Debra Compton
- Cancer Research top 0.5%
- Immunology and Allergy top 1%
- Molecular Biology top 1%
- Angiogenesis and VEGF in Cancer 3
- Muscle Physiology and Disorders 2
- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- Chemical Synthesis and Analysis 1
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- Neuropeptides and Animal Physiology 3
- Nerve injury and regeneration 2
- Developmental Neuroscience top 2%
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- Peptidase Inhibition and Analysis 2
- Co-authors
- George D. YancopoulosPeter C. MaisonpierreStanley J. WiegandSamuel DavisPamela F. JonesCzeslaw RadziejewskiThomas H. AldrichChitra Suri
- Partner nations
- United States
In The Last Decade
Debra Compton
13 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 1.9k
- Immunology and Allergy 512
- Molecular Biology 5.8k
- Cellular and Molecular Neuroscience 1.3k
- Developmental Neuroscience 276
Countries citing papers authored by Debra Compton
This map shows the geographic impact of Debra Compton'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 Debra Compton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Compton more than expected).
Fields of papers citing papers by Debra Compton
This network shows the impact of papers produced by Debra Compton. 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 Debra Compton. The network helps show where Debra Compton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Debra Compton, 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 | 1999 | 263 | |
| 2 | Vessel Cooption, Regression, and Growth in Tumors Mediated by Angiopoietins and VEGFbreakdown → | 1999 | 1749 |
| 3 | Angiopoietin-2, a Natural Antagonist for Tie2 That Disrupts in vivo Angiogenesisbreakdown → | 1997 | 2842 |
| 4 | 1996 | 123 | |
| 5 | Isolation of Angiopoietin-1, a Ligand for the TIE2 Receptor, by Secretion-Trap Expression Cloningbreakdown → | 1996 | 1595 |
| 6 | The Receptor Tyrosine Kinase MuSK Is Required for Neuromuscular Junction Formation In Vivobreakdown → | 1996 | 749 |
| 7 | 1995 | 183 | |
| 8 | 1995 | 345 | |
| 9 | 1994 | 94 | |
| 10 | 1992 | 27 | |
| 11 | 1992 | 30 | |
| 12 | 1990 | 22 | |
| 13 | 1990 | 10 |
About Debra Compton
Debra Compton is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 13 papers that have together received 8.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Neuropeptides and Animal Physiology (3 papers), Muscle Physiology and Disorders (2 papers), TGF-β signaling in diseases (2 papers), Nerve injury and regeneration (2 papers), Peptidase Inhibition and Analysis (2 papers), RNA Research and Splicing (2 papers) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Cancer Research (1.9k citations), Immunology and Allergy (512 citations) and Molecular Biology (5.8k citations). Debra Compton has collaborated with scholars based in United States. Frequent co-authors include George D. Yancopoulos, Peter C. Maisonpierre, Stanley J. Wiegand, Samuel Davis, Pamela F. Jones, Czeslaw Radziejewski, Thomas H. Aldrich, Chitra Suri, Jocelyn Holash and Patrick A. Boland. Their work appears in journals such as Molecular and Cellular Biology, Science, Cell, Neuron and Neuroscience.
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.