Chang S. Chan
- Molecular Biology top 5%
- Epidemiology top 2%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Eileen WhiteJanice M. MehnertSaurabh V. LaddhaArnold J. LevineHua Zhu KeEvan H. BaughRichard BonneauJoshua D. Rabinowitz
- Topics
- Epigenetics and DNA Methylation (10 papers)Cancer-related Molecular Pathways (10 papers)Autophagy in Disease and Therapy (5 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Chang S. Chan
25 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.8k
- Epidemiology 1.3k
- Cancer Research 983
- Oncology 667
- Pulmonary and Respiratory Medicine 240
Countries citing papers authored by Chang S. Chan
This map shows the geographic impact of Chang S. Chan'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 S. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang S. Chan more than expected).
Fields of papers citing papers by Chang S. Chan
This network shows the impact of papers produced by Chang S. Chan. 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 S. Chan. The network helps show where Chang S. Chan may publish in the future.
Co-authorship network of co-authors of Chang S. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Chang S. Chan. A scholar is included among the top collaborators of Chang S. Chan 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 S. Chan. Chang S. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 78 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 50 | |
| 9 | 148 | |
| 10 | Why are there hotspot mutations in the TP53 gene in human cancers?breakdown → | 398 |
| 11 | 294 | |
| 12 | 36 | |
| 13 | 15 | |
| 14 | 104 | |
| 15 | Autophagy Is Required for Glucose Homeostasis and Lung Tumor Maintenancebreakdown → | 437 |
| 16 | 157 | |
| 17 | 252 | |
| 18 | 29 | |
| 19 | 70 | |
| 20 | Duality Cascade and Oblique Phases in Non-Commutative Open String Theory | 8 |
About Chang S. Chan
Chang S. Chan is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Cancer-related Molecular Pathways (10 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Cancer Research (983 citations), Physiology (184 citations) and Epidemiology (1.3k citations). Chang S. Chan has collaborated with scholars based in United States, France and China. Frequent co-authors include Eileen White, Janice M. Mehnert, Saurabh V. Laddha, Arnold J. Levine, Hua Zhu Ke, Evan H. Baugh, Richard Bonneau, Joshua D. Rabinowitz, Jessie Yanxiang Guo and Sinan Khor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.
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.