Marek Pawlikowski

4.7k total citations · 1 hit paper
251 papers, 3.2k citations indexed

About

Marek Pawlikowski is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Marek Pawlikowski has authored 251 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Endocrinology, Diabetes and Metabolism, 40 papers in Epidemiology and 33 papers in Molecular Biology. Recurrent topics in Marek Pawlikowski's work include Pituitary Gland Disorders and Treatments (69 papers), Growth Hormone and Insulin-like Growth Factors (40 papers) and Neuroendocrine Tumor Research Advances (39 papers). Marek Pawlikowski is often cited by papers focused on Pituitary Gland Disorders and Treatments (69 papers), Growth Hormone and Insulin-like Growth Factors (40 papers) and Neuroendocrine Tumor Research Advances (39 papers). Marek Pawlikowski collaborates with scholars based in Poland, Czechia and United States. Marek Pawlikowski's co-authors include Maciej Radek, H Stępień, Katarzyna Winczyk, M Karasek, Nicola Luigi Rizzi, Hanna Pisarek, Ivan Giorgio, Gabriela Mełeń-Mucha, Francesco dell’Isola and Anna Gruszka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Marek Pawlikowski

239 papers receiving 3.1k citations

Hit Papers

Large deformations of planar extensible beams and pantogr... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Pawlikowski Poland 27 903 611 466 436 419 251 3.2k
Takao Ando Japan 30 1.3k 1.4× 847 1.4× 71 0.2× 222 0.5× 168 0.4× 122 3.3k
Kouichi Itoh Japan 36 183 0.2× 1.2k 1.9× 80 0.2× 131 0.3× 328 0.8× 209 4.1k
Wei‐Yang Lu Canada 42 261 0.3× 3.5k 5.8× 313 0.7× 352 0.8× 172 0.4× 156 8.2k
Byung Ju Lee South Korea 32 147 0.2× 1.1k 1.7× 410 0.9× 54 0.1× 180 0.4× 139 3.1k
Hideo Saitô Japan 33 56 0.1× 934 1.5× 416 0.9× 145 0.3× 158 0.4× 193 3.7k
Koichi Kawahara Japan 37 125 0.1× 1.3k 2.1× 311 0.7× 30 0.1× 510 1.2× 203 4.7k
Gabriel Centeno Spain 25 172 0.2× 390 0.6× 437 0.9× 634 1.5× 35 0.1× 92 2.0k
Hongyun Li China 30 235 0.3× 1.1k 1.8× 33 0.1× 173 0.4× 216 0.5× 184 3.3k
Hiroshi Kawabe Japan 34 276 0.3× 1.8k 2.9× 177 0.4× 26 0.1× 385 0.9× 192 3.8k
David F. Fischer Netherlands 35 118 0.1× 2.0k 3.3× 292 0.6× 57 0.1× 365 0.9× 80 3.6k

Countries citing papers authored by Marek Pawlikowski

Since Specialization
Citations

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

Fields of papers citing papers by Marek Pawlikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Pawlikowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Pawlikowski. A scholar is included among the top collaborators of Marek Pawlikowski 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 Marek Pawlikowski. Marek Pawlikowski 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.
Pawlikowski, Marek, et al.. (2025). Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm. BMC Veterinary Research. 21(1). 165–165. 2 indexed citations
2.
Pawlikowski, Marek, et al.. (2025). The role of mathematical models in prediction of osteoarthritis development. Computers in Biology and Medicine. 193. 110407–110407.
3.
Kadkhodaei, Mahmoud, et al.. (2024). An experimental and theoretical investigation on the hyper-viscoelasticity of polyamide 12 produced by selective laser sintering. PLoS ONE. 19(7). e0304823–e0304823. 1 indexed citations
4.
Pawlikowski, Marek, et al.. (2024). New approach to $${\upalpha }$$-titanium mechanical properties enhancement by means of thermoplastic deformation in mid-temperature range. Continuum Mechanics and Thermodynamics. 36(6). 1645–1660.
6.
Kadkhodaei, Mahmoud, et al.. (2023). Modeling of hyperelasticity in polyamide 12 produced by selective laser sintering. Continuum Mechanics and Thermodynamics. 35(4). 1735–1744. 3 indexed citations
8.
Pawlikowski, Marek, et al.. (2022). Multi-scale constitutive model of human trabecular bone. Continuum Mechanics and Thermodynamics. 35(4). 1547–1560. 5 indexed citations
9.
Jankowski, Krzysztof, Marek Pawlikowski, & Katarzyna Barcz. (2022). Some aspects related to the indentation-based viscoelastic modelling of trabecular bone tissue. Acta of Bioengineering and Biomechanics. 24(3). 169–177. 1 indexed citations
10.
dell’Isola, Francesco, Tomasz Lekszycki, Marek Pawlikowski, Roman Grygoruk, & Leopoldo Greco. (2015). Designing a light fabric metamaterial being highly macroscopically tough under directional extension: first experimental evidence. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Skalski, Konstanty, et al.. (2015). Measurement of mechanical properties of a bone tissue at a microstructural level by using DSI (Depth Sensing Indentation) method. Inżynieria Powierzchni. 1 indexed citations
13.
Pawlikowski, Marek, et al.. (2013). Determination of material parameters of quasi-linear viscoelastic rheological model for thermoplastics and resins. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 51(3). 569–580. 9 indexed citations
14.
Winczyk, Katarzyna & Marek Pawlikowski. (2010). Immunohistochemical detection of prothymosin alpha in pituitary adenomas--a new marker of tumor recurrence?. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Stępień, Tomasz, Hanna Pisarek, Robert Kubiak, & Marek Pawlikowski. (2008). Somatostatin receptors in human adrenal gland tumors--immunohistochemical study.. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Pawlikowski, Marek, et al.. (2006). Influence of remodelling, stimulating factor selection on bone density distribution in pelvic bone model. Acta of Bioengineering and Biomechanics. 8. 119–126. 2 indexed citations
17.
Karasek, M & Marek Pawlikowski. (2006). Hyperprolactinaemia – The Essentials. touchREVIEWS in Endocrinology. 53–53. 1 indexed citations
18.
Klencki, Mariusz, Ilona Kurnatowska, Dorota Słowińska-Klencka, Andrzej Lewiñski, & Marek Pawlikowski. (2001). Correlation Between PCNA Expression and AgNOR Dots in Pituitary Adenomas. Endocrine Pathology. 12(2). 163–170. 10 indexed citations
19.
Pawlikowski, Marek & Dorota Słowińska-Klencka. (1994). Effects of TRH and TRH-like peptides on anterior pituitary cell proliferation in rats.. PubMed. 79(317). 117–22. 10 indexed citations
20.
Pawlikowski, Marek. (1978). Attempt at pharmacological treatment of a pituitary tumor with bromocriptine.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 29(5). 413–6. 5 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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