Jun Ling
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Ocular Diseases and Behçet’s Syndrome
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- Retinal Imaging and Analysis
Papers in
-
- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Intracranial Aneurysms: Treatment and Complications 1
- Co-authors
- Paul W. Sternberg (1 shared paper)Timothy M. Wallace (1 shared paper)C. M. S. Cohen (1 shared paper)Diane Lawson (1 shared paper)Stefan Dithmar (1 shared paper)Hans E. Grossniklaus (2 shared papers)Victor M. Elner (1 shared paper)Wenxin Chen (3 shared papers)
- Journals
- British Journal of Radiology (2 papers)Clinical Radiology (1 paper)American Journal of Ophthalmology (1 paper)Cancer Imaging (1 paper)Experimental and Therapeutic Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Ling
9 papers receiving 403 citations
Peers
Comparison fields: 5 of 40
- Ophthalmology 289
- Radiology, Nuclear Medicine and Imaging 112
- Neurology 23
- Molecular Biology 116
- Immunology 27
Countries citing papers authored by Jun Ling
This map shows the geographic impact of Jun Ling'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 Jun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ling more than expected).
Fields of papers citing papers by Jun Ling
This network shows the impact of papers produced by Jun Ling. 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 Jun Ling. The network helps show where Jun Ling may publish in the future.
Co-authors
The 19 scholars most cited alongside Jun Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Macrophage and retinal pigment epithelium expression of angiogenic cytokines in choroidal neovascularization. | 2002 | 392 |
| 2 | 2022 | 10 | |
| 3 | 2014 | 8 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2003 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 1 |
About Jun Ling
Jun Ling is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine, Ophthalmology and Physiology, having authored 9 papers that have together received 426 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper), Retinal Diseases and Treatments (1 paper), Histiocytic Disorders and Treatments (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Medical Imaging and Pathology Studies (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Ophthalmology (289 citations), Radiology, Nuclear Medicine and Imaging (112 citations), Neurology (23 citations), Molecular Biology (116 citations) and Immunology (27 citations). Jun Ling has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Paul W. Sternberg, Timothy M. Wallace, C. M. S. Cohen, Diane Lawson, Stefan Dithmar, Hans E. Grossniklaus, Victor M. Elner, Wenxin Chen, Xiaojie Pan and Jingtao Wu. Their work appears in journals such as British Journal of Radiology, Clinical Radiology, American Journal of Ophthalmology, Cancer Imaging and Experimental and Therapeutic 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.