Jun‐Long Song
Impact in
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- Breast Cancer Treatment Studies
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- Thyroid Cancer Diagnosis and Treatment
Papers in
- Surgery 11
- Thyroid and Parathyroid Surgery 5
- Head and Neck Anomalies 3
- Esophageal Cancer Research and Treatment 3
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- Breast Cancer Treatment Studies 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Shengrong Sun (13 shared papers)Chuang Chen (9 shared papers)Chuang Chen (3 shared papers)Jingping Yuan (2 shared papers)Xiang Zhang (3 shared papers)Lingrui Li (5 shared papers)Qi Wu (2 shared papers)Ying Liu (1 shared paper)
In The Last Decade
Jun‐Long Song
30 papers receiving 428 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 143
- Endocrinology, Diabetes and Metabolism 70
- Surgery 158
- Oncology 94
- Pathology and Forensic Medicine 55
Countries citing papers authored by Jun‐Long Song
This map shows the geographic impact of Jun‐Long Song'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‐Long Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Long Song more than expected).
Fields of papers citing papers by Jun‐Long Song
This network shows the impact of papers produced by Jun‐Long Song. 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‐Long Song. The network helps show where Jun‐Long Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Long Song, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 61 | |
| 2 | 2014 | 54 | |
| 3 | 2014 | 46 | |
| 4 | 2016 | 45 | |
| 5 | 2018 | 27 | |
| 6 | 2023 | 19 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 16 | |
| 10 | VNN1 overexpression is associated with poor response to preoperative chemoradiotherapy and adverse prognosis in patients with rectal cancers. | 2016 | 16 |
| 11 | 2017 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 1992 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2017 | 6 |
About Jun‐Long Song
Jun‐Long Song is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology, having authored 30 papers that have together received 432 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Thyroid and Parathyroid Surgery (5 papers), Breast Cancer Treatment Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers), BRCA gene mutations in cancer (3 papers), Head and Neck Anomalies (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (143 citations), Endocrinology, Diabetes and Metabolism (70 citations), Surgery (158 citations), Oncology (94 citations) and Pathology and Forensic Medicine (55 citations). Jun‐Long Song has collaborated with scholars based in China, Taiwan and Italy. Frequent co-authors include Shengrong Sun, Chuang Chen, Chuang Chen, Jingping Yuan, Xiang Zhang, Lingrui Li, Qi Wu, Ying Liu, Yuanyuan Shen and Hongyuan Li. Their work appears in journals such as Medicine, BMC Surgery, Aging, Cancer Biomarkers and Familial 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.