H. Gamm

13 papers and 316 indexed citations i.

About

H. Gamm is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, H. Gamm has authored 13 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Pathology and Forensic Medicine and 5 papers in Immunology. Recurrent topics in H. Gamm’s work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Erythropoietin and Anemia Treatment (3 papers). H. Gamm is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Erythropoietin and Anemia Treatment (3 papers). H. Gamm collaborates with scholars based in Germany, Luxembourg and United States. H. Gamm's co-authors include Wolfgang Oster, Roland Mertelsmann, F. Ries, Thomas Brune, G. Zeile, Helen Chapel, A Lindemann, Gerd Müller, F. Herrmann and V Brennan and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Co-authorship network of co-authors of H. Gamm i

Fields of papers citing papers by H. Gamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by H. Gamm

Since Specialization
Citations

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