Protein carbamylation links inflammation, smoking, uremia and atherogenesis
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1637 →Countries where authors are citing Protein carbamylation links inflammation, smoking, uremia and atherogenesis
This map shows the geographic impact of Protein carbamylation links inflammation, smoking, uremia and atherogenesis. 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 Protein carbamylation links inflammation, smoking, uremia and atherogenesis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Protein carbamylation links inflammation, smoking, uremia and atherogenesis more than expected).
Fields of papers citing Protein carbamylation links inflammation, smoking, uremia and atherogenesis
This network shows the impact of Protein carbamylation links inflammation, smoking, uremia and atherogenesis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Protein carbamylation links inflammation, smoking, uremia and atherogenesis.
About Protein carbamylation links inflammation, smoking, uremia and atherogenesis
This paper, published in 2007, received 544 indexed citations . Written by Zeneng Wang, Stephen J. Nicholls, E. René Rodríguez, Outi Kummu, Sohvi Hörkkö, John Barnard, Wanda F. Reynolds, Eric J. Topol, Joseph A. DiDonato and Stanley L. Hazen covering the research area of Immunology, Molecular Biology and Clinical Biochemistry. It is primarily cited by scholars working on Immunology (166 citations), Molecular Biology (118 citations) and Rheumatology (97 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/nm1637.