Kaja Plucińska

40 total papers · 566 total citations
17 papers, 251 citations indexed

About

Kaja Plucińska is a scholar working on Physiology, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Kaja Plucińska has authored 17 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Kaja Plucińska's work include Adipose Tissue and Metabolism (11 papers), Regulation of Appetite and Obesity (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Kaja Plucińska is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Regulation of Appetite and Obesity (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Kaja Plucińska collaborates with scholars based in Denmark, United Kingdom and United States. Kaja Plucińska's co-authors include Bettina Platt, Gernot Riedel, David J. Koss, Brice Emanuelli, Sandra Stoppelkamp, Morten Lundh, Marie S. Isidor, Benjamin D. Drever, Lianne Robinson and Mirela Delibegović and has published in prestigious journals such as Nature, The FASEB Journal and Science Advances.

In The Last Decade

Kaja Plucińska

16 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Kaja Plucińska 152 87 46 38 33 17 251
Louyan Ma 113 0.7× 65 0.7× 57 1.2× 50 1.3× 21 0.6× 17 325
Lulin Nie 113 0.7× 120 1.4× 25 0.5× 39 1.0× 36 1.1× 19 314
Jing–tao Dou 100 0.7× 81 0.9× 38 0.8× 32 0.8× 60 1.8× 17 274
Michael Z. Khan 74 0.5× 59 0.7× 62 1.3× 17 0.4× 34 1.0× 13 247
Héctor González-Usigli 52 0.3× 79 0.9× 67 1.5× 31 0.8× 43 1.3× 18 313
Teresa L. Garrett 68 0.4× 56 0.6× 81 1.8× 22 0.6× 50 1.5× 12 303
Gabriel Keine Kuga 153 1.0× 84 1.0× 48 1.0× 76 2.0× 15 0.5× 26 303
Ting-Ting Yang 110 0.7× 99 1.1× 18 0.4× 19 0.5× 75 2.3× 10 328
K Minami 88 0.6× 88 1.0× 57 1.2× 25 0.7× 37 1.1× 17 284
Changjun Su 139 0.9× 82 0.9× 23 0.5× 28 0.7× 86 2.6× 23 299

Countries citing papers authored by Kaja Plucińska

Since Specialization
Citations

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

Fields of papers citing papers by Kaja Plucińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaja Plucińska

This figure shows the co-authorship network connecting the top 25 collaborators of Kaja Plucińska. A scholar is included among the top collaborators of Kaja Plucińska 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 Kaja Plucińska. Kaja Plucińska 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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2026