Einko Topper

1.7k total citations
30 papers, 1.3k citations indexed

About

Einko Topper is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, Einko Topper has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Reproductive Medicine, 17 papers in Public Health, Environmental and Occupational Health and 14 papers in Agronomy and Crop Science. Recurrent topics in Einko Topper's work include Sperm and Testicular Function (25 papers), Reproductive Biology and Fertility (17 papers) and Reproductive Physiology in Livestock (14 papers). Einko Topper is often cited by papers focused on Sperm and Testicular Function (25 papers), Reproductive Biology and Fertility (17 papers) and Reproductive Physiology in Livestock (14 papers). Einko Topper collaborates with scholars based in United States, Türkiye and Brazil. Einko Topper's co-authors include Erdoğan Memili, Abdullah Kaya, Arlindo A. Moura, B.M. Gadella, Szabolcs Nagy, J. Jansen, H. Woelders, T.T.N. Dinh, Grier P. Page and Jean M. Feugang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biology of Reproduction.

In The Last Decade

Einko Topper

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Einko Topper United States 19 961 783 414 288 271 30 1.3k
Mayra Elena Ortiz D’Ávila Assumpção Brazil 23 1.0k 1.1× 1.0k 1.3× 346 0.8× 250 0.9× 327 1.2× 115 1.6k
Rubens Paes de Arruda Brazil 19 902 0.9× 773 1.0× 335 0.8× 445 1.5× 108 0.4× 96 1.3k
José Antônio Visintin Brazil 19 663 0.7× 680 0.9× 334 0.8× 295 1.0× 246 0.9× 89 1.2k
Beatriz Macías‐García Spain 20 839 0.9× 749 1.0× 97 0.2× 171 0.6× 264 1.0× 67 1.2k
Mahnaz Ekhlasi‐Hundrieser Germany 19 783 0.8× 600 0.8× 176 0.4× 185 0.6× 245 0.9× 32 1.1k
T. Mogas Spain 28 1.5k 1.5× 1.8k 2.3× 227 0.5× 263 0.9× 558 2.1× 100 2.1k
Tamara Leahy Australia 22 1.0k 1.1× 770 1.0× 189 0.5× 273 0.9× 150 0.6× 40 1.2k
Masashi Nagano Japan 21 704 0.7× 941 1.2× 294 0.7× 316 1.1× 397 1.5× 117 1.5k
Věra Jonáková Czechia 22 794 0.8× 501 0.6× 240 0.6× 121 0.4× 405 1.5× 67 1.2k
Christopher G. Grupen Australia 29 1.1k 1.1× 1.6k 2.1× 615 1.5× 314 1.1× 813 3.0× 85 2.2k

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-authorship network of co-authors of Einko Topper

This figure shows the co-authorship network connecting the top 25 collaborators of Einko Topper. A scholar is included among the top collaborators of Einko Topper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Einko Topper. Einko Topper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Viana, Arabela Guedes de Azevedo, Fábio Pereira Gomes, Abdullah Kaya, et al.. (2024). Seminal proteoforms from bulls with contrasting semen freezability: a story deciphered by top-down mass spectrometry. Reproduction. 169(2). 1 indexed citations
2.
Kaya, Abdullah, Peter Vargovič, Naseer A. Kutchy, et al.. (2021). Sperm proteins ODF2 and PAWP as markers of fertility in breeding bulls. Cell and Tissue Research. 387(1). 159–171. 23 indexed citations
3.
Uğur, Muhammet Raşit, T.T.N. Dinh, Mustafa Hitit, et al.. (2020). Amino Acids of Seminal Plasma Associated With Freezability of Bull Sperm. Frontiers in Cell and Developmental Biology. 7. 347–347. 57 indexed citations
4.
Gomes, Fábio Pereira, Sung Kyu Robin Park, Arabela Guedes de Azevedo Viana, et al.. (2020). Protein signatures of seminal plasma from bulls with contrasting frozen-thawed sperm viability. Scientific Reports. 10(1). 14661–14661. 55 indexed citations
5.
Hitit, Mustafa, Muhammet Raşit Uğur, Thu T. Dinh, et al.. (2020). Cellular and Functional Physiopathology of Bull Sperm With Altered Sperm Freezability. Frontiers in Veterinary Science. 7. 581137–581137. 28 indexed citations
6.
Evans, Holly, Thu T. Dinh, Muhammet Raşit Uğur, et al.. (2020). Lipidomic markers of sperm cryotolerance in cattle. Scientific Reports. 10(1). 20192–20192. 22 indexed citations
7.
Dinh, T. T. N., et al.. (2019). Uncovering sperm metabolome to discover biomarkers for bull fertility. BMC Genomics. 20(1). 714–714. 78 indexed citations
8.
Uğur, Muhammet Raşit, Naseer A. Kutchy, Alper Uzun, et al.. (2019). Retained Acetylated Histone Four in Bull Sperm Associated With Fertility. Frontiers in Veterinary Science. 6. 223–223. 17 indexed citations
9.
Kutchy, Naseer A., Muhammet Raşit Uğur, Holly Evans, et al.. (2019). Sperm cellular and nuclear dynamics associated with bull fertility. Animal Reproduction Science. 211. 106203–106203. 18 indexed citations
10.
Dinh, T.T.N., et al.. (2018). Metabolomic markers of fertility in bull seminal plasma. PLoS ONE. 13(4). e0195279–e0195279. 88 indexed citations
11.
Viana, Arabela Guedes de Azevedo, Aline Maria Araújo Martins, Wagner Fontes, et al.. (2018). Proteomic landscape of seminal plasma associated with dairy bull fertility. Scientific Reports. 8(1). 16323–16323. 92 indexed citations
12.
Dinh, T. T. N., et al.. (2017). Metabolome profile of seminal plasma associated with bull fertility. Animal Reproduction. 14(1). 219–219. 1 indexed citations
13.
Vargovič, Peter, Rodrigo Vasconcelos de Oliveira, Abdullah Kaya, et al.. (2015). Sperm Protamine-Status Correlates to the Fertility of Breeding Bulls1. Biology of Reproduction. 92(4). 92–92. 91 indexed citations
14.
Oliveira, Rodrigo Vasconcelos de, et al.. (2013). Molecular morphology and function of bull spermatozoa linked to histones and associated with fertility. Reproduction. 146(3). 263–272. 48 indexed citations
15.
Uzun, Alper, Mehmet Osman Atlı, Abdullah Kaya, et al.. (2012). Dynamics of microRNAs in bull spermatozoa. Reproductive Biology and Endocrinology. 10(1). 82–82. 82 indexed citations
16.
Nagy, Szabolcs, J. Jansen, Einko Topper, & B.M. Gadella. (2003). A Triple-Stain Flow Cytometric Method to Assess Plasma- and Acrosome-Membrane Integrity of Cryopreserved Bovine Sperm Immediately after Thawing in Presence of Egg-Yolk Particles1. Biology of Reproduction. 68(5). 1828–1835. 232 indexed citations
17.
Topper, Einko, et al.. (1999). Influence of capacitation and fluids from the male and female genital tract on the zona binding ability of bull spermatozoa. Reproduction. 115(1). 175–183. 44 indexed citations
18.
19.
Topper, Einko, L. Kruijt, Juan J. Calvete, et al.. (1997). Identification of bovine zona pellucida glycoproteins. Molecular Reproduction and Development. 46(3). 344–350. 34 indexed citations
20.
Topper, Einko, et al.. (1997). Identification of bovine zona pellucida glycoproteins. Molecular Reproduction and Development. 46(3). 344–350. 5 indexed citations

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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