Jin Gu
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Ultrasound in Clinical Applications
Papers in
-
- COVID-19 Clinical Research Studies 7
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Xiaoyu Han (10 shared papers)Yukun Cao (9 shared papers)Osamah Alwalid (7 shared papers)Yanqing Fan (7 shared papers)Chuansheng Zheng (4 shared papers)Heshui Shi (4 shared papers)Nanchuan Jiang (2 shared papers)Heshui Shi (7 shared papers)
- Journals
- Scientific Reports (3 papers)Radiology (2 papers)Clinical Infectious Diseases (1 paper)Journal of Pineal Research (1 paper)The Lancet Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Jin Gu
13 papers receiving 3.2k citations
Jin Gu's Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.6k
- Critical Care and Intensive Care Medicine 283
- Neurology 795
- Radiology, Nuclear Medicine and Imaging 787
- Health Informatics 32
Countries citing papers authored by Jin Gu
This map shows the geographic impact of Jin Gu'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 Jin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Gu more than expected).
Fields of papers citing papers by Jin Gu
This network shows the impact of papers produced by Jin Gu. 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 Jin Gu. The network helps show where Jin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study Hit paper breakdown → | 2020 | 2536 |
| 2 | Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumonia Hit paper breakdown → | 2021 | 387 |
| 3 | 2002 | 113 | |
| 4 | 2020 | 82 | |
| 5 | 2023 | 43 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 6 | |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 |
About Jin Gu
Jin Gu is a scholar working on Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 13 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (4 papers), Cardiac Imaging and Diagnostics (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced X-ray and CT Imaging (1 paper), Mycobacterium research and diagnosis (1 paper), Mitochondrial Function and Pathology (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Critical Care and Intensive Care Medicine (283 citations), Neurology (795 citations), Radiology, Nuclear Medicine and Imaging (787 citations) and Health Informatics (32 citations). Jin Gu has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Xiaoyu Han, Yukun Cao, Osamah Alwalid, Yanqing Fan, Chuansheng Zheng, Heshui Shi, Nanchuan Jiang, Heshui Shi, Xi Jia and Yumin Li. Their work appears in journals such as Scientific Reports, Radiology, Clinical Infectious Diseases, Journal of Pineal Research and The Lancet Infectious Diseases.
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.