Michael G. Bayerl

48 papers and 638 indexed citations i.

About

Michael G. Bayerl is a scholar working on Pathology and Forensic Medicine, Oncology and Hematology. According to data from OpenAlex, Michael G. Bayerl has authored 48 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 15 papers in Oncology and 15 papers in Hematology. Recurrent topics in Michael G. Bayerl’s work include Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (9 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Michael G. Bayerl is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (9 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Michael G. Bayerl collaborates with scholars based in United States, China and Germany. Michael G. Bayerl's co-authors include David F. Claxton, W. Christopher Ehmann, Margarita Palutke, Sherrie L. Perkins, Giampaolo Talamo, Klaus F. Helm, Hong Zheng, Richard Bruggeman, Wenyi Zhang and Jason K. Kim and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and AJP Cell Physiology.

In The Last Decade

Co-authorship network of co-authors of Michael G. Bayerl i

Fields of papers citing papers by Michael G. Bayerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael G. Bayerl

Since Specialization
Citations

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