Pu Li
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 3
- TGF-β signaling in diseases 2
-
- Autoimmune and Inflammatory Disorders Research 3
- Co-authors
- Veronika N. Foltyn (1 shared paper)Rogério Panizzutti (1 shared paper)Elena Kartvelishvily (1 shared paper)Michael D. Toney (1 shared paper)Joari De Miranda (1 shared paper)Herman Wolosker (1 shared paper)Elena Dumin (1 shared paper)Fei Li (4 shared papers)
- Journals
- Journal of Assisted Reproduction and Genetics (1 paper)Cell Research (1 paper)Genes Chromosomes and Cancer (1 paper)Molecular Carcinogenesis (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pu Li
33 papers receiving 895 citations
Peers
Comparison fields: 5 of 84
- Biochemistry 175
- Biological Psychiatry 27
- Health Informatics 15
- Hematology 120
- Cellular and Molecular Neuroscience 145
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 265 | |
| 2 | 2004 | 184 | |
| 3 | 2015 | 73 | |
| 4 | 2020 | 63 | |
| 5 | 2015 | 41 | |
| 6 | 2014 | 39 | |
| 7 | 2010 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 19 | |
| 10 | 2007 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2006 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2005 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2012 | 6 | |
| 20 | 2024 | 6 |
About Pu Li
Pu Li is a scholar working on Molecular Biology, Hematology, Oncology, Cell Biology and Rheumatology, having authored 34 papers that have together received 908 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Carbon and Quantum Dots Applications (2 papers), TGF-β signaling in diseases (2 papers), Nanocluster Synthesis and Applications (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biochemistry (175 citations), Biological Psychiatry (27 citations), Health Informatics (15 citations), Hematology (120 citations) and Cellular and Molecular Neuroscience (145 citations). Pu Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Veronika N. Foltyn, Rogério Panizzutti, Elena Kartvelishvily, Michael D. Toney, Joari De Miranda, Herman Wolosker, Elena Dumin, Fei Li, Qiangzhe Zhang and Henghua Cao. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Cell Research, Genes Chromosomes and Cancer, Molecular Carcinogenesis and RSC Advances.
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.