Tingting Geng
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 17
- Immunology top 10%
- interferon and immune responses 10
- Molecular Biology top 10%
- RNA modifications and cancer 10
- Infectious Diseases top 10%
- Viral Infections and Vectors 5
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- Drug Transport and Resistance Mechanisms 12
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- Nutritional Studies and Diet 6
- Co-authors
- Qinghua ZhaoHuanqing GaoTao HuangLei ZhaoHugh S. TaylorShuai SuHui SunPenghua Wang
- Journals
- Nature Communications (2 papers)Nature Immunology (1 paper)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tingting Geng
93 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 351
- Pharmacology 166
- Immunology 281
- Molecular Biology 740
- Infectious Diseases 162
Countries citing papers authored by Tingting Geng
This map shows the geographic impact of Tingting Geng'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 Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Geng more than expected).
Fields of papers citing papers by Tingting Geng
This network shows the impact of papers produced by Tingting Geng. 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 Geng. The network helps show where Tingting Geng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tingting Geng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 6 | |
| 16 | 2018 | 94 | |
| 17 | FGFR2 gene polymorphisms are associated with breast cancer risk in the Han Chinese population. | 2015 | 36 |
| 18 | Polymorphisms and phenotypic analysis of cytochrome P450 3A4 in the Uygur population in northwest China. | 2015 | 21 |
| 19 | 2015 | 14 | |
| 20 | 2013 | 40 |
About Tingting Geng
Tingting Geng is a scholar working on Pharmacology, Cancer Research and Molecular Biology, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Drug Transport and Resistance Mechanisms (12 papers), interferon and immune responses (10 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (10 papers), Nutritional Studies and Diet (6 papers), MicroRNA in disease regulation (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Cancer Research (351 citations), Pharmacology (166 citations) and Immunology (281 citations). Tingting Geng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qinghua Zhao, Huanqing Gao, Tao Huang, Lei Zhao, Hugh S. Taylor, Shuai Su, Hui Sun, Penghua Wang, Muyang Li and Longli Kang. Their work appears in journals such as Nature Communications, Nature Immunology and The Journal of 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.