Do‐Hwan Lim

1.2k total citations
30 papers, 756 citations indexed

About

Do‐Hwan Lim is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Do‐Hwan Lim has authored 30 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Do‐Hwan Lim's work include RNA Research and Splicing (8 papers), RNA Interference and Gene Delivery (7 papers) and MicroRNA in disease regulation (7 papers). Do‐Hwan Lim is often cited by papers focused on RNA Research and Splicing (8 papers), RNA Interference and Gene Delivery (7 papers) and MicroRNA in disease regulation (7 papers). Do‐Hwan Lim collaborates with scholars based in South Korea, United States and China. Do‐Hwan Lim's co-authors include Young Sik Lee, Richard W. Carthew, Jee Yun Han, Xin Li, Sigal Pressman, Jamie White, Justin J. Cassidy, Kenji Nakahara, Jonathan Preall and Kevin Kim and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Do‐Hwan Lim

29 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do‐Hwan Lim South Korea 15 589 264 100 74 69 30 756
Natalia Martínez Spain 12 843 1.4× 310 1.2× 131 1.3× 47 0.6× 95 1.4× 14 963
Cindy Lim United States 11 874 1.5× 362 1.4× 247 2.5× 89 1.2× 57 0.8× 11 1.1k
Stephanie Y. Vernooy United States 5 1.0k 1.8× 613 2.3× 84 0.8× 67 0.9× 189 2.7× 7 1.3k
S. Mark Wainwright United Kingdom 10 548 0.9× 105 0.4× 52 0.5× 87 1.2× 73 1.1× 13 638
Toshimichi Yamada Japan 13 635 1.1× 137 0.5× 65 0.7× 67 0.9× 52 0.8× 16 758
Tibor Pankotai Hungary 17 895 1.5× 116 0.4× 86 0.9× 90 1.2× 51 0.7× 53 1.1k
Nicola Minshall United Kingdom 17 1.1k 1.8× 130 0.5× 74 0.7× 83 1.1× 46 0.7× 21 1.2k
Saverio Brogna United Kingdom 19 1.0k 1.8× 73 0.3× 105 1.1× 116 1.6× 69 1.0× 29 1.2k
Miklós Erdélyi Hungary 16 619 1.1× 61 0.2× 112 1.1× 92 1.2× 60 0.9× 30 854
Chloé S. Baron Netherlands 7 596 1.0× 132 0.5× 54 0.5× 49 0.7× 176 2.6× 11 784

Countries citing papers authored by Do‐Hwan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Do‐Hwan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do‐Hwan Lim. 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 Do‐Hwan Lim. The network helps show where Do‐Hwan Lim may publish in the future.

Co-authorship network of co-authors of Do‐Hwan Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Do‐Hwan Lim. A scholar is included among the top collaborators of Do‐Hwan Lim 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 Do‐Hwan Lim. Do‐Hwan Lim 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.
Kim, Seung-Chai, Jaehwan Kim, Young-Jun Seo, et al.. (2025). Single-cell transcriptomics of bronchoalveolar lavage during PRRSV infection with different virulence. Nature Communications. 16(1). 1112–1112. 6 indexed citations
2.
Liang, Zhengyu, Do‐Hwan Lim, Poshen B. Chen, et al.. (2024). RUNX1 C-terminal mutations impair blood cell differentiation by perturbing specific enhancer-promoter networks. Blood Advances. 8(10). 2410–2423. 1 indexed citations
3.
Lim, Do‐Hwan, et al.. (2024). Drosophila miR-263b-5p controls wing developmental growth by targeting Akt. Animal Cells and Systems. 29(1). 35–45.
4.
Lee, Sojeong, et al.. (2023). Ecdysone‐induced microRNA miR ‐276a‐3p controls developmental growth by targeting the insulin‐like receptor in Drosophila. Insect Molecular Biology. 32(6). 703–715. 7 indexed citations
6.
Kim, Hyun Ho, et al.. (2023). MicroRNA miR-263b-5p Regulates Developmental Growth and Cell Association by Suppressing Laminin A in Drosophila. Biology. 12(8). 1096–1096. 4 indexed citations
7.
Luo, H., Do‐Hwan Lim, Han Lu, et al.. (2021). Global profiling of RNA–chromatin interactions reveals co-regulatory gene expression networks in Arabidopsis. Nature Plants. 7(10). 1364–1378. 18 indexed citations
8.
Gou, Lan‐Tao, Do‐Hwan Lim, Wubin Ma, et al.. (2020). Initiation of Parental Genome Reprogramming in Fertilized Oocyte by Splicing Kinase SRPK1-Catalyzed Protamine Phosphorylation. Cell. 180(6). 1212–1227.e14. 63 indexed citations
9.
Lee, Seungjae, Jae-Sang Hong, Do‐Hwan Lim, & Young Sik Lee. (2020). Roles for Drosophila cap1 2′-O-ribose methyltransferase in the small RNA silencing pathway associated with Argonaute 2. Insect Biochemistry and Molecular Biology. 123. 103415–103415. 4 indexed citations
10.
Chen, Jiayu, Do‐Hwan Lim, & Xiang‐Dong Fu. (2019). Mechanistic Dissection of RNA-Binding Proteins in Regulated Gene Expression at Chromatin Levels. Cold Spring Harbor Symposia on Quantitative Biology. 84. 55–66. 6 indexed citations
11.
Zhou, Bing, Xiao Li, Daji Luo, et al.. (2019). GRID-seq for comprehensive analysis of global RNA–chromatin interactions. Nature Protocols. 14(7). 2036–2068. 33 indexed citations
12.
Lim, Ji Hyae, Jung Yeol Han, Jin Hoon Chung, et al.. (2015). Genome-wide microRNA expression profiling in placentas of fetuses with Down syndrome. Placenta. 36(3). 322–328. 26 indexed citations
13.
Lim, Do‐Hwan, Chun-Taek Oh, Sung‐Jun Han, & Young Sik Lee. (2014). Methods for Studying the Biological Consequences of Endo-siRNA Deficiency in Drosophila melanogaster. Methods in molecular biology. 1173. 51–58. 2 indexed citations
14.
Lim, Do‐Hwan, et al.. (2014). Global identification of target recognition and cleavage by the Microprocessor in human ES cells. Nucleic Acids Research. 42(20). 12806–12821. 28 indexed citations
15.
Joo, Jin Young, Jong‐Hwan Lee, Hae Young Ko, et al.. (2014). Microinjection free delivery of miRNA inhibitor into zygotes. Scientific Reports. 4(1). 5417–5417. 18 indexed citations
16.
Lim, Do‐Hwan, Jee Yun Han, Jae-Ryong Kim, Young Sik Lee, & Hwa-Young Kim. (2012). Methionine sulfoxide reductase B in the endoplasmic reticulum is critical for stress resistance and aging in Drosophila. Biochemical and Biophysical Research Communications. 419(1). 20–26. 40 indexed citations
17.
Lim, Do‐Hwan, et al.. (2012). Methionine sulfoxide reductase B3 protects from endoplasmic reticulum stress in Drosophila and in mammalian cells. Biochemical and Biophysical Research Communications. 420(1). 130–135. 14 indexed citations
18.
Kim, Jung, et al.. (2010). Cloning and characterization of microRNAs from porcine skeletal muscle and adipose tissue. Molecular Biology Reports. 37(7). 3567–3574. 33 indexed citations
19.
Lee, Young Sik, Sigal Pressman, Kevin Kim, et al.. (2009). Silencing by small RNAs is linked to endosomal trafficking. Nature Cell Biology. 11(9). 1150–1156. 276 indexed citations
20.
Lim, Do‐Hwan, Jung Kim, Sanguk Kim, Richard W. Carthew, & Young Sik Lee. (2008). Functional analysis of dicer-2 missense mutations in the siRNA pathway of Drosophila. Biochemical and Biophysical Research Communications. 371(3). 525–530. 24 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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