Ágnes Kittel

107 papers and 9.5k indexed citations i.

About

Ágnes Kittel is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Ágnes Kittel has authored 107 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 25 papers in Physiology and 15 papers in Immunology. Recurrent topics in Ágnes Kittel’s work include Extracellular vesicles in disease (37 papers), Adenosine and Purinergic Signaling (25 papers) and MicroRNA in disease regulation (9 papers). Ágnes Kittel is often cited by papers focused on Extracellular vesicles in disease (37 papers), Adenosine and Purinergic Signaling (25 papers) and MicroRNA in disease regulation (9 papers). Ágnes Kittel collaborates with scholars based in Hungary, United States and Germany. Ágnes Kittel's co-authors include Edit I. Buzás, Tamás Szabó, György Nagy, Éva Pállinger, András Falus, Bence György, Petra Misják, Mária Pásztói, Eliezer Masliah and Tsunao Saitoh and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Ágnes Kittel i

Fields of papers citing papers by Ágnes Kittel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Kittel

Since Specialization
Citations

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