Pinyi Lu
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
Papers in
- Immunology 14
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
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- Peroxisome Proliferator-Activated Receptors 3
- Gene Regulatory Network Analysis 3
- Co-authors
- Raquel Hontecillas (18 shared papers)Josep Bassaganya‐Riera (11 shared papers)Monica Viladomiu (6 shared papers)Adria Carbo (11 shared papers)Stephanie N. Lewis (4 shared papers)David R. Bevan (4 shared papers)Lijuan Yuan (1 shared paper)Casandra Philipson (6 shared papers)
- Journals
- PLoS ONE (5 papers)Frontiers in Immunology (2 papers)Current Drug Targets (2 papers)The Journal of Immunology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Pinyi Lu
25 papers receiving 784 citations
Peers
Comparison fields: 5 of 111
- Physiology 104
- Biological Psychiatry 26
- Nutrition and Dietetics 159
- Immunology 190
- Biochemistry 42
Countries citing papers authored by Pinyi Lu
This map shows the geographic impact of Pinyi 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 Pinyi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinyi Lu more than expected).
Fields of papers citing papers by Pinyi Lu
This network shows the impact of papers produced by Pinyi 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 Pinyi Lu. The network helps show where Pinyi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinyi 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2013 | 115 | |
| 3 | 2010 | 99 | |
| 4 | 2013 | 77 | |
| 5 | 2011 | 38 | |
| 6 | 2012 | 32 | |
| 7 | 2020 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2010 | 30 | |
| 12 | 2015 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2015 | 24 | |
| 15 | 2016 | 20 | |
| 16 | 2017 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2014 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2018 | 12 |
About Pinyi Lu
Pinyi Lu is a scholar working on Immunology, Molecular Biology, Physiology, Surgery and Genetics, having authored 25 papers that have together received 826 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers), Adenosine and Purinergic Signaling (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Immune cells in cancer (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Physiology (104 citations), Biological Psychiatry (26 citations), Nutrition and Dietetics (159 citations), Immunology (190 citations) and Biochemistry (42 citations). Pinyi Lu has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Raquel Hontecillas, Josep Bassaganya‐Riera, Monica Viladomiu, Adria Carbo, Stephanie N. Lewis, David R. Bevan, Lijuan Yuan, Casandra Philipson, Zhongming Zhao and Amir J. Guri. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Current Drug Targets, The Journal of Immunology and Nucleic Acids 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.