William Puszyk
Impact in
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- Cancer Genomics and Diagnostics
- Hepatology top 10%
Papers in
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- Epigenetics and DNA Methylation 8
- Advanced biosensing and bioanalysis techniques 1
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- Prenatal Screening and Diagnostics 5
- Birth, Development, and Health 2
- Co-authors
- Chen Liu (11 shared papers)Robert Old (4 shared papers)Francesco Crea (4 shared papers)Olorunseun O. Ogunwobi (2 shared papers)Sarah J. Chapple (3 shared papers)Hui‐Jia Dong (1 shared paper)Giovanni E. Mann (2 shared papers)Keith D. Robertson (6 shared papers)
- Journals
- Laboratory Investigation (2 papers)PLoS ONE (2 papers)Molecular Cancer Therapeutics (1 paper)Molecular Therapy (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William Puszyk
20 papers receiving 671 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 133
- Hepatology 65
- Pediatrics, Perinatology and Child Health 131
- Obstetrics and Gynecology 52
- Molecular Biology 421
Countries citing papers authored by William Puszyk
This map shows the geographic impact of William Puszyk'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 William Puszyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Puszyk more than expected).
Fields of papers citing papers by William Puszyk
This network shows the impact of papers produced by William Puszyk. 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 William Puszyk. The network helps show where William Puszyk may publish in the future.
Co-authors
The 25 scholars most cited alongside William Puszyk, 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 | 2013 | 95 | |
| 2 | 2013 | 78 | |
| 3 | 2007 | 69 | |
| 4 | 2012 | 69 | |
| 5 | 2015 | 69 | |
| 6 | 2014 | 62 | |
| 7 | 2013 | 34 | |
| 8 | 2017 | 30 | |
| 9 | 2015 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2013 | 26 | |
| 12 | 2008 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2015 | 17 | |
| 15 | 2007 | 14 | |
| 16 | 2021 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2008 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2016 | 1 |
About William Puszyk
William Puszyk is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Cancer Research, Genetics and Oncology, having authored 20 papers that have together received 683 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Prenatal Screening and Diagnostics (5 papers), Genetic Syndromes and Imprinting (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Birth, Development, and Health (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (133 citations), Hepatology (65 citations), Pediatrics, Perinatology and Child Health (131 citations), Obstetrics and Gynecology (52 citations) and Molecular Biology (421 citations). William Puszyk has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Chen Liu, Robert Old, Francesco Crea, Olorunseun O. Ogunwobi, Sarah J. Chapple, Hui‐Jia Dong, Giovanni E. Mann, Keith D. Robertson, Thu Le Trinh and Maj Hultén. Their work appears in journals such as Laboratory Investigation, PLoS ONE, Molecular Cancer Therapeutics, Molecular Therapy and Frontiers in Cell and Developmental Biology.
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.