Camilla Pramfalk

61 total papers · 1.1k total citations
35 papers, 903 citations indexed

About

Camilla Pramfalk is a scholar working on Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Camilla Pramfalk has authored 35 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 13 papers in Epidemiology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Camilla Pramfalk's work include Liver Disease Diagnosis and Treatment (12 papers), Lipid metabolism and biosynthesis (12 papers) and Cholesterol and Lipid Metabolism (12 papers). Camilla Pramfalk is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Lipid metabolism and biosynthesis (12 papers) and Cholesterol and Lipid Metabolism (12 papers). Camilla Pramfalk collaborates with scholars based in Sweden, United Kingdom and United States. Camilla Pramfalk's co-authors include Paolo Parini, Leanne Hodson, Mats Eriksson, Charlotte Green, Fredrik Karpe, Michael Pavlides, Matteo Pedrelli, Catriona McNeil, Pippa J. Gunn and Rajarshi Banerjee and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Camilla Pramfalk

34 papers receiving 895 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Camilla Pramfalk 319 316 312 275 185 35 903
Rita Kohen Avramoglu 317 1.0× 277 0.9× 253 0.8× 373 1.4× 217 1.2× 21 1.0k
Mayumi Ishikawa 403 1.3× 168 0.5× 298 1.0× 308 1.1× 150 0.8× 36 879
Battsetseg Batchuluun 206 0.6× 207 0.7× 183 0.6× 416 1.5× 198 1.1× 22 964
Adriana Branchi 360 1.1× 320 1.0× 299 1.0× 154 0.6× 170 0.9× 40 999
Robert N. Helsley 175 0.5× 210 0.7× 134 0.4× 324 1.2× 184 1.0× 35 902
A. van Tol 371 1.2× 137 0.4× 266 0.9× 362 1.3× 159 0.9× 28 938
Narjes Nasiri‐Ansari 412 1.3× 446 1.4× 229 0.7× 298 1.1× 127 0.7× 35 982
Leela Goodspeed 167 0.5× 401 1.3× 179 0.6× 315 1.1× 286 1.5× 24 950
Jheem D. Medh 147 0.5× 178 0.6× 199 0.6× 322 1.2× 93 0.5× 29 848
Emmanuelle Vallez 251 0.8× 307 1.0× 293 0.9× 410 1.5× 259 1.4× 29 990

Countries citing papers authored by Camilla Pramfalk

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Pramfalk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Pramfalk

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Pramfalk. A scholar is included among the top collaborators of Camilla Pramfalk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Camilla Pramfalk. Camilla Pramfalk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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