Dai‐Wu Seol

3.4k total citations · 2 hit papers
39 papers, 2.9k citations indexed

About

Dai‐Wu Seol is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Dai‐Wu Seol has authored 39 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Dai‐Wu Seol's work include Cell death mechanisms and regulation (26 papers), RNA Interference and Gene Delivery (7 papers) and interferon and immune responses (5 papers). Dai‐Wu Seol is often cited by papers focused on Cell death mechanisms and regulation (26 papers), RNA Interference and Gene Delivery (7 papers) and interferon and immune responses (5 papers). Dai‐Wu Seol collaborates with scholars based in United States, South Korea and Canada. Dai‐Wu Seol's co-authors include Seon‐Yong Jeong, Timothy R. Billiar, Tae‐Hyoung Kim, Kenneth Dorko, Stephen C. Strom, Minji Jo, James E. Esplen, Sang‐Youel Park, Reza Zarnegar and Robert V. Talanian and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Molecular and Cellular Biology.

In The Last Decade

Dai‐Wu Seol

39 papers receiving 2.8k citations

Hit Papers

align trajectories

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.

Apoptosis induced in normal human hepatocytes by tumor necrosis factor-related apoptosis-inducing ligand

2000 705 citations Minji Jo, Tae‐Hyoung Kim et al. Nature Medicine profile →
The role of mitochondria in apoptosis

2008 613 citations Seon‐Yong Jeong, Dai‐Wu Seol BMB Reports profile →

Peers

Countries citing papers authored by Dai‐Wu Seol

Since Specialization

Citations

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

Fields of papers citing papers by Dai‐Wu Seol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai‐Wu Seol. 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 Dai‐Wu Seol. The network helps show where Dai‐Wu Seol may publish in the future.

Co-authorship network of co-authors of Dai‐Wu Seol

This figure shows the co-authorship network connecting the top 25 collaborators of Dai‐Wu Seol. A scholar is included among the top collaborators of Dai‐Wu Seol 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 Dai‐Wu Seol. Dai‐Wu Seol 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

#	Work	Indexed citations
1	TRAIL Therapy for Breast Cancer Treatment by Employing Lipopolymer mRNA Delivery 2022 ·Bindu Thapa, K Bahadur, Xin Liu, Wei Fu, Dai‐Wu Seol, Hasan Uludağ	3
2	Breathing New Life into TRAIL for Breast Cancer Therapy: Co-Delivery of pTRAIL and Complementary siRNAs Using Lipopolymers 2019 ·Human Gene Therapy ·Bindu Thapa, K Bahadur, (unknown), (unknown), Mary Hitt, Afsaneh Lavasanifar, Olaf Kutsch, Dai‐Wu Seol, Hasan Uludağ	14
3	Hypoxia protects articular chondrocytes from thapsigargin-induced apoptosis 2009 ·Biochemical and Biophysical Research Communications ·Atul A. Chaudhari, Jae‐Won Seol, (unknown), Dai‐Wu Seol, Sang‐Youel Park	15
4	The role of mitochondria in apoptosis breakdown → 2008 ·BMB Reports ·Seon‐Yong Jeong, Dai‐Wu Seol	613
5	Up-regulation of IAPs by PI-3K: A cell survival signal-mediated anti-apoptotic mechanism 2008 ·Biochemical and Biophysical Research Communications ·Dai‐Wu Seol	16
6	Improved purification of recombinant adenoviral vector by metal affinity membrane chromatography 2008 ·Biochemical and Biophysical Research Communications ·(unknown), (unknown), Dai‐Wu Seol	25
7	Blockade of processing/activation of caspase-3 by hypoxia 2008 ·Biochemical and Biophysical Research Communications ·(unknown), Moonil Kim, Kyoungsook Park, Tae‐Hyoung Kim, Dai‐Wu Seol	10
8	Detection of glucose-induced conformational change in hexokinase II using fluorescence complementation assay 2007 ·Biotechnology Letters ·Eunju Jeong, Kyoungsook Park, Hyou‐Arm Joung, Chang‐Soo Lee, Dai‐Wu Seol, Bong Hyun Chung, Moonil Kim	3
9	IFN‐γ enhances TRAIL‐induced apoptosis through IRF‐1 2004 ·European Journal of Biochemistry ·Sang‐Youel Park, Jae‐Won Seol, Youjin Lee, (unknown), Hyung‐Sub Kang, In‐Shik Kim, Soo‐Hyun Park, Tae‐Hyoung Kim, John H. Yim, Moonil Kim, Timothy R. Billiar, Dai‐Wu Seol	55
10	The secretable form of trimeric TRAIL, a potent inducer of apoptosis 2004 ·Biochemical and Biophysical Research Communications ·Mihyang Kim, Timothy R. Billiar, Dai‐Wu Seol	45
11	Regulation of Akt by EGF-R inhibitors, a possible mechanism of EGF-R inhibitor-enhanced TRAIL-induced apoptosis 2002 ·Biochemical and Biophysical Research Communications ·Sang‐Youel Park, Dai‐Wu Seol	49
12	IFN-γ Inhibition of TRAIL-Induced IAP-2 Upregulation, a Possible Mechanism of IFN-γ-Enhanced TRAIL-Induced Apoptosis 2002 ·Biochemical and Biophysical Research Communications ·Sang‐Youel Park, Timothy R. Billiar, Dai‐Wu Seol	36
13	Sodium nitroprusside enhances TRAIL-induced apoptosis via a mitochondria-dependent pathway in human colorectal carcinoma CX-1 cells 2001 ·Oncogene ·Yong J. Lee, (unknown), Hyeong-Reh Choi Kim, J. Milburn Jessup, Dai‐Wu Seol, Tae‐Hyoung Kim, Timothy R. Billiar, Young Song	56
14	Nitric oxide prevents p21 degradation with the ubiquitin-proteasome pathway in vascular smooth muscle cells 2000 ·Journal of Vascular Surgery ·Melina R. Kibbe, Suhua Nie, Dai‐Wu Seol, Imre Kovesdi, Alena Lizonová, Michel S. Makaroun, Timothy R. Billiar, Edith Tzeng	28
15	Transcriptional activation of the Hepatocyte Growth Factor receptor (c-met) gene by its ligand (Hepatocyte Growth Factor) is mediated through AP-1 2000 ·Oncogene ·Dai‐Wu Seol, Qiuyan Chen, Reza Zarnegar	67
16	Apoptosis induced in normal human hepatocytes by tumor necrosis factor-related apoptosis-inducing ligand breakdown → 2000 ·Nature Medicine ·Minji Jo, Tae‐Hyoung Kim, Dai‐Wu Seol, James E. Esplen, Kenneth Dorko, Timothy R. Billiar, Stephen C. Strom	705
17	Regulation of the c-met Proto-oncogene Promoter by p53 1999 ·Journal of Biological Chemistry ·Dai‐Wu Seol, Qiuyan Chen, Martin L. Smith, Reza Zarnegar	46
18	Nitric Oxide Suppression of Apoptosis Occurs in Association with an Inhibition of Bcl-2 Cleavage and Cytochrome cRelease 1998 ·Journal of Biological Chemistry ·Young‐Myeong Kim, Tae‐Hyoung Kim, Dai‐Wu Seol, Robert V. Talanian, Timothy R. Billiar	213
19	Structural and functional characterization of the mouse c-met proto-oncogene (hepatocyte growth factor receptor) promoter 1998 ·Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression ·Dai‐Wu Seol, Reza Zarnegar	20
20	Co-expression and regulation of Met and Ron proto-oncogenes in human hepatocellular carcinoma tissues and cell lines 1997 ·Hepatology ·(unknown), Dai‐Wu Seol, Brian I. Carr, Reza Zarnegar	84

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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