Einko Topper

30 papers receiving 1.3k citations

Peers

Einko Topper
Comparison fields: 5 of 78
  • Reproductive Medicine 961
  • Agronomy and Crop Science 288
  • Public Health, Environmental and Occupational Health 783
  • Physiology 109
  • Genetics 414
Replace Mayra Elena Ortiz D’Ávila Assumpção with:
Mayra Elena Ortiz D’Ávila Assumpção Brazil
Beatriz Macías‐García Spain
T. Mogas Spain
José Antônio Visintin Brazil
Rubens Paes de Arruda Brazil
Tamara Leahy Australia
Masashi Nagano Japan
Mahnaz Ekhlasi‐Hundrieser Germany
Władysław Kordan Poland
Jessica P. Rickard Australia
Einko Topper relative to Mayra Elena Ortiz D’Ávila Assumpção Brazil Mayra Elena Ortiz D’Ávila Assumpção's profile →
Citations per field
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Mayra Elena Ortiz D’Ávila Assumpção · 1×
Citations per year

Countries citing papers authored by Einko Topper

Since Specialization
Citations

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

Fields of papers citing papers by Einko Topper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003232
2 2010101
3 201892
4 201591
5 201888
6 201282
7 201978
8 200962
9 202057
10 202055
11 201348
12 199944
13 201740
14 199734
15 199834
16 202028
17 201926
18 202123
19 202022
20 201918

About Einko Topper

Einko Topper is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Genetics and Molecular Biology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (25 papers), Reproductive Biology and Fertility (17 papers), Reproductive Physiology in Livestock (14 papers), Animal Genetics and Reproduction (6 papers), Genetic and phenotypic traits in livestock (4 papers), Reproductive biology and impacts on aquatic species (3 papers), MicroRNA in disease regulation (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Reproductive Medicine (961 citations), Agronomy and Crop Science (288 citations), Public Health, Environmental and Occupational Health (783 citations), Physiology (109 citations) and Genetics (414 citations). Einko Topper has collaborated with scholars based in United States, Türkiye and Brazil. Frequent co-authors include Erdoğan Memili, Abdullah Kaya, Arlindo A. Moura, B.M. Gadella, J. Jansen, Szabolcs Nagy, H. Woelders, T.T.N. Dinh, Jean M. Feugang and Muhammet Raşit Uğur. Their work appears in journals such as Biology of Reproduction, Scientific Reports, Reproduction, Frontiers in Veterinary Science and Reproduction Fertility and Development.

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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