Haoting Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Plant Gene Expression Analysis 5
- Extracellular vesicles in disease 5
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- Immune cells in cancer 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- Lun–Xiu Qin (15 shared papers)Hu‐Liang Jia (5 shared papers)Qiongzhu Dong (10 shared papers)Yan Zheng (8 shared papers)Luyu Yang (9 shared papers)Qin Luo (6 shared papers)Xiaotian Shen (4 shared papers)Beiyuan Hu (4 shared papers)
In The Last Decade
Haoting Sun
21 papers receiving 1.2k citations
Haoting Sun's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 447
- Immunology 364
- Hepatology 103
- Molecular Biology 713
- Oncology 244
Countries citing papers authored by Haoting Sun
This map shows the geographic impact of Haoting Sun'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 Haoting Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoting Sun more than expected).
Fields of papers citing papers by Haoting Sun
This network shows the impact of papers produced by Haoting Sun. 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 Haoting Sun. The network helps show where Haoting Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Haoting Sun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isolation and characterization of exosomes for cancer research Hit paper breakdown → | 2020 | 376 |
| 2 | 2020 | 271 | |
| 3 | 2022 | 104 | |
| 4 | 2021 | 88 | |
| 5 | 2017 | 71 | |
| 6 | 2021 | 60 | |
| 7 | 2018 | 48 | |
| 8 | 2014 | 40 | |
| 9 | Interleukin-6 enhances cancer stemness and promotes metastasis of hepatocellular carcinoma via up-regulating osteopontin expression. | 2016 | 39 |
| 10 | 2018 | 33 | |
| 11 | 2022 | 30 | |
| 12 | 2015 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Haoting Sun
Haoting Sun is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Extracellular vesicles in disease (5 papers), Immune cells in cancer (5 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer Mechanisms and Therapy (4 papers), MicroRNA in disease regulation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Horticultural and Viticultural Research (3 papers). The work is most often cited by research in Cancer Research (447 citations), Immunology (364 citations), Hepatology (103 citations), Molecular Biology (713 citations) and Oncology (244 citations). Haoting Sun has collaborated with scholars based in China, Germany and Spain. Frequent co-authors include Lun–Xiu Qin, Hu‐Liang Jia, Qiongzhu Dong, Yan Zheng, Luyu Yang, Qin Luo, Xiaotian Shen, Beiyuan Hu, Yan Fu and Tiantian Zou. Their work appears in journals such as Scientia Horticulturae, Journal of Experimental & Clinical Cancer Research, Journal of Hematology & Oncology, iScience and Gene.
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.