Daehee Hwang

19.0k total citations · 6 hit papers
232 papers, 13.7k citations indexed

About

Daehee Hwang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Daehee Hwang has authored 232 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 34 papers in Cancer Research and 31 papers in Immunology. Recurrent topics in Daehee Hwang's work include Plant Molecular Biology Research (18 papers), RNA Research and Splicing (16 papers) and Advanced Proteomics Techniques and Applications (15 papers). Daehee Hwang is often cited by papers focused on Plant Molecular Biology Research (18 papers), RNA Research and Splicing (16 papers) and Advanced Proteomics Techniques and Applications (15 papers). Daehee Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Daehee Hwang's co-authors include Sungyong You, Do Young Hyeon, Sangchul Rho, Seung‐Jae Lee, He-Jin Lee, Eliezer Masliah, Jin Hee Kim, Jeongsik Kim, Jeongwoo Lee and George Stephanopoulos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daehee Hwang

227 papers receiving 13.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generation of T Follicular Helper Cells Is Mediated by Interleukin-21 but Independent of T Helper 1, 2, or 17 Cell Lineages

2008 957 citations Daehee Hwang et al. profile →
Direct Transfer of α-Synuclein from Neuron to Astroglia Causes Inflammatory Responses in Synucleinopathies

2010 680 citations Daehee Hwang et al. Journal of Biological Chemistry profile →
Neuron-released oligomeric α-synuclein is an endogenous agonist of TLR2 for paracrine activation of microglia

2013 650 citations Daehee Hwang et al. Nature Communications profile →
Trifurcate Feed-Forward Regulation of Age-Dependent Cell Death Involving miR164 in Arabidopsis

2009 589 citations Jin Hee Kim, Jin Hee Kim et al. profile →
EVpedia: an integrated database of high‐throughput data for systemic analyses of extracellular vesicles

2013 413 citations Byeongsoo Kang, Daehee Hwang et al. profile →
Single-cell multiomics: technologies and data analysis methods

2020 314 citations Do Young Hyeon, Daehee Hwang et al. Experimental & Molecular Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daehee Hwang	7.8k	2.1k	2.0k	1.8k	1.3k	232	13.7k
David Lyon	11.5k 1.5×	2.1k 1.0×	2.8k 1.4×	1.5k 0.8×	1.1k 0.8×	51	19.1k
Annika L. Gable	12.5k 1.6×	2.4k 1.2×	3.3k 1.6×	1.5k 0.8×	1.2k 0.9×	8	21.0k
Akira Hara	6.7k 0.9×	1.2k 0.6×	1.6k 0.8×	710 0.4×	1.0k 0.8×	786	16.0k
Lei Liu	5.4k 0.7×	1.5k 0.7×	996 0.5×	947 0.5×	944 0.7×	374	10.2k
Kevin G. Becker	10.8k 1.4×	2.4k 1.2×	3.4k 1.7×	571 0.3×	2.5k 1.9×	293	18.5k
Alberto Santos	10.2k 1.3×	1.5k 0.7×	2.8k 1.4×	1.1k 0.6×	960 0.7×	30	16.3k
Lili Wang	11.2k 1.4×	1.0k 0.5×	967 0.5×	1.1k 0.6×	2.4k 1.9×	525	19.0k
Alexander Junge	7.2k 0.9×	1.4k 0.7×	1.9k 0.9×	922 0.5×	690 0.5×	11	12.0k
Jin Yao	10.8k 1.4×	1.5k 0.7×	3.6k 1.8×	1.0k 0.6×	1.7k 1.3×	90	18.5k
Kyu‐Won Kim	5.8k 0.7×	933 0.5×	2.5k 1.2×	497 0.3×	686 0.5×	207	10.5k

Countries citing papers authored by Daehee Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Daehee Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehee Hwang

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

All Works

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20 of 20 papers shown

Lee, Somin, Hyun‐Kyung Kim, Sehyun Chae, et al.. (2024). Angiogenesis-on-a-chip coupled with single-cell RNA sequencing reveals spatially differential activations of autophagy along angiogenic sprouts. Nature Communications. 15(1). 230–230. 10 indexed citations

Nam, Soo Hyun, Gap‐Don Kim, Choonkyun Jung, et al.. (2024). Morc2a variants cause hydroxyl radical-mediated neuropathy and are rescued by restoring GHKL ATPase. Brain. 147(6). 2114–2127. 3 indexed citations

Park, Ji Hwan, Daehee Hwang, Tae Jun Park, et al.. (2023). ANT2 Accelerates Cutaneous Wound Healing in Aged Skin by Regulating Energy Homeostasis and Inflammation. Journal of Investigative Dermatology. 143(11). 2295–2310.e17. 11 indexed citations

Chae, Sehyun, Sujin Yim, Eun Gyeong Yang, et al.. (2022). Clioquinol as an inhibitor of JmjC-histone demethylase exhibits common and unique histone methylome and transcriptome between clioquinol and hypoxia. iScience. 25(7). 104517–104517. 1 indexed citations

Timilsina, Rupak, Yong Min Kim, Hyunsoo Park, et al.. (2022). ORESARA 15, a PLATZ transcription factor, controls root meristem size through auxin and cytokinin signalling-related pathways. Journal of Experimental Botany. 73(8). 2511–2524. 18 indexed citations

Seo, Eun-Joo, Jihyeon Yu, Hoyeun Kim, et al.. (2021). The two clock proteins CCA1 and LHY activate VIN3 transcription during vernalization through the vernalization-responsive cis-element. The Plant Cell. 34(3). 1020–1037. 30 indexed citations

Chae, Sehyun, Jihyun Moon, Hankyu Lee, et al.. (2020). Combination of PD-L1 and PVR determines sensitivity to PD-1 blockade. JCI Insight. 5(14). 32 indexed citations

Kim, Kyung Min, Jaeho Cho, Yu‐Mi Jeon, et al.. (2020). Cytosolic calcium regulates cytoplasmic accumulation of TDP-43 through Calpain-A and Importin α3. eLife. 9. 22 indexed citations

Hyeon, Do Young, et al.. (2019). Evolution of the multi-tRNA synthetase complex and its role in cancer. Journal of Biological Chemistry. 294(14). 5340–5351. 56 indexed citations

10.

Bagley, Joshua A., Do Young Hyeon, Yun Mi Lee, et al.. (2018). Coiled-coil structure-dependent interactions between polyQ proteins and Foxo lead to dendrite pathology and behavioral defects. Proceedings of the National Academy of Sciences. 115(45). E10748–E10757. 29 indexed citations

11.

Chae, Sehyun, Su‐jin Kim, Young Do Koo, et al.. (2018). A mitochondrial proteome profile indicative of type 2 diabetes mellitus in skeletal muscles. Experimental & Molecular Medicine. 50(9). 1–14. 31 indexed citations

12.

Han, Soeun, Hyunwoo Cho, Jiyan Qi, et al.. (2018). BIL1-mediated MP phosphorylation integrates PXY and cytokinin signalling in secondary growth. Nature Plants. 4(8). 605–614. 70 indexed citations

13.

Park, Min‐Chul, Hyobin Jeong, Taehee Kang, et al.. (2015). Novel Morphologic and Genetic Analysis of Cancer Cells in a 3D Microenvironment Identifies STAT3 as a Regulator of Tumor Permeability Barrier Function. Cancer Research. 76(5). 1044–1054. 18 indexed citations

14.

Park, Jiwon, Hyobin Jeong, Byeongsoo Kang, et al.. (2015). Multi-dimensional TOF-SIMS analysis for effective profiling of disease-related ions from the tissue surface. Scientific Reports. 5(1). 11077–11077. 14 indexed citations

15.

Kim, Jayoung, Dolores Di Vizio, Taek‐Kyun Kim, et al.. (2012). Correction: The Response of the Prostate to Circulating Cholesterol: Activating Transcription Factor 3 (ATF3) as a Prominent Node in a Cholesterol-Sensing Network. PLoS ONE. 7(8). 1 indexed citations

16.

Jeong, Jae Hoon, et al.. (2011). Shot-gun proteomic analysis of mitochondrial D-loopDNA bindingproteins: identification of mitochondrial histones. Molecular BioSystems. 7(5). 1523–1536. 56 indexed citations

17.

Hyung, Seok‐Won, Min Young Lee, Jong Moon Park, et al.. (2011). A Serum Protein Profile Predictive of the Resistance to Neoadjuvant Chemotherapy in Advanced Breast Cancers. Molecular & Cellular Proteomics. 10(10). M111.011023–M111.011023. 37 indexed citations

18.

Hwang, Daehee, Jennifer J. Smith, Deena M. Leslie Pedrioli, et al.. (2005). A data integration methodology for systems biology: Experimental verification. Proceedings of the National Academy of Sciences. 102(48). 17302–17307. 92 indexed citations

19.

Hwang, Daehee, Alistair G. Rust, Stephen A. Ramsey, et al.. (2005). A data integration methodology for systems biology. Proceedings of the National Academy of Sciences. 102(48). 17296–17301. 254 indexed citations

20.

Hwang, Daehee, TaeJin Ahn, & Chonghun Han. (1997). Process Operation Improvement Methodology based on Statistical Data Analysis. 제어로봇시스템학회 국내학술대회 논문집. 2. 1516–1519.

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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