Pu Li
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
-
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 3
- TGF-β signaling in diseases 2
- Plant Reproductive Biology 2
-
- Autoimmune and Inflammatory Disorders Research 3
- Co-authors
- Joari De Miranda (1 shared paper)Rogério Panizzutti (1 shared paper)Veronika N. Foltyn (1 shared paper)Elena Dumin (1 shared paper)Michael D. Toney (1 shared paper)Herman Wolosker (1 shared paper)Elena Kartvelishvily (1 shared paper)Fei Li (4 shared papers)
- Journals
- Anti-Cancer Agents in Medicinal Chemistry (1 paper)International Journal of Molecular Medicine (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Cell Death and Disease (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Pu Li
32 papers receiving 937 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 182
- Hematology 132
- Biological Psychiatry 27
- Health Informatics 15
- Cellular and Molecular Neuroscience 151
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 | 278 | |
| 2 | 2004 | 192 | |
| 3 | 2015 | 80 | |
| 4 | 2020 | 69 | |
| 5 | 2015 | 45 | |
| 6 | 2014 | 40 | |
| 7 | 2010 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 20 | |
| 10 | 2007 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2006 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2005 | 13 | |
| 16 | 2012 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2022 | 6 |
About Pu Li
Pu Li is a scholar working on Molecular Biology, Hematology, Cell Biology, Oncology and Rheumatology, having authored 34 papers that have together received 955 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), TGF-β signaling in diseases (2 papers), Carbon and Quantum Dots Applications (2 papers), Plant Reproductive Biology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biochemistry (182 citations), Hematology (132 citations), Biological Psychiatry (27 citations), Health Informatics (15 citations) and Cellular and Molecular Neuroscience (151 citations). Pu Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Joari De Miranda, Rogério Panizzutti, Veronika N. Foltyn, Elena Dumin, Michael D. Toney, Herman Wolosker, Elena Kartvelishvily, Fei Li, Qiangzhe Zhang and Junjie Jiang. Their work appears in journals such as Anti-Cancer Agents in Medicinal Chemistry, International Journal of Molecular Medicine, Frontiers in Bioengineering and Biotechnology, Cell Death and Disease and Analytical Chemistry.
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.