Patricia M. Zerfas
- Molecular Biology top 5%
- Physiology top 5%
- Epidemiology top 5%
- Hematology top 2%
- Genetics top 2%
- Co-authors
- Chu‐Xia DengMichael EckhausSharon CoopermanCuiying XiaoXiaoling XuCuiling LiRui-Hong WangZheng Yin
- Topics
- Mitochondrial Function and Pathology (6 papers)Metabolism and Genetic Disorders (6 papers)RNA regulation and disease (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Patricia M. Zerfas
61 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.6k
- Physiology 660
- Epidemiology 511
- Hematology 507
- Genetics 435
Countries citing papers authored by Patricia M. Zerfas
This map shows the geographic impact of Patricia M. Zerfas'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 Patricia M. Zerfas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia M. Zerfas more than expected).
Fields of papers citing papers by Patricia M. Zerfas
This network shows the impact of papers produced by Patricia M. Zerfas. 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 Patricia M. Zerfas. The network helps show where Patricia M. Zerfas may publish in the future.
Co-authorship network of co-authors of Patricia M. Zerfas
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia M. Zerfas. A scholar is included among the top collaborators of Patricia M. Zerfas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia M. Zerfas. Patricia M. Zerfas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 39 | |
| 7 | 11 | |
| 8 | 132 | |
| 9 | 53 | |
| 10 | 27 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 17 | |
| 14 | 129 | |
| 15 | Protection from Obesity and Diabetes by Blockade of TGF-β/Smad3 Signalingbreakdown → | 553 |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 128 | |
| 19 | 78 | |
| 20 | 22 |
About Patricia M. Zerfas
Patricia M. Zerfas is a scholar working on Clinical Biochemistry, Physiology and Hematology, having authored 62 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (6 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Hematology (507 citations), Genetics (435 citations) and Clinical Biochemistry (188 citations). Patricia M. Zerfas has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chu‐Xia Deng, Michael Eckhaus, Sharon Cooperman, Cuiying Xiao, Xiaoling Xu, Cuiling Li, Rui-Hong Wang, Zheng Yin, Lopa Mishra and Tracey A. Rouault. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.