Junha Shin

1.5k total citations
24 papers, 661 citations indexed

About

Junha Shin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Junha Shin has authored 24 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Junha Shin's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (6 papers) and Genomics and Phylogenetic Studies (5 papers). Junha Shin is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (6 papers) and Genomics and Phylogenetic Studies (5 papers). Junha Shin collaborates with scholars based in United States, South Korea and Taiwan. Junha Shin's co-authors include Insuk Lee, Jung Eun Shim, Sohyun Hwang, Hyojin Kim, Hanhae Kim, Hongseok Shim, Tak Lee, Eiru Kim, Sunmo Yang and Chanyoung Kim and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Junha Shin

22 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junha Shin United States 14 485 155 132 43 29 24 661
Himanshu Sinha India 15 740 1.5× 234 1.5× 377 2.9× 25 0.6× 4 0.1× 33 1.0k
Christian E. V. Storm Sweden 5 930 1.9× 227 1.5× 249 1.9× 25 0.6× 16 0.6× 5 1.1k
Jiří Vohradský Czechia 14 606 1.2× 38 0.2× 165 1.3× 17 0.4× 3 0.1× 27 727
Т. М. Хлебодарова Russia 16 297 0.6× 46 0.3× 277 2.1× 9 0.2× 3 0.1× 80 735
Weihong Hsing United States 6 874 1.8× 133 0.9× 479 3.6× 52 1.2× 2 0.1× 9 1.1k
Andreas Rechtsteiner United States 18 866 1.8× 218 1.4× 115 0.9× 28 0.7× 13 0.4× 35 1.1k
Araceli M. Huerta Mexico 10 876 1.8× 35 0.2× 476 3.6× 16 0.4× 7 0.2× 11 971
Marcel Tigges Switzerland 12 824 1.7× 100 0.6× 168 1.3× 40 0.9× 1 0.0× 12 1.0k
Mengqing Wang China 13 163 0.3× 102 0.7× 46 0.3× 30 0.7× 38 1.3× 49 507
Dianna G. Fisk United States 6 1.0k 2.1× 190 1.2× 87 0.7× 12 0.3× 5 0.2× 8 1.1k

Countries citing papers authored by Junha Shin

Since Specialization
Citations

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

Fields of papers citing papers by Junha Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junha Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Junha Shin. A scholar is included among the top collaborators of Junha Shin 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 Junha Shin. Junha Shin 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
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McCalla, Sunnie Grace, Alireza Fotuhi Siahpirani, Jiaxin Li, et al.. (2023). Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data. G3 Genes Genomes Genetics. 13(3). 22 indexed citations
4.
Baur, Brittany, Junha Shin, Jacob Schreiber, et al.. (2023). Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation. PLoS Computational Biology. 19(7). e1011286–e1011286. 1 indexed citations
5.
Iyer, Nisha, et al.. (2022). Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns. Science Advances. 8(39). eabn7430–eabn7430. 11 indexed citations
6.
Wu, Yuchang, Junha Shin, Ye Zheng, et al.. (2021). Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. PLoS Genetics. 17(2). e1009309–e1009309. 11 indexed citations
7.
Baur, Brittany, Junha Shin, Shilu Zhang, & Sushmita Roy. (2020). Data integration for inferring context-specific gene regulatory networks. Current Opinion in Systems Biology. 23. 38–46. 6 indexed citations
8.
Li, Meng, Junha Shin, Ryan D. Risgaard, et al.. (2020). Identification of FMR1-regulated molecular networks in human neurodevelopment. Genome Research. 30(3). 361–374. 42 indexed citations
9.
Shim, Jung Eun, Ji Hyun Kim, Junha Shin, Ji Eun Lee, & Insuk Lee. (2019). Pathway-specific protein domains are predictive for human diseases. PLoS Computational Biology. 15(5). e1007052–e1007052. 8 indexed citations
10.
Shin, Junha & Insuk Lee. (2016). Construction of Functional Gene Networks Using Phylogenetic Profiles. Methods in molecular biology. 1526. 87–98. 10 indexed citations
11.
Lee, Tak, Taeyun Oh, Sunmo Yang, et al.. (2015). RiceNet v2: an improved network prioritization server for rice genes. Nucleic Acids Research. 43(W1). W122–W127. 61 indexed citations
12.
Kim, Hanhae, Kwang‐Woo Jung, Shinae Maeng, et al.. (2015). Network-assisted genetic dissection of pathogenicity and drug resistance in the opportunistic human pathogenic fungus Cryptococcus neoformans. Scientific Reports. 5(1). 8767–8767. 24 indexed citations
13.
Shin, Junha, Sunmo Yang, Eiru Kim, et al.. (2015). FlyNet: a versatile network prioritization server for theDrosophilacommunity. Nucleic Acids Research. 43(W1). W91–W97. 13 indexed citations
14.
Shin, Junha & Insuk Lee. (2015). Co-Inheritance Analysis within the Domains of Life Substantially Improves Network Inference by Phylogenetic Profiling. PLoS ONE. 10(9). e0139006–e0139006. 21 indexed citations
15.
Cho, A‐Ra, Junha Shin, Sohyun Hwang, et al.. (2014). WormNet v3: a network-assisted hypothesis-generating server for Caenorhabditis elegans. Nucleic Acids Research. 42(W1). W76–W82. 45 indexed citations
16.
Lee, Tak, Sunmo Yang, Eiru Kim, et al.. (2014). AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species. Nucleic Acids Research. 43(D1). D996–D1002. 128 indexed citations
17.
Shin, Junha, Tak Lee, Hanhae Kim, & Insuk Lee. (2013). Complementarity between distance- and probability-based methods of gene neighbourhood identification for pathway reconstruction. Molecular BioSystems. 10(1). 24–29. 20 indexed citations
18.
Kim, Hanhae, Junha Shin, Eiru Kim, et al.. (2013). YeastNet v3: a public database of data-specific and integrated functional gene networks forSaccharomyces cerevisiae. Nucleic Acids Research. 42(D1). D731–D736. 59 indexed citations
19.
Lee, Insuk, Ben Lehner, Tanya Vavouri, et al.. (2010). Predicting genetic modifier loci using functional gene networks. Genome Research. 20(8). 1143–1153. 63 indexed citations
20.
Guo, Yue Leon, et al.. (2003). Hematological effects of Blastocystis hominis infection in male foreign workers in Taiwan. Parasitology Research. 90(1). 48–51. 31 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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