Teng Ji
Impact in
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- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
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- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 3
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Cancer Mechanisms and Therapy 3
- Co-authors
- Qinglei Gao (12 shared papers)Ding Ma (9 shared papers)Zhiqiang Han (5 shared papers)Jianfeng Zhou (7 shared papers)Shixuan Wang (3 shared papers)Wencheng Ding (6 shared papers)Hai‐Ying Shen (3 shared papers)Wei Xiao (6 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Immunology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Clinical Cancer Research (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Teng Ji
29 papers receiving 655 citations
Peers
Comparison fields: 5 of 82
- Oncology 168
- Cancer Research 80
- Neurology 73
- Reproductive Medicine 36
- Molecular Biology 303
Countries citing papers authored by Teng Ji
This map shows the geographic impact of Teng Ji'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 Teng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Ji more than expected).
Fields of papers citing papers by Teng Ji
This network shows the impact of papers produced by Teng Ji. 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 Teng Ji. The network helps show where Teng Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Teng Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 72 | |
| 2 | 2021 | 70 | |
| 3 | 2013 | 64 | |
| 4 | 2011 | 62 | |
| 5 | 2014 | 45 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 33 | |
| 9 | 2017 | 24 | |
| 10 | 2011 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2013 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2008 | 12 | |
| 19 | 2024 | 11 | |
| 20 | Sterol metabolism XXXVI. Hydroxy- cholesterol esters of the human aorta. | 1975 | 11 |
About Teng Ji
Teng Ji is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Neurology and Oncology, having authored 29 papers that have together received 664 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (3 papers), Epigenetics and DNA Methylation (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Virus-based gene therapy research (3 papers), Cellular Mechanics and Interactions (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (168 citations), Cancer Research (80 citations), Neurology (73 citations), Reproductive Medicine (36 citations) and Molecular Biology (303 citations). Teng Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinglei Gao, Ding Ma, Zhiqiang Han, Jianfeng Zhou, Shixuan Wang, Wencheng Ding, Hai‐Ying Shen, Wei Xiao, Suyue Pan and Shujie Liao. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Biochemical and Biophysical Research Communications, Clinical Cancer Research and Gene.
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.