Lei Tu
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
- Co-authors
- Runsheng Wang (6 shared papers)Guogang Xu (6 shared papers)Qinyong Hu (4 shared papers)Yingzhen Du (4 shared papers)Tianzhi Li (4 shared papers)Chao Hu (4 shared papers)Mi Mu (3 shared papers)Pengcheng Yang (2 shared papers)
- Journals
- Oncotarget (3 papers)Neurogastroenterology & Motility (3 papers)Gastroenterology (2 papers)Frontiers in Immunology (2 papers)Journal of Immunology Research (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lei Tu
58 papers receiving 3.0k citations
Lei Tu's Hit Papers
Peers
Comparison fields: 5 of 146
- Infectious Diseases 1.3k
- Neurology 618
- Gastroenterology 96
- Applied Microbiology and Biotechnology 30
- Oncology 397
Countries citing papers authored by Lei Tu
This map shows the geographic impact of Lei Tu'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 Lei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Tu more than expected).
Fields of papers citing papers by Lei Tu
This network shows the impact of papers produced by Lei Tu. 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 Lei Tu. The network helps show where Lei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Tu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Study Hit paper breakdown → | 2020 | 1244 |
| 2 | Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study Hit paper breakdown → | 2020 | 646 |
| 3 | 2020 | 142 | |
| 4 | 2019 | 132 | |
| 5 | 2017 | 125 | |
| 6 | 2021 | 107 | |
| 7 | 2020 | 68 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 47 | |
| 10 | 2020 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 36 | |
| 13 | 2013 | 30 | |
| 14 | 2019 | 29 | |
| 15 | 2017 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2015 | 23 | |
| 18 | 2021 | 21 | |
| 19 | 2020 | 21 | |
| 20 | 2020 | 19 |
About Lei Tu
Lei Tu is a scholar working on Surgery, Genetics, Molecular Biology, Infectious Diseases and Immunology, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (9 papers), COVID-19 Clinical Research Studies (7 papers), Eosinophilic Esophagitis (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Vagus Nerve Stimulation Research (4 papers), Long-Term Effects of COVID-19 (4 papers), Pain Management and Treatment (3 papers) and Gastroesophageal reflux and treatments (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (618 citations), Gastroenterology (96 citations), Applied Microbiology and Biotechnology (30 citations) and Oncology (397 citations). Lei Tu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Runsheng Wang, Guogang Xu, Qinyong Hu, Yingzhen Du, Tianzhi Li, Chao Hu, Mi Mu, Pengcheng Yang, Yu Sun and Pibao Li. Their work appears in journals such as Oncotarget, Neurogastroenterology & Motility, Gastroenterology, Frontiers in Immunology and Journal of Immunology 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.