Beate Walter

32 papers receiving 534 citations

Peers

Beate Walter
Comparison fields: 5 of 79
  • Small Animals 169
  • Equine 23
  • Reproductive Medicine 110
  • Agronomy and Crop Science 93
  • Pediatrics, Perinatology and Child Health 100
Replace D. Groppetti with:
D. Groppetti Italy
Fernanda Radicchi Campos Lobato de Almeida Brazil
Jennifer Cummins Australia
Riccardo Zelli Italy
M. H. Pineda United States
Małgorzata Ochota Poland
Thomas J. Reimers United States
Yanina Corrada Argentina
K Arbeiter Austria
Ann Pettersson Sweden
Beate Walter relative to D. Groppetti Italy D. Groppetti's profile →
Citations per field
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D. Groppetti · 1×
Citations per year

Countries citing papers authored by Beate Walter

Since Specialization
Citations

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

Fields of papers citing papers by Beate Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 201064
3 201156
4 201049
5 201339
6 201131
7 201825
8 201925
9 198521
10 202017
11 202115
12 197413
13 198712
14 202210
15 20159
16 20228
17 20218
18 20228
19 20166
20 20245

About Beate Walter

Beate Walter is a scholar working on Small Animals, Reproductive Medicine, Molecular Biology, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 553 indexed citations. Recurring topics across this work include Veterinary Medicine and Surgery (14 papers), Reproductive Physiology in Livestock (9 papers), Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (7 papers), Sexual Differentiation and Disorders (5 papers), Sperm and Testicular Function (3 papers), Rabbits: Nutrition, Reproduction, Health (3 papers) and Horticultural and Viticultural Research (3 papers). The work is most often cited by research in Small Animals (169 citations), Equine (23 citations), Reproductive Medicine (110 citations), Agronomy and Crop Science (93 citations) and Pediatrics, Perinatology and Child Health (100 citations). Beate Walter has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Christiane Otzdorff, Tanja Poth, D. Rating, Georgia Ramantani, Chrysanthy Ikonomidou, Jürgen Braun, Nicolas Brugger, Sven Reese, W. Hecht and W. Hermanns. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Domestic Animal Endocrinology, Animals and Clinical Chemistry.

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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