Xin Teng
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
Papers in
- Aging 1
- Co-authors
- Joshua D. RabinowitzEileen WhiteJessie Yanxiang GuoGregory D. CunyAlexei DegterevWenyun LuJunying YuanJonathan M. Ghergurovich
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)ACS Chemical Biology (2 papers)Genes & Development (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Xin Teng
33 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 1.4k
- Molecular Biology 3.7k
- Physiology 215
- Immunology 945
- Epidemiology 1.4k
Countries citing papers authored by Xin Teng
This map shows the geographic impact of Xin Teng'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 Xin Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Teng more than expected).
Fields of papers citing papers by Xin Teng
This network shows the impact of papers produced by Xin Teng. 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 Xin Teng. The network helps show where Xin Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Teng, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 169 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 10 | |
| 9 | Glucose feeds the TCA cycle via circulating lactate Hit paper breakdown → | 2017 | 1233 |
| 10 | 2017 | 36 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 294 | |
| 13 | 2016 | 21 | |
| 14 | 2016 | 323 | |
| 15 | Autophagy Is Required for Glucose Homeostasis and Lung Tumor Maintenance Hit paper breakdown → | 2014 | 437 |
| 16 | 2013 | 62 | |
| 17 | 2013 | 4 | |
| 18 | 2008 | 25 | |
| 19 | Identification of RIP1 kinase as a specific cellular target of necrostatins Hit paper breakdown → | 2008 | 1603 |
| 20 | 2007 | 41 |
About Xin Teng
Xin Teng is a scholar working on Aging, Neurology, Clinical Biochemistry, Cancer Research and Molecular Biology, having authored 34 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Metabolism and Genetic Disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (3.7k citations), Physiology (215 citations), Immunology (945 citations) and Epidemiology (1.4k citations). Xin Teng has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Joshua D. Rabinowitz, Eileen White, Jessie Yanxiang Guo, Gregory D. Cuny, Alexei Degterev, Wenyun Lu, Junying Yuan, Jonathan M. Ghergurovich, Raphael J. Morscher and Scott A. Gerber. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Chemical Biology, Genes & Development, Analytical and Bioanalytical Chemistry and Scientific Reports.
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.