Danyi Ma

546 total citations
11 papers, 430 citations indexed

About

Danyi Ma is a scholar working on Animal Science and Zoology, Insect Science and Cell Biology. According to data from OpenAlex, Danyi Ma has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Animal Science and Zoology, 5 papers in Insect Science and 4 papers in Cell Biology. Recurrent topics in Danyi Ma's work include Meat and Animal Product Quality (8 papers), Bee Products Chemical Analysis (4 papers) and Insect Utilization and Effects (3 papers). Danyi Ma is often cited by papers focused on Meat and Animal Product Quality (8 papers), Bee Products Chemical Analysis (4 papers) and Insect Utilization and Effects (3 papers). Danyi Ma collaborates with scholars based in United States, China and Canada. Danyi Ma's co-authors include Yuan H. Brad Kim, Derico Setyabrata, Steven M. Lonergan, E. Huff‐Lonergan, Mustafa M. Farouk, Melvin C. Hunt, Jiaying Zhang, Bruce R. Cooper, Hyonho Chun and Juhui Choe and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Danyi Ma

11 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danyi Ma United States 8 361 147 84 80 69 11 430
G. Wu New Zealand 9 418 1.2× 115 0.8× 78 0.9× 83 1.0× 89 1.3× 15 467
Luigi Pomponio Denmark 10 386 1.1× 127 0.9× 66 0.8× 178 2.2× 79 1.1× 11 453
Chi Ren China 11 298 0.8× 142 1.0× 31 0.4× 67 0.8× 54 0.8× 25 381
Philippe Gatellier France 8 259 0.7× 179 1.2× 42 0.5× 58 0.7× 85 1.2× 8 391
Véronique Santé‐Lhoutellier France 8 307 0.9× 201 1.4× 76 0.9× 63 0.8× 68 1.0× 9 398
Manting Du China 13 317 0.9× 131 0.9× 51 0.6× 133 1.7× 82 1.2× 27 440
Roland Labas Morocco 9 364 1.0× 113 0.8× 63 0.8× 97 1.2× 48 0.7× 13 483
Yuqiang Bai China 11 281 0.8× 120 0.8× 30 0.4× 56 0.7× 58 0.8× 29 357
Eduardo Francisquine Delgado Brazil 12 306 0.8× 85 0.6× 56 0.7× 114 1.4× 46 0.7× 41 395
Shuyi Qian China 10 448 1.2× 82 0.6× 79 0.9× 74 0.9× 191 2.8× 16 514

Countries citing papers authored by Danyi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Danyi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danyi Ma. 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 Danyi Ma. The network helps show where Danyi Ma may publish in the future.

Co-authorship network of co-authors of Danyi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Danyi Ma. A scholar is included among the top collaborators of Danyi Ma 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 Danyi Ma. Danyi Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ma, Danyi, Meng Chen, Yanting Hu, et al.. (2024). Prevalence and clinical significance of potential drug-drug interactions among lung transplant patients. Frontiers in Pharmacology. 15. 3 indexed citations
2.
Setyabrata, Derico, Danyi Ma, Jyothi Thimmapuram, et al.. (2023). Proteomics and metabolomics profiling of meat exudate to determine the impact of postmortem aging on oxidative stability of beef muscles. Food Chemistry X. 18. 100660–100660. 25 indexed citations
3.
Lammert, R.M., et al.. (2022). Effects of red‐wine grape pomace on the quality and sensory attributes of beef hamburger patty. International Journal of Food Science & Technology. 57(3). 1814–1823. 13 indexed citations
4.
Ma, Danyi, Dong Ho Suh, Jiaying Zhang, et al.. (2021). Elucidating the involvement of apoptosis in postmortem proteolysis in porcine muscles from two production cycles using metabolomics approach. Scientific Reports. 11(1). 3465–3465. 6 indexed citations
5.
Zhang, Jiaying, Danyi Ma, & Yuan H. Brad Kim. (2020). Mitochondrial apoptosis and proteolytic changes of myofibrillar proteins in two different pork muscles during aging. Food Chemistry. 319. 126571–126571. 48 indexed citations
6.
Ma, Danyi, Qianqian Yu, Victoria Hedrick, et al.. (2020). Proteomic and metabolomic profiling reveals the involvement of apoptosis in meat quality characteristics of ovine M. longissimus from different callipyge genotypes. Meat Science. 166. 108140–108140. 24 indexed citations
9.
Kim, Yuan H. Brad, Danyi Ma, Derico Setyabrata, et al.. (2018). Understanding postmortem biochemical processes and post-harvest aging factors to develop novel smart-aging strategies. Meat Science. 144. 74–90. 146 indexed citations
10.
Ma, Danyi, Yuan H. Brad Kim, Bruce R. Cooper, et al.. (2017). Metabolomics Profiling to Determine the Effect of Postmortem Aging on Color and Lipid Oxidative Stabilities of Different Bovine Muscles. Journal of Agricultural and Food Chemistry. 65(31). 6708–6716. 85 indexed citations
11.
Zhang, Xian, Yue Li, Xu An, et al.. (2016). A Mouse Model of Visual Perceptual Learning Reveals Alterations in Neuronal Coding and Dendritic Spine Density in the Visual Cortex. Frontiers in Behavioral Neuroscience. 10. 42–42. 12 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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