Ling Hai
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Glioma Diagnosis and Treatment
Papers in
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- Single-cell and spatial transcriptomics 2
- Angiogenesis and VEGF in Cancer 2
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- Pleural and Pulmonary Diseases 5
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Zhide Hu (8 shared papers)Yonghong Shi (3 shared papers)Hua Du (3 shared papers)Jing Zhao (2 shared papers)Wolfgang Wick (5 shared papers)Jing Wu (1 shared paper)Matthias Schlesner (4 shared papers)Tobias Keßler (4 shared papers)
In The Last Decade
Ling Hai
19 papers receiving 220 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 54
- Genetics 35
- Oncology 54
- Developmental Neuroscience 7
- Obstetrics and Gynecology 12
Countries citing papers authored by Ling Hai
This map shows the geographic impact of Ling Hai'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 Ling Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Hai more than expected).
Fields of papers citing papers by Ling Hai
This network shows the impact of papers produced by Ling Hai. 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 Ling Hai. The network helps show where Ling Hai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Hai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 28 | |
| 2 | 2021 | 27 | |
| 3 | 2017 | 25 | |
| 4 | 2020 | 21 | |
| 5 | Down-regulation of hypoxia-inducible factor-1 suppresses malignant biological behavior of triple-negative breast cancer cells. | 2014 | 20 |
| 6 | Histopathologic characteristics and immunotypes of perivascular epithelioid cell tumors (PEComa). | 2019 | 16 |
| 7 | 2020 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 14 | |
| 10 | Heparanase promotes human gastric cancer cells migration and invasion by increasing Src and p38 phosphorylation expression. | 2014 | 12 |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 0 |
About Ling Hai
Ling Hai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Cancer Research, having authored 23 papers that have together received 222 indexed citations. Recurring topics across this work include Pleural and Pulmonary Diseases (5 papers), Glioma Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Ultrasound in Clinical Applications (2 papers). The work is most often cited by research in Cancer Research (54 citations), Genetics (35 citations), Oncology (54 citations), Developmental Neuroscience (7 citations) and Obstetrics and Gynecology (12 citations). Ling Hai has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Zhide Hu, Yonghong Shi, Hua Du, Jing Zhao, Wolfgang Wick, Jing Wu, Matthias Schlesner, Tobias Keßler, Fang Wang and Lili Jiang. Their work appears in journals such as Neuro-Oncology, Expert Review of Respiratory Medicine, Infection and Drug Resistance, Journal of Advanced Research and Annals of Translational Medicine.
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.