Michael T. Kidd

2.2k total citations · 2 hit papers
46 papers, 1.6k citations indexed

About

Michael T. Kidd is a scholar working on Animal Science and Zoology, Molecular Biology and Physiology. According to data from OpenAlex, Michael T. Kidd has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Animal Science and Zoology, 13 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Michael T. Kidd's work include Animal Nutrition and Physiology (25 papers), Meat and Animal Product Quality (8 papers) and Livestock and Poultry Management (6 papers). Michael T. Kidd is often cited by papers focused on Animal Nutrition and Physiology (25 papers), Meat and Animal Product Quality (8 papers) and Livestock and Poultry Management (6 papers). Michael T. Kidd collaborates with scholars based in United States, United Kingdom and Indonesia. Michael T. Kidd's co-authors include Peter F. Surai, Ivan I. Kochish, В.И. Фисинин, Sami Dridi, Sara Orlowski, Mara Dierssen, D.C. Davies, Mustafa Ayberk Kurt, Jesús Flórez and Elizabeth S. Greene and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Michael T. Kidd

45 papers receiving 1.5k citations

Hit Papers

Antioxi... 1964 2026 1984 2005 2019 1964 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael T. Kidd United States 17 635 445 392 200 124 46 1.6k
Xiaojuan Wang China 21 610 1.0× 340 0.8× 222 0.6× 128 0.6× 88 0.7× 95 1.4k
Xianyong Ma China 28 696 1.1× 1.0k 2.3× 208 0.5× 180 0.9× 80 0.6× 78 2.4k
Shengdi Hu China 21 223 0.4× 583 1.3× 343 0.9× 101 0.5× 191 1.5× 31 1.4k
Kan Sato Japan 21 456 0.7× 471 1.1× 440 1.1× 70 0.3× 57 0.5× 74 1.4k
Ruqian Zhao China 23 515 0.8× 616 1.4× 372 0.9× 105 0.5× 68 0.5× 70 1.7k
Rejun Fang China 23 677 1.1× 881 2.0× 379 1.0× 215 1.1× 75 0.6× 59 2.1k
Fumiki Morimatsu Japan 27 428 0.7× 1.2k 2.7× 554 1.4× 83 0.4× 252 2.0× 96 2.4k
Ewa Pruszyńska‐Oszmałek Poland 24 337 0.5× 474 1.1× 326 0.8× 152 0.8× 32 0.3× 122 2.1k
Chang Won Kang South Korea 27 620 1.0× 767 1.7× 200 0.5× 269 1.3× 149 1.2× 151 2.3k
Xin Dong China 30 956 1.5× 902 2.0× 259 0.7× 459 2.3× 213 1.7× 144 2.7k

Countries citing papers authored by Michael T. Kidd

Since Specialization
Citations

This map shows the geographic impact of Michael T. Kidd'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 Michael T. Kidd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Kidd more than expected).

Fields of papers citing papers by Michael T. Kidd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Kidd. 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 Michael T. Kidd. The network helps show where Michael T. Kidd may publish in the future.

Co-authorship network of co-authors of Michael T. Kidd

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Kidd. A scholar is included among the top collaborators of Michael T. Kidd 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 Michael T. Kidd. Michael T. Kidd 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.
Kidd, Michael T., et al.. (2025). Black soldier fly larvae oil downregulated gene expression related to fat metabolism of broilers fed low protein diet. Poultry Science. 104(4). 104831–104831.
2.
Fernandes, Arthur, et al.. (2025). Facial chick sexing: An automated chick sexing system from chick facial image. Smart Agricultural Technology. 12. 101044–101044. 2 indexed citations
3.
Kidd, Michael T., et al.. (2024). Investigating the effect of 1,25 dihydroxycholecalciferol-glycosides and phytogenic antioxidants against bacterial chondronecrosis induced by aerosol transmission model. The Journal of Applied Poultry Research. 34(1). 100507–100507. 2 indexed citations
5.
Kang, Seong Wook, Karen Christensen, Michael T. Kidd, & Sara Orlowski. (2024). Effects of Environmental Enrichments on Welfare and Hepatic Metabolic Regulation of Broiler Chickens. Animals. 14(4). 557–557. 3 indexed citations
6.
Liu, Jundi, et al.. (2024). Deoxynivalenol and fumonisin predispose broilers to bacterial chondronecrosis with osteomyelitis lameness. Poultry Science. 103(5). 103598–103598. 11 indexed citations
7.
Fernandes, Arthur, et al.. (2024). CarcassFormer: an end-to-end transformer-based framework for simultaneous localization, segmentation and classification of poultry carcass defect. Poultry Science. 103(8). 103765–103765. 4 indexed citations
8.
Beal, Colin M., David M. Robinson, Tom Tabler, et al.. (2023). Economic and environmental assessment of U.S. broiler production: opportunities to improve sustainability. Poultry Science. 102(10). 102887–102887. 5 indexed citations
9.
Kang, Seong Wook, Karen Christensen, Michael T. Kidd, Sara Orlowski, & James H. Clark. (2023). Effects of a variable light intensity lighting program on the welfare and performance of commercial broiler chickens. Frontiers in Physiology. 14. 1059055–1059055. 17 indexed citations
10.
Macelline, Shemil P., Michael T. Kidd, Peter V. Chrystal, et al.. (2023). The influence of non-bound amino acid inclusions and starch-protein digestive dynamics on growth performance of broiler chickens offered wheat-based diets with two crude protein concentrations. Animal nutrition. 15. 399–408. 8 indexed citations
11.
Yamazaki, Kashu, Viet-Khoa Vo-Ho, Michael T. Kidd, et al.. (2022). VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning. 2022 IEEE International Conference on Image Processing (ICIP). 3656–3661. 16 indexed citations
13.
Kang, Seong Wook, et al.. (2020). Characterization of stress response involved in chicken myopathy. General and Comparative Endocrinology. 295. 113526–113526. 10 indexed citations
14.
Greene, Elizabeth, Michael T. Kidd, Byung‐Whi Kong, et al.. (2020). Muscle Metabolome Profiles in Woody Breast-(un)Affected Broilers: Effects of Quantum Blue Phytase-Enriched Diet. Frontiers in Veterinary Science. 7. 458–458. 24 indexed citations
15.
Baxter, Mikayla F. A., Elizabeth S. Greene, Michael T. Kidd, et al.. (2020). Water amino acid-chelated trace mineral supplementation decreases circulating and intestinal HSP70 and proinflammatory cytokine gene expression in heat-stressed broiler chickens. Journal of Animal Science. 98(3). 37 indexed citations
17.
Greene, Elizabeth, Joshua J. Flees, Barbara Mallmann, et al.. (2019). Quantum Blue Reduces the Severity of Woody Breast Myopathy via Modulation of Oxygen Homeostasis-Related Genes in Broiler Chickens. Frontiers in Physiology. 10. 1251–1251. 40 indexed citations
18.
Wang, Hong, Lijun Wang, Qinqin Hu, et al.. (2018). Rapid and Sensitive Detection of Campylobacter jejuni in Poultry Products Using a Nanoparticle-Based Piezoelectric Immunosensor Integrated with Magnetic Immunoseparation. Journal of Food Protection. 81(8). 1321–1330. 25 indexed citations
20.
Kurt, Mustafa Ayberk, D.C. Davies, Michael T. Kidd, Mara Dierssen, & Jesús Flórez. (2000). Synaptic deficit in the temporal cortex of partial trisomy 16 (Ts65Dn) mice. Brain Research. 858(1). 191–197. 102 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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