Pu Duann
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 6
- Cancer therapeutics and mechanisms 4
-
- Acute Kidney Injury Research 7
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 3
- Co-authors
- Pei‐Hui Lin (15 shared papers)Leroy F. Liu (3 shared papers)Jiaxi Wu (1 shared paper)Peter D’Arpa (1 shared paper)Elias A. Lianos (10 shared papers)Jianjie Ma (11 shared papers)Haichang Li (8 shared papers)Xinyu Zhou (6 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Annals of the New York Academy of Sciences (2 papers)Biophysical Journal (2 papers)Journal of Biological Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Pu Duann
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Nephrology 163
- Physiology 82
- Toxicology 61
- Molecular Biology 808
- Oncology 225
Countries citing papers authored by Pu Duann
This map shows the geographic impact of Pu Duann'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 Duann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Duann more than expected).
Fields of papers citing papers by Pu Duann
This network shows the impact of papers produced by Pu Duann. 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 Duann. The network helps show where Pu Duann may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Duann, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 447 | |
| 2 | 2017 | 164 | |
| 3 | 2015 | 109 | |
| 4 | 2014 | 106 | |
| 5 | 2016 | 83 | |
| 6 | 2015 | 67 | |
| 7 | 2014 | 67 | |
| 8 | 2017 | 67 | |
| 9 | 1996 | 31 | |
| 10 | 2020 | 29 | |
| 11 | 2006 | 26 | |
| 12 | 2009 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2016 | 17 | |
| 15 | 2005 | 14 | |
| 16 | 2006 | 12 | |
| 17 | 2014 | 12 | |
| 18 | 1999 | 12 | |
| 19 | 2006 | 12 | |
| 20 | 2015 | 10 |
About Pu Duann
Pu Duann is a scholar working on Molecular Biology, Nephrology, Pediatrics, Perinatology and Child Health, Surgery and Rehabilitation, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (7 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Neonatal Health and Biochemistry (5 papers), Cancer therapeutics and mechanisms (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Wound Healing and Treatments (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Nephrology (163 citations), Physiology (82 citations), Toxicology (61 citations), Molecular Biology (808 citations) and Oncology (225 citations). Pu Duann has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pei‐Hui Lin, Leroy F. Liu, Jiaxi Wu, Peter D’Arpa, Elias A. Lianos, Jianjie Ma, Haichang Li, Xinyu Zhou, Chunyu Zeng and Hua Zhu. Their work appears in journals such as Journal of Visualized Experiments, Annals of the New York Academy of Sciences, Biophysical Journal, Journal of Biological Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.