Paweł Koteja

3.4k total citations
83 papers, 2.8k citations indexed

About

Paweł Koteja is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Paweł Koteja has authored 83 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ecology, 40 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Genetics. Recurrent topics in Paweł Koteja's work include Physiological and biochemical adaptations (33 papers), Bat Biology and Ecology Studies (21 papers) and Adipose Tissue and Metabolism (18 papers). Paweł Koteja is often cited by papers focused on Physiological and biochemical adaptations (33 papers), Bat Biology and Ecology Studies (21 papers) and Adipose Tissue and Metabolism (18 papers). Paweł Koteja collaborates with scholars based in Poland, United States and Finland. Paweł Koteja's co-authors include Edyta T. Sadowska, Theodore Garland, Patrick A. Carter, John G. Swallow, Zbyszek Boratyński, Katarzyna Baliga‐Klimczyk, John G. Swallow, Marta K. Labocha, Jacek Radwan and Agata M. Rudolf and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and Scientific Reports.

In The Last Decade

Paweł Koteja

80 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paweł Koteja Poland 28 1.4k 1.2k 781 714 256 83 2.8k
Marek Konarzewski Poland 36 2.8k 1.9× 1.8k 1.5× 740 0.9× 868 1.2× 201 0.8× 95 4.3k
Kimberly A. Hammond United States 27 1.5k 1.0× 1.1k 0.9× 422 0.5× 799 1.1× 329 1.3× 42 2.9k
Mark A. Chappell United States 48 3.2k 2.2× 2.5k 2.1× 1.4k 1.9× 1.0k 1.4× 240 0.9× 113 5.6k
G. J. Kenagy United States 40 2.7k 1.9× 2.6k 2.2× 805 1.0× 500 0.7× 488 1.9× 85 4.7k
Andrew J. Young United Kingdom 36 1.2k 0.8× 1.8k 1.5× 568 0.7× 362 0.5× 691 2.7× 98 3.7k
Patrick A. Carter United States 24 381 0.3× 615 0.5× 1.3k 1.7× 613 0.9× 117 0.5× 54 2.4k
Fernando Ribeiro Gomes Brazil 28 691 0.5× 1.2k 1.0× 493 0.6× 298 0.4× 227 0.9× 94 2.5k
Enrico L. Rezende Chile 44 3.2k 2.3× 2.6k 2.2× 1.6k 2.0× 540 0.8× 220 0.9× 113 6.0k
Francisco Bozinovic Chile 36 2.5k 1.8× 1.8k 1.5× 467 0.6× 435 0.6× 158 0.6× 130 3.7k
Roberto F. Nespolo Chile 31 1.8k 1.3× 1.5k 1.2× 406 0.5× 356 0.5× 82 0.3× 121 2.8k

Countries citing papers authored by Paweł Koteja

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Koteja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Koteja

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Koteja. A scholar is included among the top collaborators of Paweł Koteja 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 Paweł Koteja. Paweł Koteja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sadowska, Edyta T., et al.. (2025). Effect of Western diet on body composition, locomotor performance and blood biochemical profile in the bank vole. Journal of Experimental Biology. 228(19).
2.
Sadowska, Edyta T., et al.. (2025). The effects of short‐term consumption of a Western diet on aerobic exercise performance in bank voles with inherently distinct metabolic rates. Experimental Physiology. 111(3). 930–945. 2 indexed citations
3.
4.
Drewes, Stephan, et al.. (2023). Tropism of Puumala orthohantavirus and Endoparasite Coinfection in the Bank Vole Reservoir. Viruses. 15(3). 612–612. 3 indexed citations
5.
Hämäläinen, Anni, et al.. (2022). Artificial selection for predatory behaviour results in dietary niche differentiation in an omnivorous mammal. Proceedings of the Royal Society B Biological Sciences. 289(1970). 20212510–20212510. 6 indexed citations
6.
Boratyński, Zbyszek, et al.. (2020). The metabolic performance predicts home range size of bank voles: a support for the behavioral–bioenergetics theory. Oecologia. 193(3). 547–556. 20 indexed citations
7.
Sadowska, Edyta T., et al.. (2019). Experimental evolution of aerobic exercise performance and hematological traits in bank voles. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 234. 1–9. 3 indexed citations
8.
Rosenfeld, Ulrike, Stephan Drewes, Hanan Sheikh Ali, et al.. (2017). A highly divergent Puumala virus lineage in southern Poland. Archives of Virology. 162(5). 1177–1185. 6 indexed citations
9.
Kohl, Kevin D., Edyta T. Sadowska, Agata M. Rudolf, M. Denise Dearing, & Paweł Koteja. (2016). Experimental Evolution on a Wild Mammal Species Results in Modifications of Gut Microbial Communities. Frontiers in Microbiology. 7. 634–634. 33 indexed citations
10.
Sadowska, Edyta T., et al.. (2016). Limits to sustained energy intake. XXIII. Does heat dissipation capacity limit the energy budget of lactating bank voles?. Journal of Experimental Biology. 219(Pt 6). 805–15. 28 indexed citations
11.
Stawski, Clare, Teresa G. Valencak, Thomas Ruf, et al.. (2015). Effect of Selection for High Activity-Related Metabolism on Membrane Phospholipid Fatty Acid Composition in Bank Voles. Physiological and Biochemical Zoology. 88(6). 668–679. 5 indexed citations
12.
Prokop, Zofia M., et al.. (2010). Low inbreeding depression in a sexual trait in the stalk-eyed fly Teleopsis dalmanni. Evolutionary Ecology. 24(4). 827–837. 19 indexed citations
13.
Sadowska, Edyta T., et al.. (2008). Laboratory Model of Adaptive Radiation: A Selection Experiment in the Bank Vole. Physiological and Biochemical Zoology. 81(5). 627–640. 66 indexed citations
14.
Radwan, Jacek, Magdalena Chadzińska, Mariusz Cichoń, et al.. (2006). Metabolic costs of sexual advertisement in the bank vole (Clethrionomys glareolus). Evolutionary ecology research. 8(5). 859–869. 20 indexed citations
15.
Koteja, Paweł, Patrick A. Carter, John G. Swallow, & Theodore Garland. (2003). Food wasting by house mice: variation among individuals, families, and genetic lines. Physiology & Behavior. 80(2-3). 375–383. 54 indexed citations
16.
Swallow, John G., et al.. (2001). Food consumption and body composition in mice selected for high wheel-running activity. Journal of Comparative Physiology B. 171(8). 651–659. 122 indexed citations
17.
Koteja, Paweł, et al.. (2001). Energy balance of hibernating mouse-eared bat Myotis myotis: a study with a TOBEC instrument. ACTA THERIOLOGICA. 46. 1–12. 3 indexed citations
18.
Koteja, Paweł. (1996). Limits to the Energy Budget in a Rodent, Peromyscus maniculatus: The Central Limitation Hypothesis. Physiological Zoology. 69(5). 981–993. 57 indexed citations
19.
Froncisz, Wojciech, et al.. (1994). A new instrument for non-invasive measurement of total body water and fat content in small mammals. 20. 4 indexed citations
20.
Koteja, Paweł, et al.. (1994). Maximum cold- and lactation-induced rate of energy assimilation in Acomys cahirinus. 20. 13 indexed citations

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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