Hogune Im

4.1k total citations
32 papers, 890 citations indexed

About

Hogune Im is a scholar working on Molecular Biology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hogune Im has authored 32 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hogune Im's work include Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (9 papers) and Genomics and Chromatin Dynamics (7 papers). Hogune Im is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (9 papers) and Genomics and Chromatin Dynamics (7 papers). Hogune Im collaborates with scholars based in United States, South Korea and Australia. Hogune Im's co-authors include M Snyder, Emery H. Bresnick, Kirby D. Johnson, Jeffrey A. Grass, Heather M. Christensen, Emery H. Bresnick, Paul A. Nuzzi, E. Camilla Forsberg, Karen M. Downs and Meghan E. Boyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Hogune Im

30 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hogune Im United States 13 776 102 85 70 61 32 890
Sven Fraterman Germany 11 973 1.3× 57 0.6× 121 1.4× 101 1.4× 84 1.4× 11 1.2k
Ehsan Nourbakhsh Australia 8 549 0.7× 76 0.7× 52 0.6× 36 0.5× 194 3.2× 10 666
Vladimir E. Belozerov United States 11 429 0.6× 53 0.5× 93 1.1× 88 1.3× 232 3.8× 11 697
David Clynes United Kingdom 14 973 1.3× 138 1.4× 137 1.6× 29 0.4× 93 1.5× 18 1.1k
Daniel P. Sejas United States 10 475 0.6× 48 0.5× 67 0.8× 146 2.1× 130 2.1× 10 641
Ashley R. Woodfin United States 13 1.1k 1.4× 146 1.4× 106 1.2× 60 0.9× 99 1.6× 18 1.2k
Andrey Tvardovskiy Germany 10 743 1.0× 171 1.7× 62 0.7× 14 0.2× 137 2.2× 15 858
Carrie Rakowski United States 7 787 1.0× 108 1.1× 83 1.0× 131 1.9× 61 1.0× 7 904
Anthea Newton Australia 8 344 0.4× 103 1.0× 87 1.0× 170 2.4× 26 0.4× 10 534
Henry R. Maun United States 14 535 0.7× 45 0.4× 116 1.4× 29 0.4× 28 0.5× 17 704

Countries citing papers authored by Hogune Im

Since Specialization
Citations

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

Fields of papers citing papers by Hogune Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hogune Im

This figure shows the co-authorship network connecting the top 25 collaborators of Hogune Im. A scholar is included among the top collaborators of Hogune Im 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 Hogune Im. Hogune Im 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
1.
Woo, Kyung Ah, Han‐Joon Kim, Jung Hwan Shin, et al.. (2024). Parkinson’s disease is associated with clonal hematopoiesis with TET2 mutation. npj Parkinson s Disease. 10(1). 168–168. 3 indexed citations
2.
Lee, Seungmin, Han‐Joon Kim, Kyung Ah Woo, et al.. (2024). Clonal hematopoiesis with DNMT3A mutations is associated with multiple system atrophy. Parkinsonism & Related Disorders. 128. 107145–107145. 2 indexed citations
3.
Lim, Yoojoo, Hogune Im, Jeong Mo Bae, et al.. (2019). Interpretation of EBV infection in pan-cancer genome considering viral life cycle: LiEB (Life cycle of Epstein-Barr virus). Scientific Reports. 9(1). 3465–3465. 10 indexed citations
4.
Im, Hogune, Varsha Rao, Kunju Sridhar, et al.. (2018). Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells. Leukemia & lymphoma. 59(12). 2952–2962. 9 indexed citations
5.
Churko, Jared M., Jaecheol Lee, Mohamed Ameen, et al.. (2017). Transcriptomic and epigenomic differences in human induced pluripotent stem cells generated from six reprogramming methods. Nature Biomedical Engineering. 1(10). 826–837. 38 indexed citations
6.
Im, Hogune, et al.. (2015). Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions. Journal of Visualized Experiments. e51872–e51872. 4 indexed citations
7.
Chen, Rui, Hogune Im, & M Snyder. (2015). Whole-Exome Enrichment with the Illumina TruSeq Exome Enrichment Platform. Cold Spring Harbor Protocols. 2015(7). pdb.prot084863–pdb.prot084863. 11 indexed citations
8.
Chen, Rui, Hogune Im, & M Snyder. (2015). Whole-Exome Enrichment with the Roche NimbleGen SeqCap EZ Exome Library SR Platform. Cold Spring Harbor Protocols. 2015(7). pdb.prot084855–pdb.prot084855. 10 indexed citations
9.
Kim, Hoguen, Seul‐Ki Jeong, Hyoung–Joo Lee, et al.. (2015). Integrated Proteomic and Genomic Analysis of Gastric Cancer Patient Tissues. Journal of Proteome Research. 14(12). 4995–5006. 6 indexed citations
10.
Chen, Rui, Hogune Im, & M Snyder. (2015). Whole-Exome Enrichment with the Agilent SureSelect Human All Exon Platform. Cold Spring Harbor Protocols. 2015(7). pdb.prot083659–pdb.prot083659. 40 indexed citations
11.
Im, Hogune, Varsha Rao, Kunju Sridhar, et al.. (2014). Transcriptomic Evaluation of CD34+ Marrow Cells from Myelodysplastic Syndrome (MDS) Patients. Blood. 124(21). 1894–1894. 1 indexed citations
12.
Taylor, Allen D., Qiaozhen Lu, Samir Hanash, et al.. (2013). Identification of Potential Glycan Cancer Markers with Sialic Acid Attached to Sialic Acid and Up-regulated Fucosylated Galactose Structures in Epidermal Growth Factor Receptor Secreted from A431 Cell Line. Molecular & Cellular Proteomics. 12(5). 1239–1249. 18 indexed citations
13.
Mias, George I., Rui Chen, Yan Zhang, et al.. (2013). Specific Plasma Autoantibody Reactivity in Myelodysplastic Syndromes. Scientific Reports. 3(1). 3311–3311. 7 indexed citations
14.
Cristofanilli, Massimo, Fredika M. Robertson, James M. Reuben, et al.. (2013). Genome Wide Proteomics of ERBB2 and EGFR and Other Oncogenic Pathways in Inflammatory Breast Cancer. Journal of Proteome Research. 12(6). 2805–2817. 36 indexed citations
15.
16.
Mok, Janine, Hogune Im, & M Snyder. (2009). Global identification of protein kinase substrates by protein microarray analysis. Nature Protocols. 4(12). 1820–1827. 45 indexed citations
17.
Bresnick, Emery H., Kirby D. Johnson, Shin‐Il Kim, & Hogune Im. (2006). Establishment and Regulation of Chromatin Domains: Mechanistic Insights from Studies of Hemoglobin Synthesis. Progress in nucleic acid research and molecular biology. 81. 435–471. 23 indexed citations
18.
Im, Hogune. (2005). A Study on the Characteristic of the Light in Louis I. Kahn's Architectural Space. Korean Institute of Interior Design Journal. 14(5). 114–122. 1 indexed citations
19.
Im, Hogune, Jeffrey A. Grass, Kirby D. Johnson, et al.. (2005). Chromatin domain activation via GATA-1 utilization of a small subset of dispersed GATA motifs within a broad chromosomal region. Proceedings of the National Academy of Sciences. 102(47). 17065–17070. 114 indexed citations
20.
Im, Hogune, Jeffrey A. Grass, Kirby D. Johnson, et al.. (2004). Measurement of Protein–DNA Interactions In Vivo by Chromatin Immunoprecipitation. Humana Press eBooks. 284. 129–146. 85 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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