Countries where authors publish in Hematological Oncology
Since Specialization
Citations
This map shows the geographic impact of research published in Hematological Oncology. 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 Hematological Oncology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hematological Oncology more than expected).
Fields of papers published in Hematological Oncology
This network shows the impact of papers published in Hematological Oncology. 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 Hematological Oncology.
About Hematological Oncology
The 2.5k papers published in Hematological Oncology in the last decades have received a total of 27.7k indexed citations . Papers published in Hematological Oncology usually cover Genetics (811 papers), Pathology and Forensic Medicine (1.3k papers), Hematology (630 papers), Oncology (982 papers) and Immunology (455 papers) specifically the topics of Lymphoma Diagnosis and Treatment (1.3k papers), Chronic Lymphocytic Leukemia Research (674 papers), CAR-T cell therapy research (345 papers), Viral-associated cancers and disorders (314 papers), Acute Myeloid Leukemia Research (263 papers), Acute Lymphoblastic Leukemia research (212 papers), CNS Lymphoma Diagnosis and Treatment (210 papers) and Multiple Myeloma Research and Treatments (202 papers). The most active scholars publishing in Hematological Oncology are Sattva S. Neelapu, S. Vincent Rajkumar, Pavan Reddy, Raymond Liang, Fernando Cabanillas, Davide Rossi, Gianluca Gaïdano, John Chan, Yok‐Lam Kwong and Risa B. Mann.
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.