GB Faguet

17 papers and 466 indexed citations i.

About

GB Faguet is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, GB Faguet has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 9 papers in Immunology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in GB Faguet’s work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). GB Faguet is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). GB Faguet collaborates with scholars based in United States. GB Faguet's co-authors include PJ Fialkow, RJ Jacobson, S Murphy, Hugh Davis and K. L. Satya‐Prakash and has published in prestigious journals such as Blood.

In The Last Decade

Co-authorship network of co-authors of GB Faguet i

Fields of papers citing papers by GB Faguet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by GB Faguet. 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 GB Faguet. The network helps show where GB Faguet may publish in the future.

Countries citing papers authored by GB Faguet

Since Specialization
Citations

This map shows the geographic impact of GB Faguet'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 GB Faguet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GB Faguet 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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2025