Tina Green

30 papers and 1.3k indexed citations i.

About

Tina Green is a scholar working on Epidemiology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Tina Green has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 8 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Tina Green’s work include Chronic Lymphocytic Leukemia Research (5 papers), Cervical Cancer and HPV Research (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Tina Green is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Cervical Cancer and HPV Research (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Tina Green collaborates with scholars based in United States, United Kingdom and Denmark. Tina Green's co-authors include Michael Møller, Zijun Y. Xu‐Monette, Ken H. Young, Ole Nielsen, Joseph M. Antonello, Ronald S. Go, Carlo Visco, Torben Mourits‐Andersen, Attilio Orazi and Ole Gadeberg and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Tina Green i

Fields of papers citing papers by Tina Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tina Green

Since Specialization
Citations

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).

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.

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