Nina Rawal

12 papers and 1.5k indexed citations i.

About

Nina Rawal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nina Rawal has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Nina Rawal’s work include Wnt/β-catenin signaling in development and cancer (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Nuclear Receptors and Signaling (4 papers). Nina Rawal is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Nuclear Receptors and Signaling (4 papers). Nina Rawal collaborates with scholars based in Sweden, France and United States. Nina Rawal's co-authors include Ernest Arenas, Gonçalo Castelo‐Branco, Kyle M. Sousa, Gunnar Schulte, Vı́tězslav Bryja, Julianna Kele, Alexis Brice, Elaine Fuchs, Jan Kitajewski and Francisco Javier Rodríguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Brain.

In The Last Decade

Co-authorship network of co-authors of Nina Rawal i

Fields of papers citing papers by Nina Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Rawal

Since Specialization
Citations

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