Yinping Lu
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
- Hepatology 12
- Hepatitis C virus research 8
- Epidemiology 15
- Hepatitis B Virus Studies 15
- Co-authors
- Dongliang Yang (20 shared papers)Baoju Wang (12 shared papers)Mengji Lu (16 shared papers)Jia Liu (7 shared papers)Wei Xiang (2 shared papers)Dongye Yi (2 shared papers)Junzhong Wang (5 shared papers)Xuemei Feng (6 shared papers)
In The Last Decade
Yinping Lu
37 papers receiving 1.8k citations
Yinping Lu's Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 975
- Neurology 486
- Hepatology 102
- Immunology 228
- Obstetrics and Gynecology 67
Countries citing papers authored by Yinping Lu
This map shows the geographic impact of Yinping Lu'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 Yinping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinping Lu more than expected).
Fields of papers citing papers by Yinping Lu
This network shows the impact of papers produced by Yinping Lu. 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 Yinping Lu. The network helps show where Yinping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinping Lu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients Hit paper breakdown → | 2020 | 1325 |
| 2 | 2021 | 53 | |
| 3 | 2018 | 45 | |
| 4 | 2021 | 43 | |
| 5 | 2018 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2011 | 34 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2022 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2015 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2011 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2007 | 8 |
About Yinping Lu
Yinping Lu is a scholar working on Hepatology, Epidemiology, Immunology, Infectious Diseases and Animal Science and Zoology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (15 papers), Hepatitis C virus research (8 papers), interferon and immune responses (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Functional Brain Connectivity Studies (3 papers), Animal Virus Infections Studies (3 papers), Immune Response and Inflammation (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (975 citations), Neurology (486 citations), Hepatology (102 citations), Immunology (228 citations) and Obstetrics and Gynecology (67 citations). Yinping Lu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Dongliang Yang, Baoju Wang, Mengji Lu, Jia Liu, Wei Xiang, Dongye Yi, Junzhong Wang, Xuemei Feng, Xuecheng Yang and Xin Zheng. Their work appears in journals such as Frontiers in Immunology, Molecular Immunology, Cytokine, Scientific Reports and EBioMedicine.
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.