Danielle M. Scheetz

1.3k citations
14 papers · 1.0k indexed · h-index 9

Danielle M. Scheetz

14 papers receiving 1000 citations

Peers

Danielle M. Scheetz
Comparison fields: 5 of 48
  • Agronomy and Crop Science 818
  • Reproductive Medicine 422
  • Public Health, Environmental and Occupational Health 705
  • Genetics 414
  • Animal Science and Zoology 89
Replace J. J. Ireland with:
J. J. Ireland United States
Fábio Morotti Brazil
J.H.G. den Daas Netherlands
G.E. Seidel United States
R.S. Jaiswal Canada
Fabiana de Andrade Melo-Sterza Brazil
B. V. Sanches Brazil
A.M. van Wagtendonk-de Leeuw Netherlands
Pascal Salvetti France
J. A. Visintin Brazil
Danielle M. Scheetz relative to J. J. Ireland United States J. J. Ireland's profile →
Citations per field
00.5×2.8×
J. J. Ireland · 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-authorship network

The 25 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

14 of 14 papers shown
#Work
1 201773
2 201744
3 201593
4 201460
5 201283
6 2011199
7 201159
8 20102
9 20103
10 20101
11 2009107
12 20091
13 20091
14 2008298

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 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (12 papers), Reproductive Biology and Fertility (10 papers), Ovarian function and disorders (6 papers), Genetic and phenotypic traits in livestock (4 papers), Milk Quality and Mastitis in Dairy Cows (1 paper), Hermeneutics and Narrative Identity (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Agronomy and Crop Science (818 citations), Reproductive Medicine (422 citations), Public Health, Environmental and Occupational Health (705 citations), Genetics (414 citations) and Animal Science and Zoology (89 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, P. Lonergan, G. W. Smith, F. Mossa, J.L.H. Ireland, Joseph K. Folger, Gloria I. Perez and Axel P. N. Themmen. Their work appears in journals such as Biology of Reproduction, Journal of Dairy Science, Reproduction Fertility and Development, 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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