David J. Sieg
- Immunology and Allergy top 0.1%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Cancer Research top 5%
- Oncology top 5%
- Co-authors
- David D. SchlaepferChristof R. HauckErik SchaeferDuško IlićCaroline H. DamskyXiang-Dong RenMartin A. SchwartzCarol Otey
- Topics
- Cell Adhesion Molecules Research (7 papers)Cellular Mechanics and Interactions (6 papers)Protease and Inhibitor Mechanisms (4 papers)
- Partner nations
- United States
In The Last Decade
David J. Sieg
10 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology and Allergy 2.3k
- Molecular Biology 1.8k
- Cell Biology 1.6k
- Cancer Research 591
- Oncology 578
Countries citing papers authored by David J. Sieg
This map shows the geographic impact of David J. Sieg'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 David J. Sieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Sieg more than expected).
Fields of papers citing papers by David J. Sieg
This network shows the impact of papers produced by David J. Sieg. 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 David J. Sieg. The network helps show where David J. Sieg may publish in the future.
Co-authorship network of co-authors of David J. Sieg
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Sieg. A scholar is included among the top collaborators of David J. Sieg 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 David J. Sieg. David J. Sieg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inhibition of focal adhesion kinase expression or activity disrupts epidermal growth factor-stimulated signaling promoting the migration of invasive human carcinoma cells. | 226 |
| 2 | 379 | |
| 3 | FAK integrates growth-factor and integrin signals to promote cell | 4 |
| 4 | FAK integrates growth-factor and integrin signals to promote cell migrationbreakdown → | 1065 |
| 5 | Signaling through focal adhesion kinasebreakdown → | 1007 |
| 6 | Required role of focal adhesion kinase (FAK) for integrin-stimulated cell migrationbreakdown → | 580 |
| 7 | 294 | |
| 8 | 21 | |
| 9 | 65 | |
| 10 | 27 |
About David J. Sieg
David J. Sieg is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 10 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Cellular Mechanics and Interactions (6 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology and Allergy (2.3k citations), Cell Biology (1.6k citations) and Cancer Research (591 citations). David J. Sieg has collaborated with scholars based in United States. Frequent co-authors include David D. Schlaepfer, Christof R. Hauck, Erik Schaefer, Duško Ilić, Caroline H. Damsky, Xiang-Dong Ren, Martin A. Schwartz, Carol Otey, William B. Kiosses and Datsun A. Hsia. Their work appears in journals such as The EMBO Journal, Nature Cell Biology and Journal of Cell Science.
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.