Paul Pang
Impact in
- Nephrology top 10%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
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- Renal and related cancers
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
Papers in
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- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Kruppel-like factors research 1
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- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Andreas Schedl (1 shared paper)A. Michaela Krautzberger (1 shared paper)Benjamin D. Humphreys (1 shared paper)Andrew McMahon (1 shared paper)Haruhiko Akiyama (1 shared paper)Antoine Reginensi (1 shared paper)Sanjeev Kumar (1 shared paper)Jing Liu (1 shared paper)
- Journals
- Stem Cell Research (2 papers)American Journal Of Pathology (1 paper)JACC. Clinical electrophysiology (1 paper)Cell Reports (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Paul Pang
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 63
- Nephrology 76
- Molecular Biology 222
- Cancer Research 28
- Transplantation 5
- Hematology 19
Countries citing papers authored by Paul Pang
This map shows the geographic impact of Paul Pang'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 Paul Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Pang more than expected).
Fields of papers citing papers by Paul Pang
This network shows the impact of papers produced by Paul Pang. 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 Paul Pang. The network helps show where Paul Pang may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Pang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 167 | |
| 2 | 2017 | 37 | |
| 3 | 2019 | 36 | |
| 4 | 2018 | 24 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 |
About Paul Pang
Paul Pang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Nephrology and Genetics, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (2 papers), CRISPR and Genetic Engineering (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Pluripotent Stem Cells Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Kruppel-like factors research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Nephrology (76 citations), Molecular Biology (222 citations), Cancer Research (28 citations), Transplantation (5 citations) and Hematology (19 citations). Paul Pang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Andreas Schedl, A. Michaela Krautzberger, Benjamin D. Humphreys, Andrew McMahon, Haruhiko Akiyama, Antoine Reginensi, Sanjeev Kumar, Jing Liu, Joseph C. Wu and Andrew M. Siedlecki. Their work appears in journals such as Stem Cell Research, American Journal Of Pathology, JACC. Clinical electrophysiology, Cell Reports and Kidney International.
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.