Normalization of obesity-associated insulin resistance through immunotherapy
Impact in
- Epidemiology 678
- Immunology 480
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.2001 →Countries where authors are citing Normalization of obesity-associated insulin resistance through immunotherapy
This map shows the geographic impact of Normalization of obesity-associated insulin resistance through immunotherapy. 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 Normalization of obesity-associated insulin resistance through immunotherapy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Normalization of obesity-associated insulin resistance through immunotherapy more than expected).
Fields of papers citing Normalization of obesity-associated insulin resistance through immunotherapy
This network shows the impact of Normalization of obesity-associated insulin resistance through immunotherapy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Normalization of obesity-associated insulin resistance through immunotherapy.
About Normalization of obesity-associated insulin resistance through immunotherapy
This paper, published in 2009, received 1.1k indexed citations . Written by Shawn Winer, Yin Chan, Geoffrey Paltser, Dorothy Truong, Hubert Tsui, Jasmine Bahrami, Ruslan Dorfman, Yongqian Wang, Julian Zielenski and Fabrizio G. Mastronardi covering the research area of Immunology, Epidemiology and Genetics. It is primarily cited by scholars working on Epidemiology (678 citations), Immunology (480 citations), Physiology (389 citations), Molecular Biology (146 citations) and Genetics (119 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.2001.