Pia Burman

99 papers and 5.2k indexed citations i.

About

Pia Burman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Pia Burman has authored 99 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Surgery and 14 papers in Genetics. Recurrent topics in Pia Burman’s work include Pituitary Gland Disorders and Treatments (58 papers), Growth Hormone and Insulin-like Growth Factors (48 papers) and Adrenal and Paraganglionic Tumors (21 papers). Pia Burman is often cited by papers focused on Pituitary Gland Disorders and Treatments (58 papers), Growth Hormone and Insulin-like Growth Factors (48 papers) and Adrenal and Paraganglionic Tumors (21 papers). Pia Burman collaborates with scholars based in Sweden, United States and The Netherlands. Pia Burman's co-authors include F. Anders Karlsson, Britt Edén Engström, F. Anders Karlsson, Ann Christin Lindgren, E. Martin Ritzén, Olaf M. Dekkers, Anna G. Johansson, Gérald Raverot, Sverker Ljunghall and Sven Mårdh and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and Endocrine Reviews.

In The Last Decade

Co-authorship network of co-authors of Pia Burman i

Fields of papers citing papers by Pia Burman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pia Burman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pia Burman. The network helps show where Pia Burman may publish in the future.

Countries citing papers authored by Pia Burman

Since Specialization
Citations

This map shows the geographic impact of Pia Burman's research. 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 Pia Burman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Burman more than expected).

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.

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