Debra J. Meyer
Impact in
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- FOXO transcription factor regulation 1
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- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Jessica Schwartz (4 shared papers)George S. Campbell (4 shared papers)Christin Carter‐Su (4 shared papers)Ben Margolis (4 shared papers)Andrew C. Larner (1 shared paper)Chao‐Lan Yu (1 shared paper)Richard Jove (1 shared paper)Bruce J. Schnapp (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Neuron (1 paper)Pediatric Research (1 paper)Science (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Debra J. Meyer
8 papers receiving 1.9k citations
Debra J. Meyer's Hit Papers
Peers
Comparison fields: 5 of 85
- Oncology 804
- Cell Biology 436
- Molecular Biology 1.1k
- Immunology 307
- Cancer Research 204
Countries citing papers authored by Debra J. Meyer
This map shows the geographic impact of Debra J. Meyer'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 J. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra J. Meyer more than expected).
Fields of papers citing papers by Debra J. Meyer
This network shows the impact of papers produced by Debra J. Meyer. 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 J. Meyer. The network helps show where Debra J. Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra J. Meyer, 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 | Enhanced DNA-Binding Activity of a Stat3-Related Protein in Cells Transformed by the Src Oncoprotein Hit paper breakdown → | 1995 | 815 |
| 2 | Cargo of Kinesin Identified as Jip Scaffolding Proteins and Associated Signaling Molecules Hit paper breakdown → | 2001 | 503 |
| 3 | 2002 | 176 | |
| 4 | 1995 | 159 | |
| 5 | 1999 | 110 | |
| 6 | 1997 | 63 | |
| 7 | 1999 | 63 | |
| 8 | 1998 | 33 | |
| 9 | 1993 | 0 |
About Debra J. Meyer
Debra J. Meyer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Surgery and Toxicology, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Melanoma and MAPK Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), FOXO transcription factor regulation (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Oncology (804 citations), Cell Biology (436 citations), Molecular Biology (1.1k citations), Immunology (307 citations) and Cancer Research (204 citations). Debra J. Meyer has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Jessica Schwartz, George S. Campbell, Christin Carter‐Su, Ben Margolis, Andrew C. Larner, Chao‐Lan Yu, Richard Jove, Bruce J. Schnapp, Kristen J. Verhey and John Blenis. Their work appears in journals such as Journal of Biological Chemistry, Neuron, Pediatric Research, Science and The Journal of Cell 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.