Lishi Chen
Impact in
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- Cancer, Hypoxia, and Metabolism
- NF-κB Signaling Pathways
- Cancer, Lipids, and Metabolism
- Neurology top 10%
- Neuroblastoma Research and Treatments
Papers in
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- Cancer therapeutics and mechanisms 2
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- Neuroblastoma Research and Treatments 5
- Co-authors
- William L. Gerald (6 shared papers)Jaume Mora (5 shared papers)Nai‐Kong V. Cheung (5 shared papers)Liying Zhang (2 shared papers)Jing Qin (2 shared papers)Howard I. Scher (1 shared paper)Fang‐Ming Deng (1 shared paper)Ruslan Korets (1 shared paper)
- Journals
- Cancer (1 paper)Journal of the Energy Institute (1 paper)Therapeutic Innovation & Regulatory Science (1 paper)Analytical Biochemistry (1 paper)Fuel (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lishi Chen
14 papers receiving 366 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 137
- Neurology 123
- Fuel Technology 6
- Molecular Biology 199
- Pulmonary and Respiratory Medicine 90
Countries citing papers authored by Lishi Chen
This map shows the geographic impact of Lishi Chen'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 Lishi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lishi Chen more than expected).
Fields of papers citing papers by Lishi Chen
This network shows the impact of papers produced by Lishi Chen. 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 Lishi Chen. The network helps show where Lishi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lishi Chen, 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 | 2009 | 158 | |
| 2 | Genome-wide analysis of gene expression associated with MYCN in human neuroblastoma. | 2003 | 66 |
| 3 | 2000 | 42 | |
| 4 | 2001 | 21 | |
| 5 | Novel regions of allelic imbalance identified by genome-wide analysis of neuroblastoma. | 2002 | 18 |
| 6 | 2022 | 14 | |
| 7 | 2011 | 12 | |
| 8 | 2000 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2019 | 0 | |
| 18 | 2020 | 0 |
About Lishi Chen
Lishi Chen is a scholar working on Molecular Biology, Neurology, Pulmonary and Respiratory Medicine, Cancer Research and Plant Science, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (5 papers), Phytochemistry and Biological Activities (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer therapeutics and mechanisms (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Coal Properties and Utilization (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper) and Oral and gingival health research (1 paper). The work is most often cited by research in Cancer Research (137 citations), Neurology (123 citations), Fuel Technology (6 citations), Molecular Biology (199 citations) and Pulmonary and Respiratory Medicine (90 citations). Lishi Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include William L. Gerald, Jaume Mora, Nai‐Kong V. Cheung, Liying Zhang, Jing Qin, Howard I. Scher, Fang‐Ming Deng, Ruslan Korets, Saleh Altuwaijri and Umesh Bhanot. Their work appears in journals such as Cancer, Journal of the Energy Institute, Therapeutic Innovation & Regulatory Science, Analytical Biochemistry and Fuel.
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.