Tianjun Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Cancer-related molecular mechanisms research 6
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- Neurological Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Parkinson's Disease Mechanisms and Treatments 1
- Co-authors
- Wei Jin (7 shared papers)Mingyue Fan (5 shared papers)Yanhong Dong (4 shared papers)Lizhou Sun (5 shared papers)Shiyun Huang (4 shared papers)Qing Zuo (4 shared papers)Yetao Xu (3 shared papers)Wei De (1 shared paper)
- Journals
- Medicine (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Cancer Science (1 paper)Pregnancy Hypertension (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Tianjun Wang
20 papers receiving 407 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 152
- Obstetrics and Gynecology 66
- Neurology 71
- Developmental Neuroscience 17
- Molecular Biology 195
Countries citing papers authored by Tianjun Wang
This map shows the geographic impact of Tianjun 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 Tianjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianjun Wang more than expected).
Fields of papers citing papers by Tianjun Wang
This network shows the impact of papers produced by Tianjun 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 Tianjun Wang. The network helps show where Tianjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianjun 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2014 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2012 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Tianjun Wang
Tianjun Wang is a scholar working on Cancer Research, Neurology, Molecular Biology, Neurology and Obstetrics and Gynecology, having authored 21 papers that have together received 414 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Pregnancy and preeclampsia studies (2 papers), Lipid metabolism and biosynthesis (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Cancer Research (152 citations), Obstetrics and Gynecology (66 citations), Neurology (71 citations), Developmental Neuroscience (17 citations) and Molecular Biology (195 citations). Tianjun Wang has collaborated with scholars based in China and United States. Frequent co-authors include Wei Jin, Mingyue Fan, Yanhong Dong, Lizhou Sun, Shiyun Huang, Qing Zuo, Yetao Xu, Wei De, Juan Wei and Yongqian Shu. Their work appears in journals such as Medicine, Molecular Therapy — Nucleic Acids, Cancer Science, Pregnancy Hypertension and Evidence-based Complementary and Alternative Medicine.
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.