Experimental Hematology

3.9k papers and 108.9k indexed citations i.

About

The 3.9k papers published in Experimental Hematology in the last decades have received a total of 108.9k indexed citations. Papers published in Experimental Hematology usually cover Hematology (2.1k papers), Molecular Biology (1.5k papers) and Immunology (1.3k papers) specifically the topics of Hematopoietic Stem Cell Transplantation (1.0k papers), Acute Myeloid Leukemia Research (676 papers) and Immune Cell Function and Interaction (527 papers). The most active scholars publishing in Experimental Hematology are David G. Ginzinger, Robert Deans, Annemarie Moseley, G. David Roodman, Peiman Hematti, Tsvee Lapidot, Mervin C. Yöder, George Stamatoyannopoulos, Jaehyup Kim and Nicholas Dainiak.

In The Last Decade

Fields of papers published in Experimental Hematology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Experimental 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 Experimental Hematology.

Countries where authors publish in Experimental Hematology

Since Specialization
Citations

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