D. Rieger

2.2k citations
43 papers · 1.8k indexed · h-index 19

D. Rieger

42 papers receiving 1.7k citations

Peers

D. Rieger
Comparison fields: 5 of 78
  • Reproductive Medicine 678
  • Agronomy and Crop Science 523
  • Public Health, Environmental and Occupational Health 1.5k
  • Genetics 581
  • Pediatrics, Perinatology and Child Health 273
Replace K. P. McNatty with:
K. P. McNatty New Zealand
J.H.G. den Daas Netherlands
D. Bousquet Canada
Rozenn Dalbiès‐Tran France
B. Avery United Kingdom
N. L. Hudson New Zealand
Margot Alves Nunes Dode Brazil
F. Ward Ireland
Peter G. Humpherson United Kingdom
V. Havlíček Austria
D. Rieger relative to K. P. McNatty New Zealand K. P. McNatty's profile →
Citations per field
00.5×1.5×1.9×
K. P. McNatty · 1×
Citations per year

Countries citing papers authored by D. Rieger

Since Specialization
Citations

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

Fields of papers citing papers by D. Rieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Rieger, 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 D. Rieger Line = papers co-authored together D. Rieger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201210
2 20129
3 200218
4 1999253
5 199882
6 19971
7 199555
8 1994131
9 199412
10 199326
11 19936
12 1992133
13 1992175
14 199126
15 1991162
16 19913
17 198820
18 198896
19 1984143
20 19776

About D. Rieger

D. Rieger is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health, Equine and Genetics, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (24 papers), Reproductive Physiology in Livestock (19 papers), Sperm and Testicular Function (8 papers), Genetic and phenotypic traits in livestock (5 papers), Ovarian function and disorders (5 papers), Animal Genetics and Reproduction (5 papers), Pluripotent Stem Cells Research (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Reproductive Medicine (678 citations), Agronomy and Crop Science (523 citations), Public Health, Environmental and Occupational Health (1.5k citations), Genetics (581 citations) and Pediatrics, Perinatology and Child Health (273 citations). D. Rieger has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include K.J. Betteridge, N.M. Loskutoff, N.C. Rawlings, P. Guay, I.A. Jeffcoate, H. Khatir, François Piumi, P. Humblot, B. R. Yadav and W.A. King. Their work appears in journals such as Theriogenology, Reproduction, Reproduction Fertility and Development, Domestic Animal Endocrinology and Journal of Virology.

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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