Tina Green
- Pathology and Forensic Medicine top 2%
- Epidemiology top 5%
- Oncology top 10%
- Genetics top 5%
- Immunology
- Co-authors
- Michael MøllerKen H. YoungZijun Y. Xu‐MonetteOle NielsenJoseph M. AntonelloCarlo ViscoAttilio OraziMikael Frederiksen
- Topics
- Chronic Lymphocytic Leukemia Research (6 papers)Cervical Cancer and HPV Research (5 papers)Lymphoma Diagnosis and Treatment (5 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Tina Green
30 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Pathology and Forensic Medicine 577
- Epidemiology 479
- Oncology 419
- Genetics 325
- Immunology 215
Countries citing papers authored by Tina Green
This map shows the geographic impact of Tina Green'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 Tina Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Green more than expected).
Fields of papers citing papers by Tina Green
This network shows the impact of papers produced by Tina Green. 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 Tina Green. The network helps show where Tina Green may publish in the future.
Co-authorship network of co-authors of Tina Green
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Green. A scholar is included among the top collaborators of Tina Green 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 Tina Green. Tina Green 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 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 36 | |
| 7 | 56 | |
| 8 | 3 | |
| 9 | 112 | |
| 10 | Immunohistochemical Double-Hit Score Is a Strong Predictor of Outcome in Patients With Diffuse Large B-Cell Lymphoma Treated With Rituximab Plus Cyclophosphamide, Doxorubicin, Vincristine, and Prednisonebreakdown → | 481 |
| 11 | Diffuse Large B-Cell Lymphoma: Expression patterns of Cdc6 and its correlation with subtypes, Ki67 and structural changes of the INK4/ARF locus | 1 |
| 12 | 55 | |
| 13 | 10 | |
| 14 | 69 | |
| 15 | 16 | |
| 16 | 42 | |
| 17 | 204 | |
| 18 | 24 | |
| 19 | 3 | |
| 20 | 5 |
About Tina Green
Tina Green is a scholar working on Genetics, Pathology and Forensic Medicine and Epidemiology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Cervical Cancer and HPV Research (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (577 citations), Genetics (325 citations) and Oncology (419 citations). Tina Green has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michael Møller, Ken H. Young, Zijun Y. Xu‐Monette, Ole Nielsen, Joseph M. Antonello, Carlo Visco, Attilio Orazi, Mikael Frederiksen, Ronald S. Go and Ole Gadeberg. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
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.