Chang‐Il Hwang

7.4k total citations
34 papers, 1.6k citations indexed

About

Chang‐Il Hwang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chang‐Il Hwang has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Chang‐Il Hwang's work include Pancreatic and Hepatic Oncology Research (11 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Cells and Metastasis (6 papers). Chang‐Il Hwang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Cells and Metastasis (6 papers). Chang‐Il Hwang collaborates with scholars based in United States, South Korea and United Kingdom. Chang‐Il Hwang's co-authors include Alexander Yu. Nikitin, Andrea Flesken‐Nikitin, Chieh-Yang Cheng, Grigori Enikolopov, Tatyana V. Michurina, David C. Corney, Heiko Hermeking, David A. Tuveson, Andrés Matoso and Woong‐Yang Park and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chang‐Il Hwang

33 papers receiving 1.5k citations

Peers

Chang‐Il Hwang

ONCOL

IMMUN

Johan R. Westphal Netherlands

Karen D. Cowden Dahl United States

Woondong Jeong United States

Tsz-Lun Yeung United States

Sharmila A. Bapat India

Anita Wolfer Switzerland

Ivraym B. Barsoum Canada

Arild Holth Norway

Junjie Gu China

Kazuhiro Kami Japan

Johan R. Westphal Netherlands

Chang‐Il Hwang

622 ×0.7

550 ×0.9

542 ×1.0

ONCOL

167 ×0.8

IMMUN

81 ×0.6

Citations per year, relative to Chang‐Il Hwang Chang‐Il Hwang (= 1×) peers Johan R. Westphal

Countries citing papers authored by Chang‐Il Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Chang‐Il Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Il Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Il Hwang. A scholar is included among the top collaborators of Chang‐Il 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 Chang‐Il Hwang. Chang‐Il 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

Kwak, Min Seob, Jae Myung, Chang Woo Kim, Kyu Yeoun Won, & Chang‐Il Hwang. (2025). Integrative multi-omics deciphers the potential mechanism and microbial biomarkers for lymph node metastasis in colorectal cancer. Scientific Reports. 15(1). 38611–38611.

Hwang, Chang‐Il, et al.. (2024). Epigenetic Landscape of DNA Methylation in Pancreatic Ductal Adenocarcinoma. Epigenomes. 8(4). 41–41. 1 indexed citations

Deng, Siwei, Martin Pook, Zahir Soonawalla, et al.. (2023). KMT2A associates with PHF5A-PHF14-HMG20A-RAI1 subcomplex in pancreatic cancer stem cells and epigenetically regulates their characteristics. Nature Communications. 14(1). 5685–5685. 11 indexed citations

Lee, Eunjung, Virneliz Fernández-Vega, Qi Tian, et al.. (2023). A new vulnerability to BET inhibition due to enhanced autophagy in BRCA2 deficient pancreatic cancer. Cell Death and Disease. 14(9). 620–620. 3 indexed citations

Kwak, Min Seob, et al.. (2023). Single-Cell Network-Based Drug Repositioning for Discovery of Therapies against Anti-Tumour Necrosis Factor-Resistant Crohn’s Disease. International Journal of Molecular Sciences. 24(18). 14099–14099. 5 indexed citations

Lanzi, Cecilia Rodríguez, Shuai Chen, Jon J. Ramsey, et al.. (2022). A Ketogenic Diet in Combination with Gemcitabine Increases Survival in Pancreatic Cancer KPC Mice. Cancer Research Communications. 2(9). 951–965. 14 indexed citations

Zhang, Dalin, et al.. (2022). SEMA3C Supports Pancreatic Cancer Progression by Regulating the Autophagy Process and Tumor Immune Microenvironment. Frontiers in Oncology. 12. 890154–890154. 14 indexed citations

Zhang, Liting, Gengqiang Xie, Hemant M. Kocher, et al.. (2022). Genomic heterogeneity in pancreatic cancer organoids and its stability with culture. npj Genomic Medicine. 7(1). 71–71. 22 indexed citations

Nielsen, Sebastian R., Edward R. Horton, René Jackstadt, et al.. (2021). Suppression of tumor-associated neutrophils by lorlatinib attenuates pancreatic cancer growth and improves treatment with immune checkpoint blockade. Nature Communications. 12(1). 3414–3414. 89 indexed citations

10.

Ponz‐Sarvisé, Mariano, Vincenzo Corbo, Hervé Tiriac, et al.. (2019). Identification of Resistance Pathways Specific to Malignancy Using Organoid Models of Pancreatic Cancer. Clinical Cancer Research. 25(22). 6742–6755. 41 indexed citations

11.

Cheng, Chieh-Yang, Chang‐Il Hwang, David C. Corney, et al.. (2014). miR-34 Cooperates with p53 in Suppression of Prostate Cancer by Joint Regulation of Stem Cell Compartment. Cell Reports. 6(6). 1000–1007. 82 indexed citations

12.

Gu, Xiaoling, Yogindra Vedvyas, Xiaoyue Chen, et al.. (2012). Novel Strategy for Selection of Monoclonal Antibodies Against Highly Conserved Antigens: Phage Library Panning Against Ephrin-B2 Displayed on Yeast. PLoS ONE. 7(1). e30680–e30680. 4 indexed citations

13.

Hwang, Chang‐Il, Jinhyang Choi, Zongxiang Zhou, et al.. (2011). MET-dependent cancer invasion may be preprogrammed by early alterations of p53-regulated feedforward loop and triggered by stromal cell-derived HGF. Cell Cycle. 10(22). 3834–3840. 20 indexed citations

14.

Corney, David C., Chang‐Il Hwang, Andrés Matoso, et al.. (2010). Frequent Downregulation of miR-34 Family in Human Ovarian Cancers. Clinical Cancer Research. 16(4). 1119–1128. 269 indexed citations

15.

Chung, Yoon Hee, et al.. (2006). Caveolin-1 upregulation in senescent neurons alters amyloid precursor protein processing. Experimental & Molecular Medicine. 38(2). 126–133. 58 indexed citations

16.

Kim, Sung‐Hoon, et al.. (2006). GADD153 mediates celecoxib-induced apoptosis in cervical cancer cells. Carcinogenesis. 28(1). 223–231. 37 indexed citations

17.

Kim, Ju Han, Il Soo Ha, Chang‐Il Hwang, et al.. (2004). Gene expression profiling of anti-GBM glomerulonephritis model: The role of NF-κB in immune complex kidney disease. Kidney International. 66(5). 1826–1837. 39 indexed citations

18.

Park, Kyungho, Chang‐Il Hwang, Woong‐Yang Park, et al.. (2003). Adenovirus-TRAIL can overcome TRAIL resistance and induce a bystander effect. Cancer Gene Therapy. 10(7). 540–548. 47 indexed citations

19.

Park, Woong‐Yang, Chang‐Il Hwang, Chang‐Nim Im, et al.. (2002). Identification of radiation-specific responses from gene expression profile. Oncogene. 21(55). 8521–8528. 97 indexed citations

20.

Park, Woong‐Yang, Chang‐Il Hwang, Jin Young Seo, et al.. (2001). Gene Profile of Replicative Senescence Is Different from Progeria or Elderly Donor. Biochemical and Biophysical Research Communications. 282(4). 934–939. 45 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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