communications. 397(3). 429–435. 5 indexed citations

17.

Rakha, Allah, Kyoung‐Jin Shin, Na Young Kim, et al.. (2010). Forensic and genetic characterization of mtDNA from Pathans of Pakistan. International Journal of Legal Medicine. 125(6). 841–848. 28 indexed citations

18.

Yang, In Seok, et al.. (2010). Epidemiologic Study of Human Influenza Virus Infection in South Korea from 1999 to 2007: Origin and Evolution of A/Fujian/411/2002-Like Strains. Journal of Clinical Microbiology. 48(6). 2177–2185. 13 indexed citations

19.

Lee, Jihye, et al.. (2006). Inhibition of Pathogenic Bacterial Adhesion by Acidic Polysaccharide from Green Tea (Camellia sinensis). Journal of Agricultural and Food Chemistry. 54(23). 8717–8723. 93 indexed citations

20.

Kim, Seung Hee, et al.. (1988). Treatment of a Case of Fulminant Hepatic Failure with Continuous Infusion of Prostandin PGE1. The Korean Journal of Internal Medicine. 3(2). 154–160. 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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