Danielle M. Scheetz

1.3k citations
9 papers · 1.1k · h-index 9

Impact in

Papers in

Danielle M. Scheetz

9 papers receiving 1.0k citations

Peers

Danielle M. Scheetz
Comparison fields: 5 of 46
  • Agronomy and Crop Science 822
  • Reproductive Medicine 406
  • Public Health, Environmental and Occupational Health 697
  • Genetics 421
  • Animal Science and Zoology 90
Replace D. Rieger with:
D. Rieger Canada
Fábio Morotti Brazil
James J. Ireland United States
G.E. Seidel United States
Noah D. Poulin France
Pascal Salvetti France
BK Campbell United Kingdom
R.S. Jaiswal Canada
A.M. van Wagtendonk-de Leeuw Netherlands
Shokichi Iwamura Japan
Danielle M. Scheetz relative to D. Rieger Canada D. Rieger's profile →
Citations per field
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D. Rieger · 1×
Citations per year

Countries citing papers authored by Danielle M. Scheetz

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Scheetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Scheetz. 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 Danielle M. Scheetz. The network helps show where Danielle M. Scheetz may publish in the future.

Co-authors

The 23 scholars most cited alongside Danielle M. Scheetz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle M. Scheetz Line = papers co-authored together Danielle M. Scheetz links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008313
2 2010212
3 2009112
4 201597
5 201289
6 201780
7 201463
8 201161
9 201748

About Danielle M. Scheetz

Danielle M. Scheetz is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Animal Science and Zoology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (9 papers), Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (5 papers), Genetic and phenotypic traits in livestock (3 papers), Birth, Development, and Health (1 paper) and Effects of Environmental Stressors on Livestock (1 paper). The work is most often cited by research in Agronomy and Crop Science (822 citations), Reproductive Medicine (406 citations), Public Health, Environmental and Occupational Health (697 citations), Genetics (421 citations) and Animal Science and Zoology (90 citations). Danielle M. Scheetz has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Fermin Jimenez‐Krassel, A.C.O. Evans, James J. Ireland, G. W. Smith, P Lonergan, Francesca Mossa, J.L.H. Ireland, Joseph K. Folger, Axel P. N. Themmen and Fabian Ward. Their work appears in journals such as Journal of Dairy Science, Reproduction Fertility and Development, Biology of Reproduction, Reproduction in Domestic Animals and Reproduction.

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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