John A. Bernat
Impact in
- Hematology top 10%
- Hemophilia Treatment and Research
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
- Physiology 20
- Lysosomal Storage Disorders Research 20
-
- Metabolism and Genetic Disorders 4
- Co-authors
- David B. Ginsburg (2 shared papers)Bin Zhang (1 shared paper)Gilbert White (1 shared paper)Norma B de Bosch (1 shared paper)Uri Seligsohn (1 shared paper)Steven W. Pipe (1 shared paper)Randal J. Kaufman (1 shared paper)John H. McVey (1 shared paper)
- Journals
- Molecular Genetics and Metabolism (13 papers)Genetics in Medicine (8 papers)Human Molecular Genetics (3 papers)Nature Communications (1 paper)Cytotherapy (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
John A. Bernat
40 papers receiving 841 citations
Peers
Comparison fields: 5 of 47
- Hematology 97
- Physiology 153
- Cell Biology 73
- Genetics 156
- Pathology and Forensic Medicine 45
Countries citing papers authored by John A. Bernat
This map shows the geographic impact of John A. Bernat'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 John A. Bernat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Bernat more than expected).
Fields of papers citing papers by John A. Bernat
This network shows the impact of papers produced by John A. Bernat. 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 John A. Bernat. The network helps show where John A. Bernat may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Bernat, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 256 | |
| 2 | 2017 | 59 | |
| 3 | 2015 | 57 | |
| 4 | 2014 | 53 | |
| 5 | 2002 | 44 | |
| 6 | 2010 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2018 | 40 | |
| 9 | 2022 | 38 | |
| 10 | 2023 | 37 | |
| 11 | 2018 | 36 | |
| 12 | 2019 | 30 | |
| 13 | 2023 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2006 | 19 | |
| 16 | 2024 | 18 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2017 | 8 | |
| 20 | 2019 | 7 |
About John A. Bernat
John A. Bernat is a scholar working on Physiology, Clinical Biochemistry, Genetics, Pathology and Forensic Medicine and Genetics, having authored 45 papers that have together received 901 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (20 papers), Metabolism and Genetic Disorders (4 papers), Genomics and Rare Diseases (4 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Chromatin Dynamics (2 papers), Breast Lesions and Carcinomas (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Child Abuse and Related Trauma (1 paper). The work is most often cited by research in Hematology (97 citations), Physiology (153 citations), Cell Biology (73 citations), Genetics (156 citations) and Pathology and Forensic Medicine (45 citations). John A. Bernat has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David B. Ginsburg, Bin Zhang, Gilbert White, Norma B de Bosch, Uri Seligsohn, Steven W. Pipe, Randal J. Kaufman, John H. McVey, Arlette Ruiz‐Sàez and Ursula Schulte-Overberg. Their work appears in journals such as Molecular Genetics and Metabolism, Genetics in Medicine, Human Molecular Genetics, Nature Communications and Cytotherapy.
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.