Barry Cukor
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
Papers in
- Oncology 4
- Cancer-related Molecular Pathways 4
-
- Ubiquitin and proteasome pathways 2
- Protein Tyrosine Phosphatases 1
- Co-authors
- Massimo Loda (7 shared papers)Michele Pagano (3 shared papers)Philip T. Lavin (2 shared papers)Sun W. Tam (1 shared paper)J. Milburn Jessup (1 shared paper)Blake Cady (2 shared papers)Molly Wanner (1 shared paper)Cristina Magi‐Galluzzi (1 shared paper)
- Journals
- Nature Medicine (1 paper)Diseases of the Colon & Rectum (1 paper)Gastrointestinal Endoscopy (1 paper)Human Pathology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesItalyBrazil
In The Last Decade
Barry Cukor
8 papers receiving 1.5k citations
Barry Cukor's Hit Papers
Peers
Comparison fields: 5 of 65
- Oncology 1.0k
- Cancer Research 200
- Molecular Biology 836
- Biotechnology 99
- Cell Biology 175
Countries citing papers authored by Barry Cukor
This map shows the geographic impact of Barry Cukor'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 Barry Cukor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Cukor more than expected).
Fields of papers citing papers by Barry Cukor
This network shows the impact of papers produced by Barry Cukor. 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 Barry Cukor. The network helps show where Barry Cukor may publish in the future.
Co-authors
The 25 scholars most cited alongside Barry Cukor, 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 | Increased proteasome-dependent degradation of the cyclin-dependent kinase inhibitor p27 in aggressive colorectal carcinomas Hit paper breakdown → | 1997 | 911 |
| 2 | The cell cycle inhibitor p27 is an independent prognostic marker in small (T1a,b) invasive breast carcinomas. | 1997 | 298 |
| 3 | 2000 | 188 | |
| 4 | Acquired expression of p27 is a favorable prognostic indicator in patients with hepatocellular carcinoma. | 2000 | 65 |
| 5 | 1994 | 42 | |
| 6 | Androgen receptor immunohistochemistry on paraffin-embedded tissue. | 1994 | 25 |
| 7 | 1995 | 22 | |
| 8 | 1995 | 3 | |
| 9 | 2008 | 0 |
About Barry Cukor
Barry Cukor is a scholar working on Oncology, Molecular Biology, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (2 papers), Digestive system and related health (2 papers), Prostate Cancer Treatment and Research (1 paper), Genetic Syndromes and Imprinting (1 paper), Microtubule and mitosis dynamics (1 paper), Protein Tyrosine Phosphatases (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Oncology (1.0k citations), Cancer Research (200 citations), Molecular Biology (836 citations), Biotechnology (99 citations) and Cell Biology (175 citations). Barry Cukor has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Massimo Loda, Michele Pagano, Philip T. Lavin, Sun W. Tam, J. Milburn Jessup, Blake Cady, Molly Wanner, Cristina Magi‐Galluzzi, Peter J. Worland and Giulio Draetta. Their work appears in journals such as Nature Medicine, Diseases of the Colon & Rectum, Gastrointestinal Endoscopy, Human Pathology and Journal of Clinical Investigation.
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.