Deborah L. Chapman
- Molecular Biology top 2%
- Genetics top 2%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Oncology top 10%
- Co-authors
- Virginia E. PapaioannouArgiris EfstratiadisScott ZeitlinJeh-Ping LiuSarah HancockLee M. SilverThomas LudwigSergei I. Agulnik
- Topics
- Developmental Biology and Gene Regulation (16 papers)Congenital heart defects research (15 papers)Genomics and Chromatin Dynamics (7 papers)
- Partner nations
- United StatesAustraliaLatvia
In The Last Decade
Deborah L. Chapman
32 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 3.3k
- Genetics 950
- Cellular and Molecular Neuroscience 635
- Cell Biology 377
- Oncology 274
Countries citing papers authored by Deborah L. Chapman
This map shows the geographic impact of Deborah L. Chapman'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 Deborah L. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah L. Chapman more than expected).
Fields of papers citing papers by Deborah L. Chapman
This network shows the impact of papers produced by Deborah L. Chapman. 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 Deborah L. Chapman. The network helps show where Deborah L. Chapman may publish in the future.
Co-authorship network of co-authors of Deborah L. Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah L. Chapman. A scholar is included among the top collaborators of Deborah L. Chapman 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 Deborah L. Chapman. Deborah L. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 145 | |
| 3 | 56 | |
| 4 | 52 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 85 | |
| 9 | 49 | |
| 10 | 124 | |
| 11 | 47 | |
| 12 | 143 | |
| 13 | 224 | |
| 14 | 165 | |
| 15 | Expression of the T-box family genes,Tbx1-Tbx5, during early mouse developmentbreakdown → | 527 |
| 16 | Increased apoptosis and early embryonic lethality in mice nullizygous for the Huntington's disease gene homologuebreakdown → | 597 |
| 17 | 64 | |
| 18 | 46 | |
| 19 | 86 | |
| 20 | Glycosaminoglycans and the substrate attachment of murine myeloma, 3T3, and cutaneous fibrosarcoma cells. | 8 |
About Deborah L. Chapman
Deborah L. Chapman is a scholar working on Aging, Molecular Biology and Genetics, having authored 32 papers that have together received 3.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (16 papers), Congenital heart defects research (15 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cellular and Molecular Neuroscience (635 citations) and Aging (61 citations). Deborah L. Chapman has collaborated with scholars based in United States, Australia and Latvia. Frequent co-authors include Virginia E. Papaioannou, Argiris Efstratiadis, Scott Zeitlin, Jeh-Ping Liu, Sarah Hancock, Lee M. Silver, Thomas Ludwig, Sergei I. Agulnik, Nancy Garvey and Maria Alexiou. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.