Tingting He
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 30
- Gut microbiota and health 18
- Machine Learning in Bioinformatics 17
- Gene expression and cancer classification 16
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- Topic Modeling 21
- Advanced Text Analysis Techniques 14
- Natural Language Processing Techniques 13
- Co-authors
- Xingpeng Jiang (54 shared papers)Guo‐Yuan Yang (9 shared papers)Yaohui Tang (7 shared papers)Yaying Song (6 shared papers)Zongwei Li (3 shared papers)Xiaohua Hu (37 shared papers)Yongting Wang (5 shared papers)Zhijun Zhang (5 shared papers)
- Journals
- Methods (6 papers)IEEE Transactions on NanoBioscience (5 papers)BMC Bioinformatics (5 papers)PLoS ONE (4 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Tingting He
196 papers receiving 3.0k citations
Tingting He's Hit Papers
Peers
Comparison fields: 5 of 178
- Neurology 371
- Cancer Research 302
- Pharmacology 181
- Molecular Biology 1.4k
- Developmental Neuroscience 53
Countries citing papers authored by Tingting He
This map shows the geographic impact of Tingting He'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 Tingting He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting He more than expected).
Fields of papers citing papers by Tingting He
This network shows the impact of papers produced by Tingting He. 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 Tingting He. The network helps show where Tingting He may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingting He, 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | M2 microglia-derived exosomes protect the mouse brain from ischemia-reperfusion injury via exosomal miR-124 Hit paper breakdown → | 2019 | 390 |
| 2 | 2020 | 153 | |
| 3 | 2019 | 115 | |
| 4 | 2022 | 114 | |
| 5 | 2015 | 84 | |
| 6 | 2020 | 84 | |
| 7 | 2011 | 83 | |
| 8 | 2020 | 66 | |
| 9 | 2014 | 62 | |
| 10 | 2015 | 59 | |
| 11 | 2017 | 58 | |
| 12 | 2016 | 52 | |
| 13 | 2020 | 50 | |
| 14 | 2020 | 49 | |
| 15 | 2022 | 44 | |
| 16 | 2016 | 42 | |
| 17 | 2018 | 39 | |
| 18 | 2017 | 38 | |
| 19 | 2012 | 37 | |
| 20 | 2021 | 37 |
About Tingting He
Tingting He is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 219 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Topic Modeling (21 papers), Gut microbiota and health (18 papers), Machine Learning in Bioinformatics (17 papers), Computational Drug Discovery Methods (17 papers), Gene expression and cancer classification (16 papers), Advanced Text Analysis Techniques (14 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Neurology (371 citations), Cancer Research (302 citations), Pharmacology (181 citations), Molecular Biology (1.4k citations) and Developmental Neuroscience (53 citations). Tingting He has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xingpeng Jiang, Guo‐Yuan Yang, Yaohui Tang, Yaying Song, Zongwei Li, Xiaohua Hu, Yongting Wang, Zhijun Zhang, Wanlu Li and Shouping Yang. Their work appears in journals such as Methods, IEEE Transactions on NanoBioscience, BMC Bioinformatics, PLoS ONE and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.