Chang Han
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology
Papers in
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- Liver physiology and pathology 8
-
- Cancer, Lipids, and Metabolism 7
- Co-authors
- Tong WuJing LengKyu LimGeorge K. MichalopoulosAnthony J. DemetrisJake DemetrisJames H. ShelhamerLihong Xu
- Journals
- Hepatology (7 papers)Cancer Research (6 papers)The FASEB Journal (5 papers)Journal of Biological Chemistry (3 papers)Molecular Cancer Therapeutics (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Chang Han
60 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 519
- Biochemistry 205
- Pharmacology 434
- Hepatology 203
- Oncology 469
Countries citing papers authored by Chang Han
This map shows the geographic impact of Chang Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Han more than expected).
Fields of papers citing papers by Chang Han
This network shows the impact of papers produced by Chang Han. 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 Han. The network helps show where Chang Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2019 | 20 | |
| 3 | 2019 | 14 | |
| 4 | 2018 | 146 | |
| 5 | 2014 | 25 | |
| 6 | 2014 | 49 | |
| 7 | 2013 | 45 | |
| 8 | 2013 | 136 | |
| 9 | 2011 | 56 | |
| 10 | 2011 | 9 | |
| 11 | 2011 | 170 | |
| 12 | 2011 | 23 | |
| 13 | 2010 | 97 | |
| 14 | 2010 | 30 | |
| 15 | 2009 | 153 | |
| 16 | 2009 | 20 | |
| 17 | 2008 | 83 | |
| 18 | Docosahexaenoic acid-induced apoptotic cell death is correlated with inhibition of β-catenin/wnt signaling pathway and Cox-2 in human pancreatic cancer cells | 2008 | 0 |
| 19 | 2003 | 58 | |
| 20 | 2002 | 56 |
About Chang Han
Chang Han is a scholar working on Hepatology, Cancer Research, Pharmacology, Biochemistry and Pharmacology, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (16 papers), Liver physiology and pathology (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer, Lipids, and Metabolism (7 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Cancer Research (519 citations), Biochemistry (205 citations), Pharmacology (434 citations), Hepatology (203 citations) and Oncology (469 citations). Chang Han has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Tong Wu, Tong Wu, Jing Leng, Kyu Lim, George K. Michalopoulos, Anthony J. Demetris, Jake Demetris, Tong Wu, James H. Shelhamer and Lihong Xu. Their work appears in journals such as Hepatology, Cancer Research, The FASEB Journal, Journal of Biological Chemistry and Molecular Cancer Therapeutics.
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.