K.G. Maciorowski

1.0k citations
29 papers · 856 · h-index 17

Impact in

Papers in

K.G. Maciorowski

29 papers receiving 777 citations

Peers

K.G. Maciorowski
Comparison fields: 5 of 76
  • Food Science 435
  • Animal Science and Zoology 213
  • Biotechnology 166
  • Endocrinology 84
  • Agronomy and Crop Science 149
Replace John Sumner with:
John Sumner Australia
David Keuzenkamp Netherlands
Vanerli Beloti Brazil
Annalisa Petruzzelli Italy
Cinzia Cardamone Italy
Jean-Claude Ogier France
Nedjeljko Karabasil Serbia
Danièle Sohier France
Ubaldina M. Rodrigues United Kingdom
Piet J. Jooste South Africa
K.G. Maciorowski relative to John Sumner Australia John Sumner's profile →
Citations per field
00.5×1.5×
John Sumner · 1×
Citations per year

Countries citing papers authored by K.G. Maciorowski

Since Specialization
Citations

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

Fields of papers citing papers by K.G. Maciorowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.G. Maciorowski. 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 K.G. Maciorowski. The network helps show where K.G. Maciorowski may publish in the future.

Co-authors

The 24 scholars most cited alongside K.G. Maciorowski, 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 K.G. Maciorowski Line = papers co-authored together K.G. Maciorowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006146
2 200687
3 200469
4 199167
5 199865
6 200552
7 200647
8 199134
9 200031
10 199131
11 199530
12 199828
13 199824
14 199722
15 199822
16 199719
17 200117
18 199814
19 19977
20 19977

About K.G. Maciorowski

K.G. Maciorowski is a scholar working on Food Science, Animal Science and Zoology, Molecular Biology, Biotechnology and Immunology, having authored 29 papers that have together received 856 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Animal Nutrition and Physiology (8 papers), Identification and Quantification in Food (5 papers), Listeria monocytogenes in Food Safety (5 papers), Aquaculture disease management and microbiota (5 papers), Probiotics and Fermented Foods (4 papers), Biosensors and Analytical Detection (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Food Science (435 citations), Animal Science and Zoology (213 citations), Biotechnology (166 citations), Endocrinology (84 citations) and Agronomy and Crop Science (149 citations). K.G. Maciorowski has collaborated with scholars based in United States and South Korea. Frequent co-authors include Steven C. Ricke, Suresh D. Pillai, F.T. Jones, P. Herrera, L. Kung, Seunggyun Ha, Steven C. Ricke, Christopher A. Bailey, F. M. Byers and Y.M. KWON. Their work appears in journals such as Animal Feed Science and Technology, Poultry Science, Journal of the Science of Food and Agriculture, Journal of Environmental Science and Health Part B and Advances in experimental medicine and biology.

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.

Explore authors with similar magnitude of impact