Niel A. Karrow

5.3k total citations · 1 hit paper
194 papers, 3.8k citations indexed

About

Niel A. Karrow is a scholar working on Immunology, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Niel A. Karrow has authored 194 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 45 papers in Agronomy and Crop Science and 39 papers in Molecular Biology. Recurrent topics in Niel A. Karrow's work include Milk Quality and Mastitis in Dairy Cows (27 papers), Mycotoxins in Agriculture and Food (26 papers) and Mycobacterium research and diagnosis (24 papers). Niel A. Karrow is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (27 papers), Mycotoxins in Agriculture and Food (26 papers) and Mycobacterium research and diagnosis (24 papers). Niel A. Karrow collaborates with scholars based in Canada, China and United States. Niel A. Karrow's co-authors include Herman J. Boermans, Flávio S. Schenkel, Lv‐Hui Sun, Bonnie A. Mallard, Sameer D. Pant, Qiumei You, Ling Zhao, Chris P. Verschoor, Lei Zhang and H. V. L. N. Swamy and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Niel A. Karrow

185 papers receiving 3.7k citations

Hit Papers

Occurrence of Aflatoxin B... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Niel A. Karrow 1.0k 749 739 679 642 194 3.8k
Boon P. Chew 499 0.5× 1.5k 2.0× 1.2k 1.6× 785 1.2× 539 0.8× 142 6.2k
Ahrar Khan 1.3k 1.3× 269 0.4× 455 0.6× 550 0.8× 310 0.5× 189 3.5k
De Wu 328 0.3× 2.2k 2.9× 660 0.9× 1.7k 2.5× 460 0.7× 336 6.4k
Robert W. Li 342 0.3× 2.0k 2.6× 849 1.1× 296 0.4× 338 0.5× 120 4.3k
Bo Zhou 688 0.7× 1.2k 1.6× 178 0.2× 388 0.6× 250 0.4× 143 3.3k
Fabrizio Ceciliani 183 0.2× 1.4k 1.9× 885 1.2× 718 1.1× 445 0.7× 164 4.1k
Jörg R. Aschenbach 485 0.5× 1.4k 1.9× 3.0k 4.1× 1.3k 1.9× 261 0.4× 154 5.7k
Cong Li 742 0.7× 1.8k 2.4× 364 0.5× 638 0.9× 269 0.4× 211 5.0k
Aizhen Guo 210 0.2× 1.1k 1.5× 472 0.6× 234 0.3× 836 1.3× 222 3.6k
Jordi Estellé 274 0.3× 2.1k 2.8× 204 0.3× 701 1.0× 376 0.6× 72 3.7k

Countries citing papers authored by Niel A. Karrow

Since Specialization
Citations

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

Fields of papers citing papers by Niel A. Karrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niel A. Karrow. 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 Niel A. Karrow. The network helps show where Niel A. Karrow may publish in the future.

Co-authorship network of co-authors of Niel A. Karrow

This figure shows the co-authorship network connecting the top 25 collaborators of Niel A. Karrow. A scholar is included among the top collaborators of Niel A. Karrow 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 Niel A. Karrow. Niel A. Karrow 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
2.
Karrow, Niel A., et al.. (2025). Genetic Variants Influencing Individual Vitamin D Status. Nutrients. 17(16). 2673–2673. 1 indexed citations
3.
Li, Mingxun, Peng Chen, Can Liu, et al.. (2025). Gut Microbiome and Metabolome Signatures Associated with Heat Tolerance in Dairy Cows. Microorganisms. 13(12). 2829–2829.
4.
Mallard, Bonnie A., et al.. (2024). The Immunomodulatory Effects of Selenium: A Journey from the Environment to the Human Immune System. Nutrients. 16(19). 3324–3324. 12 indexed citations
5.
Borland, Meredith L, et al.. (2024). Growth performance, hepatic gene expression, and plasma biochemistry of rainbow trout fed full-fat meal, defatted meal, oil and chitin from black soldier flies. SHILAP Revista de lepidopterología. 6. 200149–200149. 4 indexed citations
6.
Gao, Nannan, Junyu Zhang, Umesh K. Shandilya, et al.. (2024). Hepatic Gene Expression Changes of Zebrafish Fed Yeast Prebiotic, Yeast Probiotic, Black Soldier Fly Meal, and Butyrate. Fishes. 9(12). 495–495. 1 indexed citations
7.
Shandilya, Umesh K., et al.. (2023). N-Acetylcysteine and Its Immunomodulatory Properties in Humans and Domesticated Animals. Antioxidants. 12(10). 1867–1867. 16 indexed citations
8.
Xu, Ran, Alexandros Yiannikouris, Umesh K. Shandilya, & Niel A. Karrow. (2023). Comparative Assessment of Different Yeast Cell Wall-Based Mycotoxin Adsorbents Using a Model- and Bioassay-Based In Vitro Approach. Toxins. 15(2). 104–104. 13 indexed citations
9.
Cheng, Ke, et al.. (2023). Physiological function of vitamin D3 in fish. Reviews in Aquaculture. 15(4). 1732–1748. 19 indexed citations
10.
Liang, Yan, Mengqi Wang, Huimin Zhang, et al.. (2023). Identification and Classification of Long Non-Coding RNAs in the Mammary Gland of the Holstein Cow. International Journal of Molecular Sciences. 24(17). 13585–13585. 1 indexed citations
12.
Liang, Yan, Wei Ni, Abdelaziz Adam Idriss Arbab, et al.. (2022). Polymorphisms of the IL-17A Gene Influence Milk Production Traits and Somatic Cell Score in Chinese Holstein Cows. Bioengineering. 9(9). 448–448. 4 indexed citations
13.
Liang, Yan, Haiyang Wang, Abdelaziz Adam Idriss Arbab, et al.. (2022). Identification and Characterization of Circular RNAs in Mammary Tissue from Holstein Cows at Early Lactation and Non-Lactation. Biomolecules. 12(3). 478–478. 7 indexed citations
14.
Tang, Cheng, Yan Liang, Mengqi Wang, et al.. (2022). Effects of Seasonal Heat Stress during Late Gestation on Growth Performance, Metabolic and Immuno-Endocrine Parameters of Calves. Animals. 12(6). 716–716. 9 indexed citations
15.
Liang, Yan, Qiang Zhang, Abdelaziz Adam Idriss Arbab, et al.. (2020). Polymorphisms of the ACSL1 Gene Influence Milk Production Traits and Somatic Cell Score in Chinese Holstein Cows. Animals. 10(12). 2282–2282. 11 indexed citations
16.
Monteith, Gregory R., et al.. (2020). Short communication: Characterizing ovine serum stress biomarkers during endotoxemia. Journal of Dairy Science. 103(6). 5501–5508. 14 indexed citations
17.
Atalla, Heba, et al.. (2020). The bioactivity of colostrum and milk exosomes of high, average, and low immune responder cows on human intestinal epithelial cells. Journal of Dairy Science. 104(3). 2499–2510. 40 indexed citations
18.
Li, Mingxun, Mengqi Wang, Yan Liang, et al.. (2020). Polymorphisms in Fatty Acid Desaturase 2 Gene Are Associated with Milk Production Traits in Chinese Holstein Cows. Animals. 10(4). 671–671. 14 indexed citations
19.
Li, Mingxun, Xubin Lu, Abdelaziz Adam Idriss Arbab, et al.. (2019). A Functional 3′ UTR Polymorphism of FADS2 Affects Cow Milk Composition through Modifying Mir-744 Binding. Animals. 9(12). 1090–1090. 12 indexed citations
20.
Miglior, F., Aroa Suárez‐Vega, Pablo Augusto de Souza Fonseca, et al.. (2019). Genetic mechanisms regulating the host response during mastitis. Journal of Dairy Science. 102(10). 9043–9059. 33 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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