Jiayan Gu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
Papers in
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- IoT and Edge/Fog Computing 5
- Caching and Content Delivery 2
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Chuanshu Huang (7 shared papers)Jing-Xia Li (6 shared papers)Honglei Jin (6 shared papers)Haishan Huang (5 shared papers)John Panneerselvam (6 shared papers)Guosong Jiang (4 shared papers)Lu Liu (5 shared papers)Qipeng Xie (4 shared papers)
- Journals
- Cytokine (2 papers)Oncotarget (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Journal of Cloud Computing Advances Systems and Applications (1 paper)Attention Perception & Psychophysics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiayan Gu
21 papers receiving 534 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 140
- Molecular Biology 278
- Geriatrics and Gerontology 9
- Epidemiology 84
- Oncology 65
Countries citing papers authored by Jiayan Gu
This map shows the geographic impact of Jiayan 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 Jiayan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayan Gu more than expected).
Fields of papers citing papers by Jiayan Gu
This network shows the impact of papers produced by Jiayan 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 Jiayan Gu. The network helps show where Jiayan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiayan 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2016 | 57 | |
| 3 | 2017 | 53 | |
| 4 | 2014 | 47 | |
| 5 | 2017 | 45 | |
| 6 | 2016 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2019 | 31 | |
| 11 | 2016 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2023 | 17 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Jiayan Gu
Jiayan Gu is a scholar working on Computer Networks and Communications, Cancer Research, Information Systems, Molecular Biology and Hematology, having authored 22 papers that have together received 543 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), RNA modifications and cancer (3 papers), Neural and Behavioral Psychology Studies (2 papers), Caching and Content Delivery (2 papers), Cancer-related molecular mechanisms research (2 papers), Cloud Computing and Resource Management (2 papers), Protein Degradation and Inhibitors (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (140 citations), Molecular Biology (278 citations), Geriatrics and Gerontology (9 citations), Epidemiology (84 citations) and Oncology (65 citations). Jiayan Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuanshu Huang, Jing-Xia Li, Honglei Jin, Haishan Huang, John Panneerselvam, Guosong Jiang, Lu Liu, Qipeng Xie, Yao Lu and Bo Yuan. Their work appears in journals such as Cytokine, Oncotarget, Molecular Therapy — Nucleic Acids, Journal of Cloud Computing Advances Systems and Applications and Attention Perception & Psychophysics.
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.