Jun Dang
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
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- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
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- Lung Cancer Treatments and Mutations 7
- Lung Cancer Diagnosis and Treatment 7
- Oncology 13
- Cancer Immunotherapy and Biomarkers 7
- Lung Cancer Research Studies 6
- Co-authors
- Guang Li (17 shared papers)Jun Chen (18 shared papers)Tingting Liu (9 shared papers)Lei Yao (5 shared papers)Shuo Zhang (5 shared papers)Shuang Zang (3 shared papers)Tingting Liu (5 shared papers)Bo Jin (2 shared papers)
- Journals
- PLoS ONE (5 papers)Radiation Oncology (5 papers)EClinicalMedicine (3 papers)Journal of Cancer (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Dang
40 papers receiving 514 citations
Peers
Comparison fields: 5 of 41
- Pulmonary and Respiratory Medicine 199
- Oncology 158
- Radiology, Nuclear Medicine and Imaging 118
- Radiation 37
- Otorhinolaryngology 14
Countries citing papers authored by Jun Dang
This map shows the geographic impact of Jun Dang'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 Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dang more than expected).
Fields of papers citing papers by Jun Dang
This network shows the impact of papers produced by Jun Dang. 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 Dang. The network helps show where Jun Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2014 | 44 | |
| 3 | 2012 | 41 | |
| 4 | 2018 | 33 | |
| 5 | 2010 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2014 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2012 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2024 | 10 | |
| 20 | 2015 | 9 |
About Jun Dang
Jun Dang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 43 papers that have together received 516 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Diagnosis and Treatment (7 papers), Esophageal Cancer Research and Treatment (7 papers), Lung Cancer Research Studies (6 papers), Advanced X-ray and CT Imaging (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (199 citations), Oncology (158 citations), Radiology, Nuclear Medicine and Imaging (118 citations), Radiation (37 citations) and Otorhinolaryngology (14 citations). Jun Dang has collaborated with scholars based in China and United States. Frequent co-authors include Guang Li, Jun Chen, Tingting Liu, Lei Yao, Shuo Zhang, Shuang Zang, Tingting Liu, Tingting Liu, Bo Jin and Tingting Liu. Their work appears in journals such as PLoS ONE, Radiation Oncology, EClinicalMedicine, Journal of Cancer and BMC Cancer.
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.