Dianne Cox
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
-
- Cell Adhesion Molecules Research 26
- Cell Biology 34
- Cellular Mechanics and Interactions 28
- Cellular transport and secretion 10
- Co-authors
- Steven M. GreenbergJohn S. CondeelisMichael CammerVeronika MiskolciHaein ParkQing ZhangJeffrey WyckoffJeffrey E. Segall
- Journals
- Journal of Biological Chemistry (8 papers)Journal of Cell Science (5 papers)Cancer Research (3 papers)PLoS ONE (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Dianne Cox
71 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology and Allergy 712
- Cell Biology 1.6k
- Immunology 2.0k
- Oncology 1.0k
- Molecular Biology 2.1k
Countries citing papers authored by Dianne Cox
This map shows the geographic impact of Dianne Cox'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 Dianne Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianne Cox more than expected).
Fields of papers citing papers by Dianne Cox
This network shows the impact of papers produced by Dianne Cox. 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 Dianne Cox. The network helps show where Dianne Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianne Cox, 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 | 2025 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2017 | 104 | |
| 4 | 2015 | 94 | |
| 5 | 2015 | 80 | |
| 6 | Invasive breast carcinoma cells from patients exhibit Mena[superscript INV]- and macrophage-dependent transendothelial migration | 2014 | 1 |
| 7 | 2014 | 8 | |
| 8 | 2014 | 4 | |
| 9 | 2012 | 95 | |
| 10 | 2011 | 24 | |
| 11 | 2010 | 18 | |
| 12 | 2010 | 49 | |
| 13 | 2009 | 96 | |
| 14 | 2009 | 178 | |
| 15 | Macrophages Promote the Invasion of Breast Carcinoma Cells via a Colony-Stimulating Factor-1/Epidermal Growth Factor Paracrine Loop Hit paper breakdown → | 2005 | 585 |
| 16 | 2001 | 78 | |
| 17 | 1999 | 334 | |
| 18 | 1996 | 87 | |
| 19 | 1996 | 55 | |
| 20 | 1994 | 20 |
About Dianne Cox
Dianne Cox is a scholar working on Immunology and Allergy, Cell Biology, Immunology, Oncology and Applied Microbiology and Biotechnology, having authored 71 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (28 papers), Cell Adhesion Molecules Research (26 papers), Immune cells in cancer (11 papers), Cellular transport and secretion (10 papers), Cancer Cells and Metastasis (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), 3D Printing in Biomedical Research (6 papers) and Chemokine receptors and signaling (6 papers). The work is most often cited by research in Immunology and Allergy (712 citations), Cell Biology (1.6k citations), Immunology (2.0k citations), Oncology (1.0k citations) and Molecular Biology (2.1k citations). Dianne Cox has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Steven M. Greenberg, John S. Condeelis, Michael Cammer, Veronika Miskolci, Haein Park, Qing Zhang, Jeffrey Wyckoff, Jeffrey E. Segall, Athanassios Dovas and Benjamin M. Dale. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Cancer Research, PLoS ONE and The Journal of Experimental Medicine.
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.