John Underwood

764 total citations
9 papers, 588 citations indexed

About

John Underwood is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, John Underwood has authored 9 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Agronomy and Crop Science, 3 papers in Genetics and 2 papers in Small Animals. Recurrent topics in John Underwood's work include Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (4 papers) and Virus-based gene therapy research (2 papers). John Underwood is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (4 papers) and Virus-based gene therapy research (2 papers). John Underwood collaborates with scholars based in United States, Canada and India. John Underwood's co-authors include J.K. Drackley, H.M. Dann, N.B. Litherland, Neil J. Douglas, Juan J. Loor, Massimo Bionaz, Antonio D’Angelo, J.W. McFadden, Jeffrey A. Medin and K. Tao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The FASEB Journal.

In The Last Decade

John Underwood

8 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Underwood United States 5 422 274 124 104 73 9 588
R. Michael Akers United States 10 414 1.0× 271 1.0× 101 0.8× 98 0.9× 53 0.7× 16 614
P.J. Eppard United States 14 397 0.9× 370 1.4× 102 0.8× 61 0.6× 66 0.9× 19 665
H. J. Howard United States 14 329 0.8× 187 0.7× 35 0.3× 88 0.8× 41 0.6× 22 611
Fernando Silveira Mesquita Brazil 15 395 0.9× 235 0.9× 56 0.5× 171 1.6× 13 0.2× 35 724
V. Schutzkus United States 13 315 0.7× 476 1.7× 49 0.4× 246 2.4× 19 0.3× 15 782
Stephen Davis Australia 10 111 0.3× 57 0.2× 44 0.4× 59 0.6× 42 0.6× 13 345
Jinyi Tong China 11 180 0.4× 117 0.4× 80 0.6× 288 2.8× 40 0.5× 27 706
Shadi Nayeri Canada 11 171 0.4× 422 1.5× 84 0.7× 83 0.8× 13 0.2× 18 555
F.M. Rodríguez Argentina 14 239 0.6× 99 0.4× 56 0.5× 63 0.6× 17 0.2× 20 408
Jennifer R. Hartwell United States 11 147 0.3× 165 0.6× 15 0.1× 198 1.9× 21 0.3× 14 430

Countries citing papers authored by John Underwood

Since Specialization
Citations

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

Fields of papers citing papers by John Underwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Underwood

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

All Works

9 of 9 papers shown
1.
Underwood, John, J.H. Clark, F.C. Cardoso, P.T. Chandler, & J.K. Drackley. (2022). Production, metabolism, and follicular dynamics in multiparous dairy cows fed diets providing different amounts of metabolizable protein prepartum and postpartum. Journal of Dairy Science. 105(5). 4032–4047. 4 indexed citations
3.
Dann, H.M., N.B. Litherland, John Underwood, et al.. (2006). Diets During Far-Off and Close-Up Dry Periods Affect Periparturient Metabolism and Lactation in Multiparous Cows. Journal of Dairy Science. 89(9). 3563–3577. 211 indexed citations
4.
Drackley, J.K., H.M. Dann, Neil J. Douglas, et al.. (2005). Physiological and pathological adaptations in dairy cows that may increase susceptibility to periparturient diseases and disorders. Italian Journal of Animal Science. 4(4). 323–344. 240 indexed citations
5.
Siatskas, Christopher, John Underwood, Ali Ramezani, Robert G. Hawley, & Jeffrey A. Medin. (2005). Specific pharmacological dimerization of KDR in lentivirally transduced human hematopoietic cells activates antiapoptotic and proliferative mechanisms. The FASEB Journal. 19(12). 1752–1754. 10 indexed citations
6.
Evans, Andrew, Brenda L. Gallie, Michael A.S. Jewett, et al.. (2004). Defining a 0.5-Mb Region of Genomic Gain on Chromosome 6p22 in Bladder Cancer by Quantitative-Multiplex Polymerase Chain Reaction. American Journal Of Pathology. 164(1). 285–293. 45 indexed citations
7.
Yoshimitsu, Makoto, Takeya Sato, K. Tao, et al.. (2004). Bioluminescent imaging of a marking transgene and correction of Fabry mice by neonatal injection of recombinant lentiviral vectors. Proceedings of the National Academy of Sciences. 101(48). 16909–16914. 73 indexed citations
8.
Underwood, John. (2003). Protein Nutrition of Dairy Cows During the Transition Period. 4 indexed citations
9.
Underwood, John. (1990). What are the real costs for staff-assisted home dialysis?. PubMed. 4(2). 20–20. 1 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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