Expert Review of Hematology

1.3k papers and 16.4k indexed citations i.

About

The 1.3k papers published in Expert Review of Hematology in the last decades have received a total of 16.4k indexed citations. Papers published in Expert Review of Hematology usually cover Hematology (783 papers), Genetics (479 papers) and Oncology (272 papers) specifically the topics of Lymphoma Diagnosis and Treatment (215 papers), Chronic Lymphocytic Leukemia Research (188 papers) and Acute Myeloid Leukemia Research (181 papers). The most active scholars publishing in Expert Review of Hematology are E. Carlos Rodríguez‐Merchán, Theodore E. Warkentin, Hans Carl Hasselbalch, Sharon A. Savage, Donna S. Woulfe, Hassan Mansouritorghabeh, Mehrdad Rostami, Marc Michel, Ravi Bhatia and David H. Manz.

In The Last Decade

Fields of papers published in Expert Review of Hematology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Expert Review of 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 Expert Review of Hematology.

Countries where authors publish in Expert Review of Hematology

Since Specialization
Citations

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