G. Giers

26 papers and 315 indexed citations i.

About

G. Giers is a scholar working on Hematology, Genetics and Physiology. According to data from OpenAlex, G. Giers has authored 26 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 8 papers in Genetics and 5 papers in Physiology. Recurrent topics in G. Giers’s work include Blood groups and transfusion (17 papers), Platelet Disorders and Treatments (14 papers) and Blood disorders and treatments (8 papers). G. Giers is often cited by papers focused on Blood groups and transfusion (17 papers), Platelet Disorders and Treatments (14 papers) and Blood disorders and treatments (8 papers). G. Giers collaborates with scholars based in Germany, United States and Switzerland. G. Giers's co-authors include Tilman Sauerbruch, G. Jung, Ulrich Spengler, Martin Lechmann, Rolf Kaiser, B. Matz, I Braunschweiger, C. Mueller‐Eckhardt, R. Bald and Peter Hanfland and has published in prestigious journals such as Hepatology, British Journal of Haematology and Transfusion.

In The Last Decade

Co-authorship network of co-authors of G. Giers i

Fields of papers citing papers by G. Giers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Giers

Since Specialization
Citations

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