Jagoda Pasic

33 total papers · 1.4k total citations
23 papers, 988 citations indexed

About

Jagoda Pasic is a scholar working on Pharmacology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jagoda Pasic has authored 23 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jagoda Pasic's work include Substance Abuse Treatment and Outcomes (3 papers), Schizophrenia research and treatment (3 papers) and Psychiatric care and mental health services (2 papers). Jagoda Pasic is often cited by papers focused on Substance Abuse Treatment and Outcomes (3 papers), Schizophrenia research and treatment (3 papers) and Psychiatric care and mental health services (2 papers). Jagoda Pasic collaborates with scholars based in United States and United Kingdom. Jagoda Pasic's co-authors include Joan Russo, Peter Roy‐Byrne, Mark D. Sullivan, Wayne C. Levy, Marcela Horvitz‐Lennon, Laura J. Fochtmann, Jane Mahoney, Cheryl D. Wills, Joel Yager and Donald M. Hilty and has published in prestigious journals such as American Journal of Psychiatry, Diabetes Care and Psychosomatic Medicine.

In The Last Decade

Jagoda Pasic

23 papers receiving 935 citations

Hit Papers

The American Psychiatric ... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jagoda Pasic 323 236 207 168 137 23 988
Karen L. Saban 135 0.4× 234 1.0× 225 1.1× 191 1.1× 179 1.3× 48 1.0k
Stefan Begré 159 0.5× 216 0.9× 192 0.9× 151 0.9× 206 1.5× 42 1.2k
Kathryn Magruder-Habib 345 1.1× 197 0.8× 193 0.9× 237 1.4× 77 0.6× 20 1.0k
Andrew McBride 278 0.9× 242 1.0× 308 1.5× 208 1.2× 61 0.4× 31 1.1k
Pauline Langeluddecke 162 0.5× 134 0.6× 137 0.7× 158 0.9× 172 1.3× 33 872
Anette Riisgaard Ribe 311 1.0× 77 0.3× 276 1.3× 95 0.6× 128 0.9× 22 902
Kari Ann Leiknes 611 1.9× 264 1.1× 187 0.9× 163 1.0× 111 0.8× 27 1.1k
Stephen M. Saravay 279 0.9× 332 1.4× 84 0.4× 205 1.2× 95 0.7× 37 939
C J Burns‐Cox 96 0.3× 218 0.9× 182 0.9× 72 0.4× 182 1.3× 37 994
Peter McManus 157 0.5× 141 0.6× 60 0.3× 131 0.8× 87 0.6× 30 968

Countries citing papers authored by Jagoda Pasic

Since Specialization
Citations

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

Fields of papers citing papers by Jagoda Pasic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagoda Pasic

This figure shows the co-authorship network connecting the top 25 collaborators of Jagoda Pasic. A scholar is included among the top collaborators of Jagoda Pasic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jagoda Pasic. Jagoda Pasic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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