Lei Pi
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Kawasaki Disease and Coronary Complications
Papers in
- Surgery 28
- Kawasaki Disease and Coronary Complications 26
-
- Coronary Artery Anomalies 11
- Co-authors
- Xiaoqiong Gu (36 shared papers)Di Che (37 shared papers)Yufen Xu (36 shared papers)Li Zhang (16 shared papers)Ping Huang (10 shared papers)Yaqian Tan (8 shared papers)Zhaoliang Lu (8 shared papers)Zhi Zeng (1 shared paper)
- Journals
- Frontiers in Genetics (4 papers)Journal of Inflammation Research (3 papers)Journal of Clinical Laboratory Analysis (3 papers)Bioscience Reports (3 papers)The Journal of Gene Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lei Pi
45 papers receiving 419 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 93
- Surgery 139
- Immunology 69
- Pulmonary and Respiratory Medicine 91
- Molecular Biology 150
Countries citing papers authored by Lei Pi
This map shows the geographic impact of Lei Pi'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 Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Pi more than expected).
Fields of papers citing papers by Lei Pi
This network shows the impact of papers produced by Lei Pi. 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 Pi. The network helps show where Lei Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Pi, 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 | 2019 | 99 | |
| 2 | 2019 | 31 | |
| 3 | 2011 | 28 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 17 | |
| 6 | 2009 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 9 | |
| 16 | Modeling Uncertain and Imprecise Information in Process Modeling with UML. | 2008 | 8 |
| 17 | 2022 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 7 |
About Lei Pi
Lei Pi is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Cancer Research, having authored 48 papers that have together received 427 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (26 papers), Coronary Artery Anomalies (11 papers), Cancer-related molecular mechanisms research (7 papers), Reproductive System and Pregnancy (6 papers), Cardiovascular Issues in Pregnancy (5 papers), Inflammasome and immune disorders (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (93 citations), Surgery (139 citations), Immunology (69 citations), Pulmonary and Respiratory Medicine (91 citations) and Molecular Biology (150 citations). Lei Pi has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaoqiong Gu, Di Che, Yufen Xu, Li Zhang, Ping Huang, Yaqian Tan, Zhaoliang Lu, Zhi Zeng, Renjing Liu and Wai Ho Tang. Their work appears in journals such as Frontiers in Genetics, Journal of Inflammation Research, Journal of Clinical Laboratory Analysis, Bioscience Reports and The Journal of Gene Medicine.
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.