Cegui Hu
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 2
- Oncology 6
- Co-authors
- Jinfeng Zhu (8 shared papers)Wenjun Zhang (5 shared papers)Hongliang Luo (3 shared papers)Zhen Zong (8 shared papers)Wen Qiao (4 shared papers)Hanjun Li (5 shared papers)Sumiya Dalangood (5 shared papers)Jun Gui (5 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Cell Metabolism (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Brain Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Cegui Hu
20 papers receiving 333 citations
Peers
Comparison fields: 5 of 62
- Physiology 49
- Cancer Research 84
- Health Informatics 5
- Oncology 75
- Immunology 52
Countries citing papers authored by Cegui Hu
This map shows the geographic impact of Cegui Hu'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 Cegui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cegui Hu more than expected).
Fields of papers citing papers by Cegui Hu
This network shows the impact of papers produced by Cegui Hu. 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 Cegui Hu. The network helps show where Cegui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cegui Hu, 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 | 2024 | 48 | |
| 2 | 2024 | 47 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2021 | 2 |
About Cegui Hu
Cegui Hu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers), Epigenetics and DNA Methylation (4 papers), Gastric Cancer Management and Outcomes (4 papers), Metastasis and carcinoma case studies (3 papers), Adenosine and Purinergic Signaling (2 papers), RNA Research and Splicing (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Physiology (49 citations), Cancer Research (84 citations), Health Informatics (5 citations), Oncology (75 citations) and Immunology (52 citations). Cegui Hu has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Jinfeng Zhu, Wenjun Zhang, Hongliang Luo, Zhen Zong, Wen Qiao, Hanjun Li, Sumiya Dalangood, Jun Gui, Xiaojian Zhu and Lin Kang. Their work appears in journals such as Frontiers in Oncology, Cell Metabolism, Frontiers in Cell and Developmental Biology, Brain Research and Frontiers in Immunology.
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.