Cansu Agca

1.4k citations
55 papers · 1.1k · h-index 19

Impact in

    • Sperm and Testicular Function
  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Reproductive biology and impacts on aquatic species

Papers in

Cansu Agca

55 papers receiving 1.0k citations

Peers

Cansu Agca
Comparison fields: 5 of 88
  • Reproductive Medicine 290
  • Physiology 92
  • Public Health, Environmental and Occupational Health 389
  • Agronomy and Crop Science 119
  • Neurology 87
Replace Sheng Cui with:
Sheng Cui China
Jingli Tao China
Ismail H. Zwain United States
C. S. Sheela Rani United States
María Eugenia Matzkin Argentina
Gladis Sánchez United States
Iwona Bogacka Poland
Claude Le Goascogne France
Cansu Agca relative to Sheng Cui China Sheng Cui's profile →
Citations per field
00.5×7.9×
Sheng Cui · 1×
Citations per year

Countries citing papers authored by Cansu Agca

Since Specialization
Citations

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

Fields of papers citing papers by Cansu Agca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005116
2 200267
3 200856
4 200852
5 201247
6 201344
7 200844
8 200943
9 202040
10 200836
11 201836
12 200635
13 201330
14 201827
15
The use of microarrays to define functionally-related genes that are differentially expressed in the cycling pig uterus.
200624
16 201223
17 201220
18 201519
19 201919
20 200418

About Cansu Agca

Cansu Agca is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Physiology, Genetics and Molecular Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (23 papers), Sperm and Testicular Function (16 papers), Alzheimer's disease research and treatments (11 papers), Animal Genetics and Reproduction (10 papers), Ovarian function and disorders (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Adenosine and Purinergic Signaling (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). The work is most often cited by research in Reproductive Medicine (290 citations), Physiology (92 citations), Public Health, Environmental and Occupational Health (389 citations), Agronomy and Crop Science (119 citations) and Neurology (87 citations). Cansu Agca has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Yüksel Ağca, Ömer Varışlı, Cevdet Uğuz, Randall S. Prather, Shawn S. Donkin, Kristin M. Whitworth, Jennifer R. Hartwell, Gordon K. Springer, Nagappan Mathialagan and Lawrence J. Forrester. Their work appears in journals such as Cryobiology, Reproduction Fertility and Development, Animal Reproduction Science, Journal of Neuroinflammation and PLoS ONE.

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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