Yeongjun Jang

1.1k total citations
15 papers, 317 citations indexed

About

Yeongjun Jang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Yeongjun Jang has authored 15 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Computational Theory and Mathematics. Recurrent topics in Yeongjun Jang's work include Cancer Genomics and Diagnostics (6 papers), Bioinformatics and Genomic Networks (6 papers) and Single-cell and spatial transcriptomics (4 papers). Yeongjun Jang is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Bioinformatics and Genomic Networks (6 papers) and Single-cell and spatial transcriptomics (4 papers). Yeongjun Jang collaborates with scholars based in South Korea, United States and Italy. Yeongjun Jang's co-authors include Taejeong Bae, Kyoohyoung Rho, Sung‐Hoon Kim, Wankyu Kim, Jihae Seo, Sanghyuk Lee, Sun Kim, Ji Hyun Lee, Sanghyun Lee and Sangok Kim and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Yeongjun Jang

15 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yeongjun Jang South Korea	10	258	88	88	41	15	15	317
Sangsoo Lim South Korea	13	334 1.3×	151 1.7×	69 0.8×	20 0.5×	17 1.1×	26	481
Adib Shafi United States	8	317 1.2×	91 1.0×	43 0.5×	34 0.8×	10 0.7×	15	390
Simon J. Larsen Denmark	10	235 0.9×	63 0.7×	43 0.5×	51 1.2×	20 1.3×	12	387
Marilena M. Bourdakou Cyprus	10	201 0.8×	80 0.9×	30 0.3×	26 0.6×	27 1.8×	23	330
Sanath Kumar Ramesh United States	4	353 1.4×	64 0.7×	60 0.7×	46 1.1×	7 0.5×	8	453
Cristina Mitrea United States	11	342 1.3×	55 0.6×	66 0.8×	41 1.0×	7 0.5×	13	413
Zhenzhen Wang China	11	305 1.2×	34 0.4×	81 0.9×	16 0.4×	25 1.7×	16	397
Deborah K. Ngan United States	7	160 0.6×	89 1.0×	34 0.4×	17 0.4×	20 1.3×	14	324
Tatiana Serebryiskaya United States	5	164 0.6×	35 0.4×	44 0.5×	30 0.7×	11 0.7×	6	246
Máté Szalay-Bekő Hungary	5	252 1.0×	86 1.0×	32 0.4×	23 0.6×	19 1.3×	7	325

Countries citing papers authored by Yeongjun Jang

Since Specialization

Citations

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

Fields of papers citing papers by Yeongjun Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeongjun Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Yeongjun Jang. A scholar is included among the top collaborators of Yeongjun Jang 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 Yeongjun Jang. Yeongjun Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Kim, Jae-Won, et al.. (2024). Dissecting transcriptome signals of anti-PD-1 response in lung adenocarcinoma. Scientific Reports. 14(1). 21096–21096. 1 indexed citations

Panda, Arijit, Milovan Šuvakov, Jessica Mariani, et al.. (2023). Clonally Selected Lines After CRISPR-Cas Editing Are Not Isogenic. The CRISPR Journal. 6(2). 176–182. 4 indexed citations

Jang, Yeongjun, Liana Fasching, Taejeong Bae, et al.. (2023). Efficient reconstruction of cell lineage trees for cell ancestry and cancer. Nucleic Acids Research. 51(10). e57–e57. 1 indexed citations

Sarangi, Vivekananda, Yeongjun Jang, Milovan Šuvakov, et al.. (2022). All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons. PLoS Computational Biology. 18(4). e1009487–e1009487. 1 indexed citations

Argouarch, Andrea R., Nina Schultz, Andrew C. Yang, et al.. (2022). Postmortem Human Dura Mater Cells Exhibit Phenotypic, Transcriptomic and Genetic Abnormalities that Impact their Use for Disease Modeling. Stem Cell Reviews and Reports. 18(8). 3050–3065. 3 indexed citations

Fasching, Liana, Yeongjun Jang, Simone Tomasi, et al.. (2021). Early developmental asymmetries in cell lineage trees in living individuals. Science. 371(6535). 1245–1248. 35 indexed citations

Sekar, Shobana, Livia Tomasini, Christos Proukakis, et al.. (2020). Complex mosaic structural variations in human fetal brains. Genome Research. 30(12). 1695–1704. 19 indexed citations

Jang, Yeongjun, et al.. (2019). CaPSSA: visual evaluation of cancer biomarker genes for patient stratification and survival analysis using mutation and expression data. Bioinformatics. 35(24). 5341–5343. 11 indexed citations

Jang, Yeongjun, Jong-Ho Kim, Jihae Seo, et al.. (2018). An integrated clinical and genomic information system for cancer precision medicine. BMC Medical Genomics. 11(S2). 34–34. 10 indexed citations

10.

Jang, Yeongjun, Namhee Yu, Jihae Seo, Sun Kim, & Sanghyuk Lee. (2016). MONGKIE: an integrated tool for network analysis and visualization for multi-omics data. Biology Direct. 11(1). 10–10. 26 indexed citations

11.

Lee, Ji Hyun, Taejeong Bae, Kyoohyoung Rho, et al.. (2012). CDA: Combinatorial Drug Discovery Using Transcriptional Response Modules. PLoS ONE. 7(8). e42573–e42573. 58 indexed citations

12.

Bae, Taejeong, Jihyun Lee, Dae Gyu Kim, et al.. (2012). Rational drug repositioning guided by an integrated pharmacological network of protein, disease and drug. BMC Systems Biology. 6(1). 80–80. 65 indexed citations

13.

Seo, Jung-Woo, Kyoohyoung Rho, Yeongjun Jang, et al.. (2011). hiPathDB: a human-integrated pathway database with facile visualization. Nucleic Acids Research. 40(D1). D797–D802. 29 indexed citations

14.

Rho, Kyoohyoung, Bumjin Kim, Yeongjun Jang, et al.. (2011). GARNET – gene set analysis with exploration of annotation relations. BMC Bioinformatics. 12(S1). S25–S25. 10 indexed citations

15.

Cho, Seungho, Yukyung Jun, Sanghyun Lee, et al.. (2010). miRGator v2.0 : an integrated system for functional investigation of microRNAs. Nucleic Acids Research. 39(Database). D158–D162. 44 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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