Jay Yanke

561 total citations
7 papers, 422 citations indexed

About

Jay Yanke is a scholar working on Molecular Biology, Agronomy and Crop Science and Biomedical Engineering. According to data from OpenAlex, Jay Yanke has authored 7 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Agronomy and Crop Science and 3 papers in Biomedical Engineering. Recurrent topics in Jay Yanke's work include Biofuel production and bioconversion (3 papers), Anaerobic Digestion and Biogas Production (2 papers) and Milk Quality and Mastitis in Dairy Cows (1 paper). Jay Yanke is often cited by papers focused on Biofuel production and bioconversion (3 papers), Anaerobic Digestion and Biogas Production (2 papers) and Milk Quality and Mastitis in Dairy Cows (1 paper). Jay Yanke collaborates with scholars based in Canada and United States. Jay Yanke's co-authors include Tim A. McAllister, Alister D. Muir, K.-J. Cheng, Robert J. Gruninger, Brandon H. Gilroyed, Xiying Hao, Valentine Nkongndem Nkemka, Trevor W. Alexander, R. R. Read and L. Brent Selinger and has published in prestigious journals such as Applied and Environmental Microbiology, Bioresource Technology and Frontiers in Microbiology.

In The Last Decade

Jay Yanke

7 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Yanke Canada 6 144 137 96 87 75 7 422
Svetlana A. Kocherginskaya United States 8 146 1.0× 240 1.8× 108 1.1× 22 0.3× 70 0.9× 12 500
Sung-Jae Yang South Korea 8 73 0.5× 146 1.1× 131 1.4× 24 0.3× 48 0.6× 14 405
Takumi Shinkai Japan 14 568 3.9× 249 1.8× 89 0.9× 120 1.4× 94 1.3× 28 881
Meng Qi Canada 12 103 0.7× 240 1.8× 204 2.1× 23 0.3× 101 1.3× 15 488
Bhima Bhukya India 13 81 0.6× 223 1.6× 170 1.8× 21 0.2× 63 0.8× 28 490
Eiichi Miyagawa Japan 14 101 0.7× 246 1.8× 68 0.7× 68 0.8× 58 0.8× 21 493
Pedro Braga Arcuri Brazil 14 251 1.7× 42 0.3× 15 0.2× 33 0.4× 70 0.9× 36 430
Irene da Silva Coelho Brazil 12 80 0.6× 143 1.0× 26 0.3× 15 0.2× 128 1.7× 58 508
Nidhi Parmar India 11 248 1.7× 213 1.6× 63 0.7× 29 0.3× 58 0.8× 31 462
Ankit Hinsu India 11 87 0.6× 203 1.5× 81 0.8× 17 0.2× 112 1.5× 28 514

Countries citing papers authored by Jay Yanke

Since Specialization
Citations

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

Fields of papers citing papers by Jay Yanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Yanke

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

All Works

7 of 7 papers shown
1.
Nkemka, Valentine Nkongndem, Xiying Hao, Jay Yanke, et al.. (2021). Effect of Bioaugmentation with Anaerobic Fungi Isolated from Ruminants on the Hydrolysis of Corn Silage and Phragmites australis. Applied Sciences. 11(19). 9123–9123. 3 indexed citations
2.
Amat, Samat, Edouard Timsit, Danica Baines, Jay Yanke, & Trevor W. Alexander. (2019). Development of Bacterial Therapeutics against the Bovine Respiratory Pathogen Mannheimia haemolytica. Applied and Environmental Microbiology. 85(21). 32 indexed citations
3.
Gruninger, Robert J., Thi Truc Minh Nguyen, Ian D. Reid, et al.. (2018). Application of Transcriptomics to Compare the Carbohydrate Active Enzymes That Are Expressed by Diverse Genera of Anaerobic Fungi to Degrade Plant Cell Wall Carbohydrates. Frontiers in Microbiology. 9. 1581–1581. 49 indexed citations
4.
Nkemka, Valentine Nkongndem, Brandon H. Gilroyed, Jay Yanke, et al.. (2015). Bioaugmentation with an anaerobic fungus in a two-stage process for biohydrogen and biogas production using corn silage and cattail. Bioresource Technology. 185. 79–88. 92 indexed citations
5.
Asif, Muhammad, François Eudes, Harpinder Randhawa, et al.. (2013). Cefotaxime prevents microbial contamination and improves microspore embryogenesis in wheat and triticale. Plant Cell Reports. 32(10). 1637–1646. 31 indexed citations
6.
Alexander, Trevor W., Jay Yanke, Tim Reuter, et al.. (2011). Longitudinal characterization of antimicrobial resistance genes in feces shed from cattle fed different subtherapeutic antibiotics. BMC Microbiology. 11(1). 19–19. 72 indexed citations
7.
McAllister, Tim A., et al.. (1993). Effects of Condensed Tannins on Endoglucanase Activity and Filter Paper Digestion by Fibrobacter succinogenes S85. Applied and Environmental Microbiology. 59(7). 2132–2138. 143 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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