This map shows the geographic impact of research published in Amyloid. 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 Amyloid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amyloid more than expected).
This network shows the impact of papers published in Amyloid. 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 Amyloid.
About Amyloid
The 1.5k papers published in Amyloid in the last decades have received a total of 33.0k indexed citations . Papers published in Amyloid usually cover Nephrology (212 papers), Molecular Biology (1.4k papers), Physiology (421 papers), Cell Biology (178 papers) and Genetics (101 papers) specifically the topics of Amyloidosis: Diagnosis, Treatment, Outcomes (1.3k papers), Alzheimer's disease research and treatments (373 papers), Parathyroid Disorders and Treatments (181 papers), Dermatological and Skeletal Disorders (135 papers), Protein Kinase Regulation and GTPase Signaling (124 papers), Cellular transport and secretion (99 papers), Drug Transport and Resistance Mechanisms (97 papers) and Trace Elements in Health (97 papers). The most active scholars publishing in Amyloid are Merrill Douglas Benson, Per Westermark, Giampaolo Merlini, Joel N. Buxbaum, Maria João Saraiva, Jean D. Sipe, Harry LeVine, Yoshiki Sekijima, David B. Teplow and Ole Bernt Suhr.
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.