Hui‐Hui Tu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Tuberculosis Research and Epidemiology
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 3
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- Pneumonia and Respiratory Infections 2
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Mycobacterium research and diagnosis 2
- Co-authors
- Ji‐Cheng Li (14 shared papers)Changming Liu (11 shared papers)Su Yang (8 shared papers)Liying Shi (9 shared papers)Tingting Jiang (8 shared papers)Yuting Hu (7 shared papers)Liliang Wei (7 shared papers)Nan Tao (3 shared papers)
- Journals
- The Anatomical Record (4 papers)Tuberculosis (2 papers)PLoS ONE (2 papers)Environmental Microbiology (2 papers)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaUnited StatesUkraine
In The Last Decade
Hui‐Hui Tu
20 papers receiving 416 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 93
- Infectious Diseases 88
- Complementary and alternative medicine 27
- Molecular Biology 190
- Epidemiology 67
Countries citing papers authored by Hui‐Hui Tu
This map shows the geographic impact of Hui‐Hui Tu'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 Hui‐Hui Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Hui Tu more than expected).
Fields of papers citing papers by Hui‐Hui Tu
This network shows the impact of papers produced by Hui‐Hui Tu. 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 Hui‐Hui Tu. The network helps show where Hui‐Hui Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui‐Hui Tu, 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 | 47 | |
| 2 | 2017 | 47 | |
| 3 | 2010 | 39 | |
| 4 | 2017 | 39 | |
| 5 | 2010 | 37 | |
| 6 | 2017 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 21 | |
| 9 | 2010 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 18 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 1 |
About Hui‐Hui Tu
Hui‐Hui Tu is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Cancer Research and Physiology, having authored 21 papers that have together received 416 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Pneumonia and Respiratory Infections (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Cancer Research (93 citations), Infectious Diseases (88 citations), Complementary and alternative medicine (27 citations), Molecular Biology (190 citations) and Epidemiology (67 citations). Hui‐Hui Tu has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Ji‐Cheng Li, Changming Liu, Su Yang, Liying Shi, Tingting Jiang, Yuting Hu, Liliang Wei, Nan Tao, Ke‐Qin Zhang and Cheng‐Gang Zou. Their work appears in journals such as The Anatomical Record, Tuberculosis, PLoS ONE, Environmental Microbiology and Emerging Microbes & Infections.
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.