Deborah J. Veis
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Stanley J. KorsmeyerJohn R. ShutterChristine M. SorensonDiane E. MerryZoltán N. OltvaiS J KorsmeyerWilliam F. HickeyErika A Bach
- Topics
- Bone Metabolism and Diseases (9 papers)NF-κB Signaling Pathways (5 papers)Cytokine Signaling Pathways and Interactions (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Deborah J. Veis
43 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.3k
- Immunology 1.1k
- Oncology 707
- Cancer Research 407
- Cellular and Molecular Neuroscience 373
Countries citing papers authored by Deborah J. Veis
This map shows the geographic impact of Deborah J. Veis'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 J. Veis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah J. Veis more than expected).
Fields of papers citing papers by Deborah J. Veis
This network shows the impact of papers produced by Deborah J. Veis. 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 J. Veis. The network helps show where Deborah J. Veis may publish in the future.
Co-authorship network of co-authors of Deborah J. Veis
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah J. Veis. A scholar is included among the top collaborators of Deborah J. Veis 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 J. Veis. Deborah J. Veis 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 | Senescent CAFs Mediate Immunosuppression and Drive Breast Cancer Progressionbreakdown → | 75 |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 40 | |
| 9 | 35 | |
| 10 | 16 | |
| 11 | 89 | |
| 12 | 53 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | Osteoclasts serve as an intracellular niche for replicating Staphylococcus aureus | 1 |
| 18 | 18 | |
| 19 | 1 | |
| 20 | Bcl-2-deficient mice demonstrate fulminant lymphoid apoptosis, polycystic kidneys, and hypopigmented hairbreakdown → | 1345 |
About Deborah J. Veis
Deborah J. Veis is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 43 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), NF-κB Signaling Pathways (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Immunology (1.1k citations), Developmental Neuroscience (150 citations) and Molecular Biology (2.3k citations). Deborah J. Veis has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Stanley J. Korsmeyer, John R. Shutter, Christine M. Sorenson, Diane E. Merry, Zoltán N. Oltvai, S J Korsmeyer, William F. Hickey, Erika A Bach, Charles L. Sentman and Charles A. O’Brien. Their work appears in journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.
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.