Azra Fatima

24 papers and 760 indexed citations i.

About

Azra Fatima is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Azra Fatima has authored 24 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Surgery. Recurrent topics in Azra Fatima’s work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Azra Fatima is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Azra Fatima collaborates with scholars based in Germany, United States and China. Azra Fatima's co-authors include David Vı́lchez, Ricardo Gutiérrez-García, Tomo Šarić, Seda Koyuncu, Kurt Pfannkuche, Jürgen Hescheler, Marius Wernig, Huamin Liang, Guoxing Xu and Juergen Hescheler and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Azra Fatima i

Fields of papers citing papers by Azra Fatima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Azra Fatima

Since Specialization
Citations

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

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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2025