M Gemperlé

27 papers and 685 indexed citations i.

About

M Gemperlé is a scholar working on Anesthesiology and Pain Medicine, Surgery and Developmental Neuroscience. According to data from OpenAlex, M Gemperlé has authored 27 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Anesthesiology and Pain Medicine, 6 papers in Surgery and 4 papers in Developmental Neuroscience. Recurrent topics in M Gemperlé’s work include Anesthesia and Sedative Agents (12 papers), Anesthesia and Neurotoxicity Research (4 papers) and Anesthesia and Pain Management (4 papers). M Gemperlé is often cited by papers focused on Anesthesia and Sedative Agents (12 papers), Anesthesia and Neurotoxicity Research (4 papers) and Anesthesia and Pain Management (4 papers). M Gemperlé collaborates with scholars based in Switzerland, United States and Australia. M Gemperlé's co-authors include Alain Forster, Peter M. Suter, J. P. Gardaz, Denis R. Morel, Bara Ricou, Zdravko Gamulin, Anna L. Bruckner, P Meyer, Ian M. Schwieger and P. M. Suter and has published in prestigious journals such as Pain, CHEST Journal and Anesthesiology.

In The Last Decade

Co-authorship network of co-authors of M Gemperlé i

Fields of papers citing papers by M Gemperlé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Gemperlé. 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 M Gemperlé. The network helps show where M Gemperlé may publish in the future.

Countries citing papers authored by M Gemperlé

Since Specialization
Citations

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