M. Ożgo

65 papers receiving 524 citations

Peers

M. Ożgo
Comparison fields: 5 of 81
  • Equine 21
  • Reproductive Medicine 86
  • Animal Science and Zoology 99
  • Agronomy and Crop Science 96
  • Nutrition and Dietetics 143
Replace Adam Lepczyński with:
Adam Lepczyński Poland
Toshio Masaoka Japan
Cheng Xia China
Agnieszka Herosimczyk Poland
Alenka Nemec Svete Slovenia
Wenru Tian China
Sarah Barbey France
L.A. García-Pardo Spain
Ilyas Ali China
Claire A Merrifield United Kingdom
M. Ożgo relative to Adam Lepczyński Poland Adam Lepczyński's profile →
Citations per field
00.5×1.5×
Adam Lepczyński · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. Ożgo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ożgo Line = papers co-authored together M. Ożgo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201632
3 201524
4
Plasma proteome analysis: 2D gels and chips.
200622
5 202420
6 201818
7
Defining the blood plasma protein repertoire of seven day old dairy calves - a preliminary study.
201118
8 201316
9
Dietary supplementation with dried chicory root triggers changes in the blood serum proteins engaged in the clotting process and the innate immune response in growing pigs.
201516
10 202014
11 200913
12 201713
13 201512
14 202111
15 201511
16
Proteome of spleen CD4 lymphocytes in mouse preimplantation pregnancy.
201411
17 201811
18 201611
19 201710
20 20209

About M. Ożgo

M. Ożgo is a scholar working on Nutrition and Dietetics, Small Animals, Molecular Biology, Animal Science and Zoology and Spectroscopy, having authored 69 papers that have together received 546 indexed citations. Recurring topics across this work include Animal health and immunology (15 papers), Microbial Metabolites in Food Biotechnology (11 papers), Advanced Proteomics Techniques and Applications (8 papers), Reproductive Physiology in Livestock (7 papers), Animal Nutrition and Physiology (5 papers), Iron Metabolism and Disorders (5 papers), Infant Nutrition and Health (5 papers) and Meat and Animal Product Quality (5 papers). The work is most often cited by research in Equine (21 citations), Reproductive Medicine (86 citations), Animal Science and Zoology (99 citations), Agronomy and Crop Science (96 citations) and Nutrition and Dietetics (143 citations). M. Ożgo has collaborated with scholars based in Poland, France and Switzerland. Frequent co-authors include Adam Lepczyński, Agnieszka Herosimczyk, W. F. Skrzypczak, Marcin Barszcz, J. Skomiał, M. Taciak, Maciej Kurpisz, Karolina Nowicka-Bauer, Marzena Kamieniczna and Agnieszka Malcher. Their work appears in journals such as Animals, animal, Journal of Animal Physiology and Animal Nutrition, Poultry Science and Advances in Clinical and Experimental Medicine.

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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