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).
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.
About Hematology
The 2.5k papers published in Hematology in the last decades have received a total of 26.6k indexed citations . Papers published in Hematology usually cover Hematology (1.2k papers), Genetics (655 papers), Internal Medicine (46 papers), Pathology and Forensic Medicine (218 papers) and Immunology (263 papers) specifically the topics of Acute Myeloid Leukemia Research (328 papers), Hemoglobinopathies and Related Disorders (306 papers), Hematopoietic Stem Cell Transplantation (205 papers), Lymphoma Diagnosis and Treatment (180 papers), Platelet Disorders and Treatments (179 papers), Chronic Lymphocytic Leukemia Research (153 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (152 papers) and Multiple Myeloma Research and Treatments (149 papers). The most active scholars publishing in Hematology are John D. Shaughnessy, Massimo Franchini, Salah Aref, Basem Magdy William, Tadeusz Robak, Gino Roberto Corazza, Massimo Franchini, Guillermo Jose Ruiz-Argüelles, Yangqiu Li and M.A. Blajchman.
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.