Tony G. Willis

17 papers and 1.8k indexed citations i.

About

Tony G. Willis is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Tony G. Willis has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Tony G. Willis’s work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (7 papers) and NF-κB Signaling Pathways (4 papers). Tony G. Willis is often cited by papers focused on Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (7 papers) and NF-κB Signaling Pathways (4 papers). Tony G. Willis collaborates with scholars based in United Kingdom, Germany and Belgium. Tony G. Willis's co-authors include Martin J.S. Dyer, Iwona Włodarska, Ming‐Qing Du, Peter G. Isaacson, Loraine Karran, Helen P. Price, Munah Abdul-Rauf, Rifat Hamoudi, Huaizheng Peng and Dalal Jadayel and has published in prestigious journals such as Cell, Blood and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Tony G. Willis i

Fields of papers citing papers by Tony G. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony G. Willis. 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 Tony G. Willis. The network helps show where Tony G. Willis may publish in the future.

Countries citing papers authored by Tony G. Willis

Since Specialization
Citations

This map shows the geographic impact of Tony G. Willis'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 Tony G. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony G. Willis 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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