Linling Ju
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
Papers in
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- Circular RNAs in diseases 10
- RNA modifications and cancer 4
- Glycosylation and Glycoproteins Research 3
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 4
- Co-authors
- Lin Chen (23 shared papers)Jianguo Shao (11 shared papers)Zhaolian Bian (17 shared papers)Yifan Wang (3 shared papers)Junhong Li (1 shared paper)Weihua Cai (9 shared papers)Yunsen Li (3 shared papers)Xiang Ji (1 shared paper)
In The Last Decade
Linling Ju
37 papers receiving 330 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 82
- Molecular Biology 179
- Hepatology 16
- Immunology 41
- Pulmonary and Respiratory Medicine 51
Countries citing papers authored by Linling Ju
This map shows the geographic impact of Linling Ju'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 Linling Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linling Ju more than expected).
Fields of papers citing papers by Linling Ju
This network shows the impact of papers produced by Linling Ju. 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 Linling Ju. The network helps show where Linling Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Linling Ju, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2021 | 28 | |
| 3 | 2015 | 26 | |
| 4 | 2020 | 21 | |
| 5 | 2023 | 18 | |
| 6 | 2021 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2024 | 10 | |
| 13 | 2025 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Linling Ju
Linling Ju is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 44 papers that have together received 332 indexed citations. Recurring topics across this work include Circular RNAs in diseases (10 papers), MicroRNA in disease regulation (10 papers), Ferroptosis and cancer prognosis (4 papers), Immune Cell Function and Interaction (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (82 citations), Molecular Biology (179 citations), Hepatology (16 citations), Immunology (41 citations) and Pulmonary and Respiratory Medicine (51 citations). Linling Ju has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Lin Chen, Jianguo Shao, Zhaolian Bian, Yifan Wang, Junhong Li, Weihua Cai, Yunsen Li, Xiang Ji, Qing Xie and Yong Li. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, World Journal of Gastroenterology, Oncology Reports and International Immunopharmacology.
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.