Martina Smolić
- Epidemiology top 10%
- Molecular Biology
- Surgery
- Hepatology top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Robert SmolićLucija KunaAleksandar VčevJelena JakabInes Bilić-ĆurčićTomislav KizivatNikola Raguž-LučićGeorge Y. Wu
- Topics
- Liver Disease Diagnosis and Treatment (19 papers)Hepatitis C virus research (8 papers)Diabetes Treatment and Management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesInternational Journal of Environmental Research and Public Health
- Partner nations
- CroatiaUnited StatesEgypt
In The Last Decade
Martina Smolić
62 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Epidemiology 297
- Molecular Biology 257
- Surgery 217
- Hepatology 203
- Endocrinology, Diabetes and Metabolism 160
Countries citing papers authored by Martina Smolić
This map shows the geographic impact of Martina Smolić'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 Martina Smolić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Smolić more than expected).
Fields of papers citing papers by Martina Smolić
This network shows the impact of papers produced by Martina Smolić. 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 Martina Smolić. The network helps show where Martina Smolić may publish in the future.
Co-authorship network of co-authors of Martina Smolić
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Smolić. A scholar is included among the top collaborators of Martina Smolić 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 Martina Smolić. Martina Smolić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 25 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 14 | |
| 19 | 75 | |
| 20 | 1 |
About Martina Smolić
Martina Smolić is a scholar working on Hepatology, Complementary and Manual Therapy and Pharmacology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (19 papers), Hepatitis C virus research (8 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Hepatology (203 citations), Pharmacology (152 citations) and Endocrinology, Diabetes and Metabolism (160 citations). Martina Smolić has collaborated with scholars based in Croatia, United States and Egypt. Frequent co-authors include Robert Smolić, Lucija Kuna, Aleksandar Včev, Jelena Jakab, Ines Bilić-Ćurčić, Tomislav Kizivat, Nikola Raguž-Lučić, George Y. Wu, Kristina Bojanić and Ashraf A. Tabll. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.
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.