Asma Aberkane

8 papers receiving 378 citations

Asma Aberkane's Hit Papers

Modelling human blastocysts by reprogramming fibroblasts into iBlastoids 2021 · 246 citations
2460+1+3Years since publication50100150200

Peers

Asma Aberkane
Comparison fields: 5 of 48
  • Obstetrics and Gynecology 46
  • Reproductive Medicine 52
  • Immunology 85
  • Molecular Biology 255
  • Public Health, Environmental and Occupational Health 87
Replace Harunobu Kagawa with:
Harunobu Kagawa Austria
Giovanni Sestini Austria
Alexandre Bruneau France
Yvonne Scholte op Reimer Austria
Sophie Loubersac France
Alok Javali Austria
Theresa Maria Sommer Austria
Gaël Castel France
Daniel A. Schmitz United States
Liangwen Zhong China
Asma Aberkane relative to Harunobu Kagawa Austria Harunobu Kagawa's profile →
Citations per field
00.5×4.4×
Harunobu Kagawa · 1×
Citations per year

Countries citing papers authored by Asma Aberkane

Since Specialization
Citations

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

Fields of papers citing papers by Asma Aberkane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Modelling human blastocysts by reprogramming fibroblasts into iBlastoids
Hit paper breakdown →
2021246
2 201743
3 201330
4 201829
5 201819
6 202113
7 20215
8 20211

About Asma Aberkane

Asma Aberkane is a scholar working on Molecular Biology, Immunology, Surgery, Public Health, Environmental and Occupational Health and Cell Biology, having authored 8 papers that have together received 386 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Reproductive System and Pregnancy (3 papers), Reproductive Biology and Fertility (2 papers), Microtubule and mitosis dynamics (2 papers), CRISPR and Genetic Engineering (1 paper), Gynecological conditions and treatments (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Obstetrics and Gynecology (46 citations), Reproductive Medicine (52 citations), Immunology (85 citations), Molecular Biology (255 citations) and Public Health, Environmental and Occupational Health (87 citations). Asma Aberkane has collaborated with scholars based in Belgium, Australia and Singapore. Frequent co-authors include Jennifer Zenker, John F. Ouyang, Sue Mei Lim, Daniel Poppe, Amander T. Clark, Joseph Chen, Monika Mohenska, Yu Sun, José M. Polo and Owen J. L. Rackham. Their work appears in journals such as Molecular Human Reproduction, Fertility and Sterility, Development, Journal of Visualized Experiments and Nature.

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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