Junwei Su
Impact in
- Infectious Diseases top 10%
- 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 10
- SARS-CoV-2 and COVID-19 Research 8
- Oncology 12
- Polyomavirus and related diseases 3
- Lung Cancer Research Studies 3
- Co-authors
- Kaijin Xu (9 shared papers)Yunqing Qiu (4 shared papers)Biao Zhu (15 shared papers)Xiaoyang Lu (1 shared paper)Hangping Yao (1 shared paper)Lingjuan He (1 shared paper)Yan Lou (1 shared paper)Lin Liu (1 shared paper)
- Journals
- Pathogens (3 papers)Lung Cancer (2 papers)BMC Infectious Diseases (2 papers)Journal of Inflammation Research (2 papers)Therapeutic Advances in Medical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junwei Su
44 papers receiving 757 citations
Junwei Su's Hit Papers
Peers
Comparison fields: 5 of 101
- Infectious Diseases 201
- Neurology 91
- Oncology 147
- Hepatology 38
- Biological Psychiatry 8
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 49 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 | 123 |
| 3 | 2021 | 66 | |
| 4 | 2011 | 51 | |
| 5 | 2021 | 51 | |
| 6 | 2016 | 43 | |
| 7 | 2022 | 35 | |
| 8 | 2014 | 30 | |
| 9 | 2022 | 28 | |
| 10 | 2020 | 24 | |
| 11 | 2013 | 24 | |
| 12 | 2020 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2020 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2023 | 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 Surgery, having authored 49 papers that have together received 766 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Lung Cancer Treatments and Mutations (7 papers), Polyomavirus and related diseases (3 papers), Lung Cancer Research Studies (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Fungal Infections and Studies (2 papers) and Full-Duplex Wireless Communications (2 papers). The work is most often cited by research in Infectious Diseases (201 citations), Neurology (91 citations), Oncology (147 citations), Hepatology (38 citations) and Biological Psychiatry (8 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, Xiaoyang Lu, Hangping Yao, Lingjuan He, Yan Lou, Lin Liu, Hua‐Jun Chen and Xingjiang Hu. Their work appears in journals such as Pathogens, Lung Cancer, BMC Infectious Diseases, Journal of Inflammation Research and Therapeutic Advances in Medical Oncology.
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.