Sonia Pearson‐White
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Cell Adhesion Molecules Research 5
-
- Muscle Physiology and Disorders 6
- RNA Research and Splicing 4
- Pluripotent Stem Cells Research 3
- TGF-β signaling in diseases 2
- Co-authors
- Charles P. EmersonDaniel NathansJames M. PipasKeith PedenKlaus LeyPJ QuesenberryRB CrittendenFM Stewart
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (3 papers)Nucleic Acids Research (3 papers)Blood (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesIsraelBulgaria
In The Last Decade
Sonia Pearson‐White
21 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 80
- Immunology and Allergy 328
- Hematology 262
- Immunology 367
- Molecular Biology 1.1k
- Oncology 373
Countries citing papers authored by Sonia Pearson‐White
This map shows the geographic impact of Sonia Pearson‐White'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 Sonia Pearson‐White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Pearson‐White more than expected).
Fields of papers citing papers by Sonia Pearson‐White
This network shows the impact of papers produced by Sonia Pearson‐White. 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 Sonia Pearson‐White. The network helps show where Sonia Pearson‐White may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sonia Pearson‐White, 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 | 2005 | 178 | |
| 2 | 2005 | 37 | |
| 3 | 2003 | 22 | |
| 4 | 2002 | 180 | |
| 5 | 2002 | 202 | |
| 6 | 2002 | 5 | |
| 7 | 2002 | 10 | |
| 8 | 1997 | 56 | |
| 9 | 1996 | 15 | |
| 10 | 1995 | 26 | |
| 11 | 1993 | 50 | |
| 12 | 1993 | 16 | |
| 13 | 1993 | 268 | |
| 14 | 1993 | 6 | |
| 15 | Conditional conversion of ES cells to skeletal muscle by an exogenous MyoD1 gene. | 1992 | 60 |
| 16 | The consequences of a constitutive expression of MyoD1 in ES cells and mouse embryos. | 1992 | 19 |
| 17 | 1991 | 17 | |
| 18 | 1988 | 231 | |
| 19 | 1987 | 23 | |
| 20 | 1987 | 33 |
About Sonia Pearson‐White
Sonia Pearson‐White is a scholar working on Immunology and Allergy, Molecular Biology, Physiology, Cancer Research and Hematology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Cell Adhesion Molecules Research (5 papers), Cardiomyopathy and Myosin Studies (4 papers), RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (3 papers), Virus-based gene therapy research (2 papers), TGF-β signaling in diseases (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Immunology and Allergy (328 citations), Hematology (262 citations), Immunology (367 citations), Molecular Biology (1.1k citations) and Oncology (373 citations). Sonia Pearson‐White has collaborated with scholars based in United States, Israel and Bulgaria. Frequent co-authors include Charles P. Emerson, Daniel Nathans, James M. Pipas, Keith Peden, Klaus Ley, PJ Quesenberry, RB Crittenden, FM Stewart, PA Lowry and J. Michael McDaniel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Nucleic Acids Research, Blood and Molecular and Cellular 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.