Jennifer E. Wang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
Papers in
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- Cancer, Hypoxia, and Metabolism 3
- Cancer-related molecular mechanisms research 2
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- Neurobiology and Insect Physiology Research 1
- Co-authors
- Weibo Luo (14 shared papers)Lei Bao (12 shared papers)Yingfei Wang (14 shared papers)Yan Chen (7 shared papers)Chao Xing (8 shared papers)Chenliang Wang (4 shared papers)Ashwani Kumar (3 shared papers)Mi Zhou (5 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Clinical Investigation (3 papers)Nature Communications (2 papers)Nucleic Acids Research (1 paper)Molecular Immunology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jennifer E. Wang
19 papers receiving 1.1k citations
Jennifer E. Wang's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 211
- Molecular Biology 235
- Immunology 66
- Oncology 57
- Neurology 34
Countries citing papers authored by Jennifer E. Wang
This map shows the geographic impact of Jennifer E. Wang'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 Jennifer E. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. Wang more than expected).
Fields of papers citing papers by Jennifer E. Wang
This network shows the impact of papers produced by Jennifer E. Wang. 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 Jennifer E. Wang. The network helps show where Jennifer E. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer E. Wang, 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 | A nuclease that mediates cell death induced by DNA damage and poly(ADP-ribose) polymerase-1 Hit paper breakdown → | 2016 | 343 |
| 2 | 2018 | 141 | |
| 3 | 2020 | 139 | |
| 4 | 2018 | 103 | |
| 5 | 2020 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2024 | 46 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 29 | |
| 10 | 2012 | 27 | |
| 11 | 2022 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2013 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2012 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 5 |
About Jennifer E. Wang
Jennifer E. Wang is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Immunology, Molecular Biology and Neurology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related molecular mechanisms research (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Mitochondrial Function and Pathology (1 paper), Neurobiology and Insect Physiology Research (1 paper), Macrophage Migration Inhibitory Factor (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Cancer Research (211 citations), Molecular Biology (235 citations), Immunology (66 citations), Oncology (57 citations) and Neurology (34 citations). Jennifer E. Wang has collaborated with scholars based in United States and China. Frequent co-authors include Weibo Luo, Lei Bao, Yingfei Wang, Yan Chen, Chao Xing, Chenliang Wang, Ashwani Kumar, Mi Zhou, A G Vijay Kumar and Yan-Ling Niu. Their work appears in journals such as Cancer Research, Journal of Clinical Investigation, Nature Communications, Nucleic Acids Research and Molecular Immunology.
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.