Pu Li
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Health Informatics top 10%
Papers in
-
- Ubiquitin and proteasome pathways 5
- Advanced biosensing and bioanalysis techniques 3
- Cancer-related gene regulation 2
- TGF-β signaling in diseases 2
- Oncology 4
- Co-authors
- Herman Wolosker (1 shared paper)Rogério Panizzutti (1 shared paper)Michael D. Toney (1 shared paper)Veronika N. Foltyn (1 shared paper)Elena Kartvelishvily (1 shared paper)Elena Dumin (1 shared paper)Joari De Miranda (1 shared paper)Fei Li (4 shared papers)
- Journals
- Orphanet Journal of Rare Diseases (1 paper)Cell Research (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Clinical and Translational Science (1 paper)BMC Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Pu Li
32 papers receiving 873 citations
Peers
Comparison fields: 5 of 88
- Biochemistry 175
- Health Informatics 21
- Biological Psychiatry 28
- Hematology 120
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Pu Li
This map shows the geographic impact of Pu Li'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 Pu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Li more than expected).
Fields of papers citing papers by Pu Li
This network shows the impact of papers produced by Pu Li. 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 Pu Li. The network helps show where Pu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Li, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 263 | |
| 2 | 2004 | 184 | |
| 3 | 2015 | 72 | |
| 4 | 2020 | 63 | |
| 5 | 2015 | 41 | |
| 6 | 2014 | 37 | |
| 7 | 2010 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 19 | |
| 10 | 2007 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2006 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2012 | 13 | |
| 15 | 2005 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2012 | 6 | |
| 20 | 2016 | 6 |
About Pu Li
Pu Li is a scholar working on Molecular Biology, Oncology, Hematology, Infectious Diseases and Cell Biology, having authored 33 papers that have together received 888 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Cell Function and Interaction (3 papers), Microtubule and mitosis dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Carbon and Quantum Dots Applications (2 papers), Cancer-related gene regulation (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Biochemistry (175 citations), Health Informatics (21 citations), Biological Psychiatry (28 citations), Hematology (120 citations) and Cellular and Molecular Neuroscience (155 citations). Pu Li has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Herman Wolosker, Rogério Panizzutti, Michael D. Toney, Veronika N. Foltyn, Elena Kartvelishvily, Elena Dumin, Joari De Miranda, Fei Li, Guangju Ji and Jing Zhang. Their work appears in journals such as Orphanet Journal of Rare Diseases, Cell Research, Frontiers in Bioengineering and Biotechnology, Clinical and Translational Science and BMC Neuroscience.
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.