Olgica Nedić
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Clinical Biochemistry top 5%
- Immunology
- Co-authors
- Nikola GligorijevićRomana MasnikosaDragana RobajacSuresh I. S. RattanGoran MiljušTilman GruneIoannis P. TrougakosMarcel Ausloos
- Topics
- Growth Hormone and Insulin-like Growth Factors (52 papers)Metabolism, Diabetes, and Cancer (24 papers)Glycosylation and Glycoproteins Research (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
In The Last Decade
Olgica Nedić
136 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 165
- Molecular Biology 434
- Endocrinology, Diabetes and Metabolism 289
- Physiology 124
- Clinical Biochemistry 110
- Immunology 110
Countries citing papers authored by Olgica Nedić
This map shows the geographic impact of Olgica Nedić'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 Olgica Nedić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olgica Nedić more than expected).
Fields of papers citing papers by Olgica Nedić
This network shows the impact of papers produced by Olgica Nedić. 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 Olgica Nedić. The network helps show where Olgica Nedić may publish in the future.
Co-authorship network of co-authors of Olgica Nedić
This figure shows the co-authorship network connecting the top 25 collaborators of Olgica Nedić. A scholar is included among the top collaborators of Olgica Nedić 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 Olgica Nedić. Olgica Nedić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | Supplementary material to: "Efficiency in managing peer-review of scientific manuscripts – Editors’ perspective" | 0 |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 10 | |
| 20 | 24 |
About Olgica Nedić
Olgica Nedić is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Cancer Research, having authored 141 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (52 papers), Metabolism, Diabetes, and Cancer (24 papers) and Glycosylation and Glycoproteins Research (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (289 citations), Clinical Biochemistry (110 citations) and Health Informatics (13 citations). Olgica Nedić has collaborated with scholars based in Serbia, Slovakia and Hungary. Frequent co-authors include Nikola Gligorijević, Romana Masnikosa, Dragana Robajac, Suresh I. S. Rattan, Goran Miljuš, Tilman Grune, Ioannis P. Trougakos, Marcel Ausloos, Agata Fronczak and Jaroslav Katrlı́k. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.