Lina Gu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Papers in
-
- Circular RNAs in diseases 18
- RNA modifications and cancer 8
-
- MicroRNA in disease regulation 22
- Cancer-related molecular mechanisms research 12
- Co-authors
- Meixiang Sang (35 shared papers)Fei Liu (25 shared papers)Lingjiao Meng (18 shared papers)Cuizhi Geng (7 shared papers)Yingchao Ju (6 shared papers)Yishui Lian (6 shared papers)Shanshan Yang (8 shared papers)Yunyan Wu (11 shared papers)
- Journals
- Human Pathology (3 papers)Cancer Cell International (3 papers)Scientific Reports (2 papers)Cancer Letters (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lina Gu
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 654
- Molecular Biology 1.0k
- Immunology 260
- Oncology 274
- Pulmonary and Respiratory Medicine 200
Countries citing papers authored by Lina Gu
This map shows the geographic impact of Lina 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 Lina Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Gu more than expected).
Fields of papers citing papers by Lina Gu
This network shows the impact of papers produced by Lina 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 Lina Gu. The network helps show where Lina Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lina 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
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2018 | 132 | |
| 3 | 2016 | 99 | |
| 4 | 2018 | 73 | |
| 5 | 2019 | 61 | |
| 6 | 2013 | 47 | |
| 7 | 2015 | 41 | |
| 8 | 2022 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2018 | 36 | |
| 11 | 2014 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2020 | 34 | |
| 14 | 2022 | 33 | |
| 15 | 2014 | 32 | |
| 16 | 2022 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2016 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2016 | 25 |
About Lina Gu
Lina Gu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Circular RNAs in diseases (18 papers), Cancer-related molecular mechanisms research (12 papers), Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), RNA modifications and cancer (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (654 citations), Molecular Biology (1.0k citations), Immunology (260 citations), Oncology (274 citations) and Pulmonary and Respiratory Medicine (200 citations). Lina Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Meixiang Sang, Fei Liu, Lingjiao Meng, Cuizhi Geng, Yingchao Ju, Yishui Lian, Shanshan Yang, Yunyan Wu, Baoen Shan and Ping’an Ding. Their work appears in journals such as Human Pathology, Cancer Cell International, Scientific Reports, Cancer Letters and Cell Death and Disease.
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.