Kun Shang
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
- Surgery 12
- Co-authors
- Bangwei Cao (8 shared papers)Kunsheng Zhang (2 shared papers)Jinyu Chen (2 shared papers)Chao Ke (9 shared papers)Yuxin Pei (6 shared papers)Yan Zhuang (9 shared papers)Zhichao Pei (6 shared papers)Pengfei Wang (8 shared papers)
- Journals
- Scientific Reports (2 papers)BioMed Research International (2 papers)Epilepsy Research (2 papers)Chinese Chemical Letters (2 papers)Food Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Shang
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Internal Medicine 122
- Cancer Research 162
- Animal Science and Zoology 81
- Immunology 148
- Food Science 124
Countries citing papers authored by Kun Shang
This map shows the geographic impact of Kun Shang'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 Kun Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Shang more than expected).
Fields of papers citing papers by Kun Shang
This network shows the impact of papers produced by Kun Shang. 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 Kun Shang. The network helps show where Kun Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Shang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 115 | |
| 2 | 2015 | 89 | |
| 3 | 2019 | 81 | |
| 4 | 2018 | 62 | |
| 5 | 2021 | 61 | |
| 6 | 2022 | 51 | |
| 7 | 2018 | 49 | |
| 8 | 2018 | 43 | |
| 9 | 2020 | 41 | |
| 10 | 2014 | 35 | |
| 11 | 2018 | 32 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2014 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2018 | 24 | |
| 17 | 2019 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2019 | 21 |
About Kun Shang
Kun Shang is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (6 papers), Nanoplatforms for cancer theranostics (6 papers), Epilepsy research and treatment (5 papers), Vascular Procedures and Complications (4 papers), Advanced MRI Techniques and Applications (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Internal Medicine (122 citations), Cancer Research (162 citations), Animal Science and Zoology (81 citations), Immunology (148 citations) and Food Science (124 citations). Kun Shang has collaborated with scholars based in China, United States and France. Frequent co-authors include Bangwei Cao, Kunsheng Zhang, Jinyu Chen, Chao Ke, Yuxin Pei, Yan Zhuang, Zhichao Pei, Pengfei Wang, Bin-Fei Zhang and Qing Wang. Their work appears in journals such as Scientific Reports, BioMed Research International, Epilepsy Research, Chinese Chemical Letters and Food Chemistry.
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.