Jennifer E. Wang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
-
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Mitochondrial Function and Pathology 3
- RNA Research and Splicing 2
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- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 2
- Co-authors
- Yingfei Wang (15 shared papers)Weibo Luo (14 shared papers)Lei Bao (12 shared papers)Yan Chen (8 shared papers)Chao Xing (8 shared papers)Chenliang Wang (5 shared papers)Mi Zhou (6 shared papers)Ashwani Kumar (2 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Clinical Investigation (3 papers)Nature Communications (2 papers)PLoS ONE (2 papers)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesBelgiumIran
In The Last Decade
Jennifer E. Wang
19 papers receiving 647 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 336
- Molecular Biology 468
- Immunology 80
- Oncology 78
- Cellular and Molecular Neuroscience 41
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 | 2020 | 135 | |
| 2 | 2018 | 128 | |
| 3 | 2018 | 97 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 36 | |
| 6 | 2024 | 33 | |
| 7 | 2021 | 31 | |
| 8 | 2022 | 25 | |
| 9 | 2012 | 22 | |
| 10 | 2022 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2013 | 1 |
About Jennifer E. Wang
Jennifer E. Wang is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Immunology and Surgery, having authored 19 papers that have together received 649 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (336 citations), Molecular Biology (468 citations), Immunology (80 citations), Oncology (78 citations) and Cellular and Molecular Neuroscience (41 citations). Jennifer E. Wang has collaborated with scholars based in United States, Belgium and Iran. Frequent co-authors include Yingfei Wang, Weibo Luo, Lei Bao, Yan Chen, Chao Xing, Chenliang Wang, Mi Zhou, Ashwani Kumar, Ashwani Kumar and Yan-Ling Niu. Their work appears in journals such as Cancer Research, Journal of Clinical Investigation, Nature Communications, PLoS ONE and Molecular Cancer Research.
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.