Junwei Su
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 13
- SARS-CoV-2 and COVID-19 Research 11
- Oncology 14
- Lung Cancer Research Studies 4
- Co-authors
- Kaijin Xu (9 shared papers)Yunqing Qiu (4 shared papers)Biao Zhu (15 shared papers)Lingjuan He (1 shared paper)Xi Yang (1 shared paper)Xiaoyang Lu (1 shared paper)Tingbo Liang (1 shared paper)Qingwei Zhao (1 shared paper)
- Journals
- Pathogens (3 papers)Lung Cancer (2 papers)Therapeutic Advances in Medical Oncology (2 papers)BMC Infectious Diseases (2 papers)Journal of Inflammation Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junwei Su
40 papers receiving 714 citations
Junwei Su's Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 285
- Neurology 137
- Oncology 167
- Hepatology 45
- Critical Care and Intensive Care Medicine 29
Countries citing papers authored by Junwei Su
This map shows the geographic impact of Junwei Su'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 Junwei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Su more than expected).
Fields of papers citing papers by Junwei Su
This network shows the impact of papers produced by Junwei Su. 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 Junwei Su. The network helps show where Junwei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Su, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study Hit paper breakdown → | 2023 | 110 |
| 3 | 2021 | 61 | |
| 4 | 2011 | 51 | |
| 5 | 2021 | 50 | |
| 6 | 2016 | 42 | |
| 7 | 2022 | 33 | |
| 8 | 2014 | 29 | |
| 9 | 2022 | 27 | |
| 10 | 2013 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2019 | 7 |
About Junwei Su
Junwei Su is a scholar working on Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 48 papers that have together received 722 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Lung Cancer Treatments and Mutations (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Lung Cancer Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 diagnosis using AI (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Infectious Diseases (285 citations), Neurology (137 citations), Oncology (167 citations), Hepatology (45 citations) and Critical Care and Intensive Care Medicine (29 citations). Junwei Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kaijin Xu, Yunqing Qiu, Biao Zhu, Lingjuan He, Xi Yang, Xiaoyang Lu, Tingbo Liang, Qingwei Zhao, Yan Lou and Hangping Yao. Their work appears in journals such as Pathogens, Lung Cancer, Therapeutic Advances in Medical Oncology, BMC Infectious Diseases and Journal of Inflammation Research.
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.