D.V. Nydam

9.1k total citations · 2 hit papers
188 papers, 6.9k citations indexed

About

D.V. Nydam is a scholar working on Agronomy and Crop Science, Small Animals and Genetics. According to data from OpenAlex, D.V. Nydam has authored 188 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Agronomy and Crop Science, 60 papers in Small Animals and 48 papers in Genetics. Recurrent topics in D.V. Nydam's work include Reproductive Physiology in Livestock (70 papers), Milk Quality and Mastitis in Dairy Cows (43 papers) and Genetic and phenotypic traits in livestock (42 papers). D.V. Nydam is often cited by papers focused on Reproductive Physiology in Livestock (70 papers), Milk Quality and Mastitis in Dairy Cows (43 papers) and Genetic and phenotypic traits in livestock (42 papers). D.V. Nydam collaborates with scholars based in United States, Canada and Germany. D.V. Nydam's co-authors include T.R. Overton, J.A.A. McArt, P.A. Ospina, Tracy Stokol, Garrett R. Oetzel, Sabine Mann, Hussni O. Mohammed, Alan J. Nixon, Markus Wilke and Francisco A. Leal Yepes and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

D.V. Nydam

183 papers receiving 6.7k citations

Hit Papers

Evaluation of nonesterified fatty acids and β-hydroxybuty... 2010 2026 2015 2020 2010 2012 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
D.V. Nydam United States 44 4.5k 2.4k 1.9k 1.5k 842 188 6.9k
K. Lissemore Canada 36 2.9k 0.6× 1.8k 0.8× 2.0k 1.0× 1.1k 0.7× 373 0.4× 111 4.7k
P.D. Eckersall United Kingdom 52 2.6k 0.6× 872 0.4× 4.5k 2.4× 2.2k 1.5× 1.3k 1.6× 258 9.9k
Jorge A. Hernández United States 35 1.4k 0.3× 720 0.3× 1.4k 0.7× 642 0.4× 679 0.8× 160 4.2k
Marcus G. Doherr Switzerland 44 1.1k 0.2× 704 0.3× 1.8k 1.0× 567 0.4× 703 0.8× 266 5.9k
John P. Kastelic Canada 55 7.8k 1.7× 5.7k 2.4× 1.3k 0.7× 2.4k 1.6× 305 0.4× 369 11.7k
Nils Toft Denmark 37 1.5k 0.3× 615 0.3× 1.6k 0.8× 605 0.4× 1.0k 1.2× 189 5.1k
U. Braun Switzerland 37 1.5k 0.3× 404 0.2× 2.4k 1.3× 935 0.6× 1.0k 1.2× 372 5.8k
Peter J. Cripps United Kingdom 35 1.3k 0.3× 756 0.3× 1.7k 0.9× 883 0.6× 276 0.3× 134 4.5k
R.O. Gilbert United States 50 5.8k 1.3× 2.9k 1.2× 1.8k 0.9× 975 0.7× 163 0.2× 167 8.4k
Carola Sauter‐Louis Germany 36 1.5k 0.3× 568 0.2× 685 0.4× 626 0.4× 1.2k 1.4× 171 4.0k

Countries citing papers authored by D.V. Nydam

Since Specialization
Citations

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

Fields of papers citing papers by D.V. Nydam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.V. Nydam. 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 D.V. Nydam. The network helps show where D.V. Nydam may publish in the future.

Co-authorship network of co-authors of D.V. Nydam

This figure shows the co-authorship network connecting the top 25 collaborators of D.V. Nydam. A scholar is included among the top collaborators of D.V. Nydam 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 D.V. Nydam. D.V. Nydam 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.
Rowe, Sam, Éric Zhang, S. Godden, A.K. Vasquez, & D.V. Nydam. (2024). Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections. Journal of Dairy Science. 108(1). 760–772. 3 indexed citations
3.
Nydam, D.V., et al.. (2023). Dairy production sustainability through a one-health lens. Journal of the American Veterinary Medical Association. 261(1). 12–16. 3 indexed citations
4.
Watters, R.D., et al.. (2023). Multivariable time series classification for clinical mastitis detection and prediction in automated milking systems. Journal of Dairy Science. 106(5). 3448–3464. 9 indexed citations
7.
Wilson, Warren M., D.V. Nydam, S. Craig Gerlach, et al.. (2022). Contextualized understandings of dairy farmers' perspectives on antimicrobial use and regulation in Alberta, Canada. Journal of Dairy Science. 106(1). 547–564. 9 indexed citations
8.
Duhamel, G, et al.. (2021). Effect of passive antibodies derived from rotavirus-like particles on neonatal calf diarrhea caused by rotavirus in an oral challenge model. Journal of Dairy Science. 104(11). 11922–11930. 2 indexed citations
9.
Gioia, G., María Filippa Addis, Carlos Santisteban, et al.. (2021). Mycoplasma species isolated from bovine milk collected from US dairy herds between 2016 and 2019. Journal of Dairy Science. 104(4). 4813–4821. 9 indexed citations
10.
Rowe, Sam, D.V. Nydam, S. Godden, et al.. (2021). Partial budget analysis of culture- and algorithm-guided selective dry cow therapy. Journal of Dairy Science. 104(5). 5652–5664. 22 indexed citations
11.
Wieland, Matthias, et al.. (2020). Blood perfusion of teat tissue in dairy cows: Changes associated with pre-milking stimulation and machine milking. Journal of Dairy Science. 103(7). 6588–6599. 8 indexed citations
12.
Yasui, Takashi, et al.. (2014). Associations of cytological endometritis with energy metabolism and inflammation during the periparturient period and early lactation in dairy cows. Journal of Dairy Science. 97(5). 2763–2770. 33 indexed citations
13.
Ospina, P.A., D.V. Nydam, Tracy Stokol, & T.R. Overton. (2010). Evaluation of nonesterified fatty acids and β-hydroxybutyrate in transition dairy cattle in the northeastern United States: Critical thresholds for prediction of clinical diseases. Journal of Dairy Science. 93(2). 546–554. 469 indexed citations breakdown →
14.
Jesty, Sophy A., et al.. (2010). The Effects of Pentoxifylline on Equine Platelet Aggregation. Journal of Veterinary Internal Medicine. 24(5). 1196–1202. 11 indexed citations
15.
Guard, C.L., D.V. Nydam, & Stefan Eicker. (2006). Field Trial of Vaccination against Leptospira borgpetersenii serovar hardjo bovis in a Single New York Dairy Herd. American Association of Bovine Practitioners Conference Proceedings. 160–161. 2 indexed citations
16.
Nydam, D.V. & Andrew S. Peregrine. (2005). Present and Future Control of Cryptosporidiosis in Cattle. American Association of Bovine Practitioners Conference Proceedings. 15–18. 2 indexed citations
17.
Schatzberg, Scott J., D.V. Nydam, Jennifer G. Barrett, et al.. (2004). The Effect of Hypocretin Replacement Therapy in a 3-Year-Old Weimaraner with Narcolepsy. Journal of Veterinary Internal Medicine. 18(4). 586–586. 23 indexed citations
18.
Schatzberg, Scott J., D.V. Nydam, Jennifer G. Barrett, et al.. (2004). The Effect of Hypocretin Replacement Therapy in a 3-Year-Old Weimaraner with Narcolepsy. Journal of Veterinary Internal Medicine. 18(4). 586–588. 21 indexed citations
19.
Nydam, D.V., et al.. (2004). The Opportunities Map at Cornell University: Finding Direction in Dairy Production Medicine. Journal of Veterinary Medical Education. 31(4). 384–386. 2 indexed citations
20.
Nydam, D.V., et al.. (2004). Case report. The Bovine Practitioner. 147–154. 2 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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