Wiener As

45 papers and 253 indexed citations i.

About

Wiener As is a scholar working on Hematology, Genetics and Physiology. According to data from OpenAlex, Wiener As has authored 45 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 15 papers in Genetics and 14 papers in Physiology. Recurrent topics in Wiener As’s work include Blood groups and transfusion (25 papers), Erythrocyte Function and Pathophysiology (13 papers) and Diabetes and associated disorders (11 papers). Wiener As is often cited by papers focused on Blood groups and transfusion (25 papers), Erythrocyte Function and Pathophysiology (13 papers) and Diabetes and associated disorders (11 papers). Wiener As collaborates with scholars based in United States. Wiener As's co-authors include J. Moor‐Jankowski, John S. Kauer, E.P. Köster, Bert Ph. M. Menco, Wendell H. Niemann, Lawrence Cohen, Helen Morrison, Mark Morrison, Leslie Burnett and Dawn Dolan and has published in prestigious journals such as Chemical Senses and PubMed.

In The Last Decade

Co-authorship network of co-authors of Wiener As i

Fields of papers citing papers by Wiener As

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wiener As

Since Specialization
Citations

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