Tomas Ganz

451 papers and 64.8k indexed citations i.

About

Tomas Ganz is a scholar working on Hematology, Genetics and Microbiology. According to data from OpenAlex, Tomas Ganz has authored 451 papers receiving a total of 64.8k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Hematology, 193 papers in Genetics and 174 papers in Microbiology. Recurrent topics in Tomas Ganz’s work include Iron Metabolism and Disorders (226 papers), Hemoglobinopathies and Related Disorders (191 papers) and Antimicrobial Peptides and Activities (173 papers). Tomas Ganz is often cited by papers focused on Iron Metabolism and Disorders (226 papers), Hemoglobinopathies and Related Disorders (191 papers) and Antimicrobial Peptides and Activities (173 papers). Tomas Ganz collaborates with scholars based in United States, Italy and France. Tomas Ganz's co-authors include Elizabeta Nemeth, Robert I. Lehrer, Erika V. Valore, Michael E. Selsted, Victoria Gabayan, Seth Rivera, Jerry Kaplan, Alan Lichtenstein, Michael B. Vaughn and Sarah Taudorf and has published in prestigious journals such as Science, Cell and New England Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Tomas Ganz i

Fields of papers citing papers by Tomas Ganz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomas Ganz

Since Specialization
Citations

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