Martin Becker

15 papers and 493 indexed citations i.

About

Martin Becker is a scholar working on Genetics, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Martin Becker has authored 15 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Pathology and Forensic Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Martin Becker’s work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Advanced Breast Cancer Therapies (3 papers). Martin Becker is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Advanced Breast Cancer Therapies (3 papers). Martin Becker collaborates with scholars based in Germany, Austria and Italy. Martin Becker's co-authors include Peter Klein, Liana Gercheva, Raoul Herbrecht, Ali Aldaoud, Vesselina Goranova‐Marinova, Wolfgang Knauf, Françoise Huguet, K Merkle, Gerhard Postner and Marco Montillo and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

Co-authorship network of co-authors of Martin Becker i

Fields of papers citing papers by Martin Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Becker

Since Specialization
Citations

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