Maja Arnež
- Parasitology top 1%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Insect Science top 10%
- Co-authors
- Eva Ružić‐SabljićFranc StrleTatjana Avšič‐ŽupancDušica Pleterski-RiglerMateja LogarStanka Lotrič‐FurlanMilan ČižmanF. Strle
- Topics
- Vector-borne infectious diseases (22 papers)Viral Infections and Vectors (20 papers)Dermatological diseases and infestations (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of the New York Academy of SciencesJournal of Clinical Microbiology
- Partner nations
- SloveniaUnited StatesCzechia
In The Last Decade
Maja Arnež
31 papers receiving 537 citations
Peers
Comparison fields: 5 of 45
- Parasitology 511
- Infectious Diseases 410
- Public Health, Environmental and Occupational Health 210
- Ecology, Evolution, Behavior and Systematics 114
- Insect Science 45
Countries citing papers authored by Maja Arnež
This map shows the geographic impact of Maja Arnež'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 Maja Arnež with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Arnež more than expected).
Fields of papers citing papers by Maja Arnež
This network shows the impact of papers produced by Maja Arnež. 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 Maja Arnež. The network helps show where Maja Arnež may publish in the future.
Co-authorship network of co-authors of Maja Arnež
This figure shows the co-authorship network connecting the top 25 collaborators of Maja Arnež. A scholar is included among the top collaborators of Maja Arnež 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 Maja Arnež. Maja Arnež 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 | 9 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | The importance of the size of erythema migrans (EM) for diagnosis of Lyme borreliosis in Slovenian children | 1 |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 31 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 41 | |
| 17 | 23 | |
| 18 | Demographic features, clinical characteristics and laboratory findings in children with multiple erythema migrans in Slovenia. | 17 |
| 19 | 70 | |
| 20 | 1 |
About Maja Arnež
Maja Arnež is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 558 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (22 papers), Viral Infections and Vectors (20 papers) and Dermatological diseases and infestations (7 papers). The work is most often cited by research in Parasitology (511 citations), Infectious Diseases (410 citations) and Public Health, Environmental and Occupational Health (210 citations). Maja Arnež has collaborated with scholars based in Slovenia, United States and Czechia. Frequent co-authors include Eva Ružić‐Sabljić, Franc Strle, Tatjana Avšič‐Županc, Dušica Pleterski-Rigler, Mateja Logar, Stanka Lotrič‐Furlan, Milan Čižman, F. Strle, Miroslav Petrovec and Branko Zakotnik. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and Journal of Clinical Microbiology.
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.