Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A

327 indexed citations
published 2020

Countries where authors are citing Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A

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This map shows the geographic impact of Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A. 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 Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A more than expected).

Fields of papers citing Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A.

About Multiyear Follow-up of AAV5-hFVIII-SQ Gene Therapy for Hemophilia A

This paper, published in 2020, received 327 indexed citations . Written by John Pasi, Savita Rangarajan, Nina Mitchell, Will Lester, Emily Symington, Bella Madan, Michael Laffan, Chris B. Russell, Mingjin Li and Glenn F. Pierce covering the research area of Genetics, Oncology and Hematology. It is primarily cited by scholars working on Genetics (189 citations), Molecular Biology (178 citations) and Hematology (139 citations). Published in New England Journal of Medicine.

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.

This paper is also available at doi.org/10.1056/nejmoa1908490.

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