Mengting Gu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cellular Mechanics and Interactions
Papers in
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- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Mark Gerstein (7 shared papers)Donghoon Lee (4 shared papers)Jing Zhang (2 shared papers)Matthew Meyerson (2 shared papers)Stefania Nicoli (2 shared papers)Dionna M. Kasper (2 shared papers)Fábio C. P. Navarro (1 shared paper)Mario Dejung (1 shared paper)
- Journals
- Abdominal Radiology (2 papers)Genome Research (2 papers)Cancer Imaging (1 paper)Brain Research (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Mengting Gu
17 papers receiving 234 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 49
- Cell Biology 40
- Molecular Biology 151
- Aging 3
- Health Informatics 2
Countries citing papers authored by Mengting Gu
This map shows the geographic impact of Mengting Gu'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 Mengting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengting Gu more than expected).
Fields of papers citing papers by Mengting Gu
This network shows the impact of papers produced by Mengting Gu. 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 Mengting Gu. The network helps show where Mengting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengting Gu, 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 | 2019 | 54 | |
| 2 | 2017 | 52 | |
| 3 | 2017 | 39 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 7 | |
| 7 | 2014 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Mengting Gu
Mengting Gu is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Hepatology, having authored 18 papers that have together received 238 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), MicroRNA in disease regulation (3 papers), Genomics and Chromatin Dynamics (2 papers), Advanced Graph Neural Networks (2 papers), Cancer-related molecular mechanisms research (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Cancer Research (49 citations), Cell Biology (40 citations), Molecular Biology (151 citations), Aging (3 citations) and Health Informatics (2 citations). Mengting Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mark Gerstein, Donghoon Lee, Jing Zhang, Matthew Meyerson, Stefania Nicoli, Dionna M. Kasper, Fábio C. P. Navarro, Mario Dejung, Shantao Li and Karla M. Neugebauer. Their work appears in journals such as Abdominal Radiology, Genome Research, Cancer Imaging, Brain Research and Nature Cell Biology.
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.