Hematology

2.3k papers and 21.8k indexed citations i.

About

The 2.3k papers published in Hematology in the last decades have received a total of 21.8k indexed citations. Papers published in Hematology usually cover Hematology (1.4k papers), Genetics (811 papers) and Molecular Biology (500 papers) specifically the topics of Acute Myeloid Leukemia Research (399 papers), Hemoglobinopathies and Related Disorders (361 papers) and Hematopoietic Stem Cell Transplantation (248 papers). The most active scholars publishing in Hematology are John D. Shaughnessy, Massimo Franchini, Salah Aref, Basem M. William, Tadeusz Robak, Gino Roberto Corazza, Massimo Franchini, Yangqiu Li, Guillermo J. Ruíz‐Argüelles and Pier Mannuccio Mannucci.

In The Last Decade

Fields of papers published in Hematology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Hematology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Hematology.

Countries where authors publish in Hematology

Since Specialization
Citations

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