K.G. Maciorowski

1.0k citations
28 papers · 764 · h-index 16

Impact in

Papers in

K.G. Maciorowski

28 papers receiving 694 citations

Peers

K.G. Maciorowski
Comparison fields: 5 of 75
  • Food Science 384
  • Animal Science and Zoology 204
  • Endocrinology 87
  • Biotechnology 144
  • Agronomy and Crop Science 146
Replace I.C. Fernández-No with:
I.C. Fernández-No Spain
John Sumner Australia
David Keuzenkamp Netherlands
Patrícia Emília Naves Givisiez Brazil
Sakchai Himathongkham United States
Piet J. Jooste South Africa
An Coorevits Belgium
Cindy Snauwaert Belgium
Anu Tilsala-Timisjärvi Finland
R. V. Asmundson New Zealand
K.G. Maciorowski relative to I.C. Fernández-No Spain I.C. Fernández-No's profile →
Citations per field
00.5×1.5×
I.C. Fernández-No · 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 20 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2 200675
3 199164
4 199862
5 200455
6 200643
7 200542
8 199131
9 199130
10 199529
11 200028
12 199824
13 199721
14 199821
15 199821
16 199718
17 200112
18 199812
19 19977
20 19976

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 28 papers that have together received 764 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Animal Nutrition and Physiology (8 papers), Aquaculture disease management and microbiota (5 papers), Identification and Quantification in Food (5 papers), Listeria monocytogenes in Food Safety (5 papers), Probiotics and Fermented Foods (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Food Science (384 citations), Animal Science and Zoology (204 citations), Endocrinology (87 citations), Biotechnology (144 citations) and Agronomy and Crop Science (146 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 William R. Aimutis. Their work appears in journals such as Animal Feed Science and Technology, Journal of the Science of Food and Agriculture, Journal of Environmental Science and Health Part B, Veterinary Research Communications and Poultry Science.

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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