Nina Bailey
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Cellular Mechanics and Interactions
Papers in
-
- Metabolism, Diabetes, and Cancer 1
- TGF-β signaling in diseases 1
- Genetics 4
- Animal Genetics and Reproduction 2
- Digestive system and related health 2
- Co-authors
- Mina J. Bissell (3 shared papers)Charles Streuli (1 shared paper)Amy P.N. Skubitz (1 shared paper)Christian Schmidhauser (1 shared paper)Peter D. Yurchenco (1 shared paper)Calvin D. Roskelley (1 shared paper)Anthony R. Howlett (2 shared papers)Caroline H. Damsky (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Journal of Cell Science (2 papers)Apmis (1 paper)The Journal of Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nina Bailey
9 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology and Allergy 476
- Cell Biology 301
- Oncology 405
- Cancer Research 178
- Molecular Biology 610
Countries citing papers authored by Nina Bailey
This map shows the geographic impact of Nina Bailey'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 Nina Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Bailey more than expected).
Fields of papers citing papers by Nina Bailey
This network shows the impact of papers produced by Nina Bailey. 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 Nina Bailey. The network helps show where Nina Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Bailey, 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 | Control of mammary epithelial differentiation: basement membrane induces tissue-specific gene expression in the absence of cell-cell interaction and morphological polarity. Hit paper breakdown → | 1991 | 539 |
| 2 | 1995 | 334 | |
| 3 | 2006 | 177 | |
| 4 | 1995 | 172 | |
| 5 | 1997 | 45 | |
| 6 | 2002 | 23 | |
| 7 | 1996 | 6 | |
| 8 | 2017 | 1 | |
| 9 | 2005 | 1 |
About Nina Bailey
Nina Bailey is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Oncology and Surgery, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Animal Genetics and Reproduction (2 papers), Digestive system and related health (2 papers), Diabetes Management and Research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), TGF-β signaling in diseases (1 paper), Tea Polyphenols and Effects (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Immunology and Allergy (476 citations), Cell Biology (301 citations), Oncology (405 citations), Cancer Research (178 citations) and Molecular Biology (610 citations). Nina Bailey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mina J. Bissell, Charles Streuli, Amy P.N. Skubitz, Christian Schmidhauser, Peter D. Yurchenco, Calvin D. Roskelley, Charles Streuli, Anthony R. Howlett, Caroline H. Damsky and Ole W. Petersen. Their work appears in journals such as The Journal of Cell Biology, Journal of Cell Science, Apmis, The Journal of Immunology and Cancer Research.
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.