Myeloid-derived suppressor cells in cancer and cancer therapy
Impact in
- Immunology 141
- Oncology 85
Classified as
Countries where authors are citing Myeloid-derived suppressor cells in cancer and cancer therapy
This map shows the geographic impact of Myeloid-derived suppressor cells in cancer and cancer therapy. 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 Myeloid-derived suppressor cells in cancer and cancer therapy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myeloid-derived suppressor cells in cancer and cancer therapy more than expected).
Fields of papers citing Myeloid-derived suppressor cells in cancer and cancer therapy
This network shows the impact of Myeloid-derived suppressor cells in cancer and cancer therapy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Myeloid-derived suppressor cells in cancer and cancer therapy.
About Myeloid-derived suppressor cells in cancer and cancer therapy
This paper, published in 2024, received 322 indexed citations . Written by Samantha Lasser, Feyza Gül Özbay Kurt, Ihor Arkhypov, Jochen Sven Utikal and Viktor Umansky covering the research area of Immunology and Oncology. It is primarily cited by scholars working on Immunology (141 citations), Oncology (85 citations), Molecular Biology (78 citations), Biomedical Engineering (41 citations) and Cancer Research (35 citations). Published in Nature Reviews Clinical Oncology.
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.
This paper is also available at doi.org/10.1038/s41571-023-00846-y.