Nenad D. Ugrešić

47 papers and 676 indexed citations i.

About

Nenad D. Ugrešić is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Nenad D. Ugrešić has authored 47 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 18 papers in Physiology and 14 papers in Molecular Biology. Recurrent topics in Nenad D. Ugrešić’s work include Pain Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Memory and Neural Mechanisms (9 papers). Nenad D. Ugrešić is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Memory and Neural Mechanisms (9 papers). Nenad D. Ugrešić collaborates with scholars based in Serbia, United States and China. Nenad D. Ugrešić's co-authors include Maja Tomić, Radica Stepanović‐Petrović, Dragan Obradović, Miroslav M. Savić, Dubravko Bokonjić, Bogdan Bošković, Sonja Vučković, Milica Prostran, Gordana Leposavić and James M. Cook and has published in prestigious journals such as Pain, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Co-authorship network of co-authors of Nenad D. Ugrešić i

Fields of papers citing papers by Nenad D. Ugrešić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nenad D. Ugrešić. 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 Nenad D. Ugrešić. The network helps show where Nenad D. Ugrešić may publish in the future.

Countries citing papers authored by Nenad D. Ugrešić

Since Specialization
Citations

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