Nina Mohorko
- Physiology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Public Health, Environmental and Occupational Health
- Cell Biology
- Co-authors
- Ana PetelinZala Jenko PražnikarSaša KenigMaša Černelič-BizjakMara BresjanacGianni BioloMihaela JurdanaGrega Repovš
- Topics
- Diet and metabolism studies (13 papers)Nutritional Studies and Diet (7 papers)Muscle metabolism and nutrition (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsNutrients
In The Last Decade
Nina Mohorko
27 papers receiving 407 citations
Peers
Comparison fields: 5 of 94
- Physiology 256
- Molecular Biology 78
- Endocrinology, Diabetes and Metabolism 74
- Public Health, Environmental and Occupational Health 60
- Cell Biology 37
Countries citing papers authored by Nina Mohorko
This map shows the geographic impact of Nina Mohorko'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 Nina Mohorko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Mohorko more than expected).
Fields of papers citing papers by Nina Mohorko
This network shows the impact of papers produced by Nina Mohorko. 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 Nina Mohorko. The network helps show where Nina Mohorko may publish in the future.
Co-authorship network of co-authors of Nina Mohorko
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Mohorko. A scholar is included among the top collaborators of Nina Mohorko 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 Nina Mohorko. Nina Mohorko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 111 | |
| 13 | EXERCISE AND THE AGEING IMMUNE SYSTEM | 1 |
| 14 | Markers of bone metabolism during 14 days of bed rest in young and older men. | 20 |
| 15 | 14 | |
| 16 | 22 | |
| 17 | Fundamental motor patterns in children aged 4-7 years | 0 |
| 18 | 46 | |
| 19 | Curcumin, a curry spice ingredient, detects and diff erentiates between pathological tau inclusions in human histological brain sections | 1 |
| 20 | TAU PROTEIN AND HUMAN TAUOPATHIES: AN OVERWIEV* | 4 |
About Nina Mohorko
Nina Mohorko is a scholar working on Physiology, Biological Psychiatry and Cell Biology, having authored 29 papers that have together received 414 indexed citations. Recurring topics across this work include Diet and metabolism studies (13 papers), Nutritional Studies and Diet (7 papers) and Muscle metabolism and nutrition (6 papers). The work is most often cited by research in Physiology (256 citations), Molecular Medicine (27 citations) and Biological Psychiatry (13 citations). Nina Mohorko has collaborated with scholars based in Slovenia, Italy and Germany. Frequent co-authors include Ana Petelin, Zala Jenko Pražnikar, Saša Kenig, Maša Černelič-Bizjak, Mara Bresjanac, Gianni Biolo, Mihaela Jurdana, Grega Repovš, Gábor G. Kovács and Mara Popović. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nutrients.
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.