M. Ożgo

685 total citations
69 papers, 546 citations indexed

About

M. Ożgo is a scholar working on Nutrition and Dietetics, Small Animals and Molecular Biology. According to data from OpenAlex, M. Ożgo has authored 69 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nutrition and Dietetics, 15 papers in Small Animals and 14 papers in Molecular Biology. Recurrent topics in M. Ożgo's work include Animal health and immunology (15 papers), Microbial Metabolites in Food Biotechnology (11 papers) and Advanced Proteomics Techniques and Applications (8 papers). M. Ożgo is often cited by papers focused on Animal health and immunology (15 papers), Microbial Metabolites in Food Biotechnology (11 papers) and Advanced Proteomics Techniques and Applications (8 papers). M. Ożgo collaborates with scholars based in Poland, France and Switzerland. M. Ożgo's co-authors include Adam Lepczyński, Agnieszka Herosimczyk, W. F. Skrzypczak, Marcin Barszcz, J. Skomiał, M. Taciak, Karolina Nowicka-Bauer, Marzena Kamieniczna, Agnieszka Malcher and Maciej Kurpisz and has published in prestigious journals such as Nutrients, Meat Science and Poultry Science.

In The Last Decade

M. Ożgo

65 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ożgo Poland 13 143 121 99 96 86 69 546
Adam Lepczyński Poland 12 198 1.4× 172 1.4× 125 1.3× 66 0.7× 87 1.0× 64 670
Alenka Nemec Svete Slovenia 14 82 0.6× 89 0.7× 142 1.4× 28 0.3× 35 0.4× 55 502
Marco Antônio Sundfeld da Gama Brazil 16 315 2.2× 102 0.8× 125 1.3× 296 3.1× 34 0.4× 68 746
Lun Hua China 11 51 0.4× 142 1.2× 89 0.9× 43 0.4× 21 0.2× 52 442
Ilyas Ali China 14 51 0.4× 137 1.1× 85 0.9× 65 0.7× 42 0.5× 39 449
Qianhong Ye China 14 47 0.3× 233 1.9× 49 0.5× 50 0.5× 48 0.6× 22 545
Toshio Masaoka Japan 14 157 1.1× 329 2.7× 39 0.4× 35 0.4× 55 0.6× 51 729
V. Girish Kumar India 11 24 0.2× 136 1.1× 42 0.4× 121 1.3× 108 1.3× 31 669
Cheng Xia China 17 69 0.5× 213 1.8× 145 1.5× 427 4.4× 17 0.2× 82 961
Wenru Tian China 15 33 0.2× 249 2.1× 63 0.6× 172 1.8× 82 1.0× 30 726

Countries citing papers authored by M. Ożgo

Since Specialization
Citations

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

Fields of papers citing papers by M. Ożgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ożgo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ożgo. A scholar is included among the top collaborators of M. Ożgo 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 M. Ożgo. M. Ożgo 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.
Herosimczyk, Agnieszka, M. Ożgo, Adam Lepczyński, et al.. (2024). Diets enriched with chicory-derived native inulin can affect kidneyand liver mineral content in nursery pigs. Journal of Animal and Feed Sciences. 34(1). 55–60. 1 indexed citations
2.
Herosimczyk, Agnieszka, M. Ożgo, Andrzej K. Ciechanowicz, et al.. (2024). Liquid chromatography mass spectrometry plasma proteomeanalysis in nursery pigs fed dietsenriched with native chicory inulin. Journal of Animal and Feed Sciences. 34(2). 179–188.
3.
Ożgo, M., Agnieszka Herosimczyk, Marcin Barszcz, et al.. (2024). Effect of feeding high fat diets differing in fatty acid composition on oxidative stress markers and protein expression in mouse kidney. Journal of Animal and Feed Sciences. 33(2). 170–184. 4 indexed citations
4.
Herosimczyk, Agnieszka, Adam Lepczyński, Marcin Barszcz, et al.. (2022). Dietary Inclusion of Dried Chicory Root Affects Cecal Mucosa Proteome of Nursery Pigs. Animals. 12(13). 1710–1710. 1 indexed citations
5.
Lepczyński, Adam, M. Ożgo, Marta Grabowska, et al.. (2021). Effects of Three-Month Feeding High Fat Diets with Different Fatty Acid Composition on Myocardial Proteome in Mice. Nutrients. 13(2). 330–330. 11 indexed citations
6.
Kedzierska, A, Adam Lepczyński, Agnieszka Herosimczyk, et al.. (2021). Differential Signals From TNFα-Treated and Untreated Embryos in Uterine Tissues and Splenic CD4+ T Lymphocytes During Preimplantation Pregnancy in Mice. Frontiers in Veterinary Science. 8. 641553–641553. 1 indexed citations
7.
Ożgo, M., et al.. (2021). Preparation of mare's colostrum and milk sample for 2-DE separation without acetone precipitation. 19(3). 71–78. 1 indexed citations
8.
Dunisławska, Aleksandra, Agnieszka Herosimczyk, M. Ożgo, et al.. (2021). Proteome changes upon in ovo stimulation with Lactobacillus synbiotic in chicken liver. Poultry Science. 100(11). 101449–101449. 5 indexed citations
9.
Nowicka-Bauer, Karolina, M. Ożgo, Adam Lepczyński, et al.. (2018). Human sperm proteins identified by 2-dimensional electrophoresis and mass spectrometry and their relevance to a transcriptomic analysis. Reproductive Biology. 18(2). 151–160. 4 indexed citations
10.
Lepczyński, Adam, et al.. (2015). Analysis of the efficiency of post-electrphoretic protein staining using colloidal coomassie blue G-250. 14(2).
11.
Herosimczyk, Agnieszka, Adam Lepczyński, M. Ożgo, & W. F. Skrzypczak. (2012). Effect of age and food intake on the selected blood plasma/serum proteins in calves during the early postnatal period.. Medycyna Weterynaryjna. 68(5). 265–268. 3 indexed citations
12.
Ożgo, M., et al.. (2011). Renal Regulation of Potassium Homeostasis in Calves in the First Week of Life Including the Role of Atrial Natriuretic Peptide. Folia Biologica. 59(3). 157–161. 4 indexed citations
13.
Ciechanowicz, Andrzej K., M. Ożgo, Agnieszka Herosimczyk, et al.. (2011). Urinary proteomic strategies in biomarkers discovery of renal diseases. Journal of Pre-Clinical and Clinical Research. 5(1). 1–6.
14.
Skrzypczak, W. F., et al.. (2009). Dynamics of changes in iron concentration and total iron binding capacity in blood plasma of goat kids during their first month of life.. 52(4). 419–424. 1 indexed citations
15.
Ożgo, M., et al.. (2009). Renal urea excretion in single- and twin-pregnant goats. 12(1). 2 indexed citations
16.
Ożgo, M., et al.. (2007). Proteomics in relation to renal physiology and pathophysiology.. Medycyna Weterynaryjna. 63(10). 1146–1150. 2 indexed citations
17.
Skrzypczak, W. F., et al.. (2005). The level of melatonin and somatotropin in chosen points of 24-hour period in calves.. 4(1). 65–72. 1 indexed citations
18.
Skrzypczak, W. F., et al.. (2004). Atrial natriuretic peptide and volemia regulation in newborn calves. 7(2). 4 indexed citations
19.
Ożgo, M.. (2001). Renin - angiotensin - aldosterone system versus osmotic pressure of blood plasma in calves in the neonatal period. 4(2). 3 indexed citations
20.
Skrzypczak, W. F., et al.. (1997). Circadian Changes in Electrolyte Concentration in Plasma and Erythrocytes in Two-week-old Calves. Acta Veterinaria Brno. 66(3). 141–146. 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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