Lipid accumulation and dendritic cell dysfunction in cancer
Impact in
- Immunology 356
- Cancer Research 180
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.2172 →Countries where authors are citing Lipid accumulation and dendritic cell dysfunction in cancer
This map shows the geographic impact of Lipid accumulation and dendritic cell dysfunction in cancer. 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 Lipid accumulation and dendritic cell dysfunction in cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipid accumulation and dendritic cell dysfunction in cancer more than expected).
Fields of papers citing Lipid accumulation and dendritic cell dysfunction in cancer
This network shows the impact of Lipid accumulation and dendritic cell dysfunction in cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lipid accumulation and dendritic cell dysfunction in cancer.
About Lipid accumulation and dendritic cell dysfunction in cancer
This paper, published in 2010, received 575 indexed citations . Written by Donna L. Herber, Wei Cao, Yulia Nefedova, Sergey V. Novitskiy, Srinivas Nagaraj, Vladimir A. Tyurin, Hyun-Il Cho, Esteban Celis, Stella C. Knight and Tapan Padhya covering the research area of Immunology. It is primarily cited by scholars working on Immunology (356 citations), Cancer Research (180 citations), Molecular Biology (162 citations), Oncology (151 citations) and Epidemiology (46 citations). Published in Nature Medicine.
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/nm.2172.