AI Schafer

36 papers and 2.9k indexed citations i.

About

AI Schafer is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Physiology. According to data from OpenAlex, AI Schafer has authored 36 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 14 papers in Hematology and 12 papers in Physiology. Recurrent topics in AI Schafer’s work include Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Nitric Oxide and Endothelin Effects (12 papers) and Platelet Disorders and Treatments (9 papers). AI Schafer is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Nitric Oxide and Endothelin Effects (12 papers) and Platelet Disorders and Treatments (9 papers). AI Schafer collaborates with scholars based in United States, Germany and Italy. AI Schafer's co-authors include MH Kroll, J. D. Hellums, JL Moake, LV McIntire, RI Handin, William Durante, Barry Cooper, Nicolaos Christodoulides, Donald S. O’Hara and Carina Wagner and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of AI Schafer i

Fields of papers citing papers by AI Schafer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by AI Schafer

Since Specialization
Citations

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