Danijel Dojcinovic
About
In The Last Decade
Danijel Dojcinovic
14 papers receiving 789 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 586
- Molecular Biology 229
- Oncology 204
- Dermatology 191
- Physiology 90
Countries citing papers authored by Danijel Dojcinovic
This map shows the geographic impact of Danijel Dojcinovic'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 Danijel Dojcinovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danijel Dojcinovic more than expected).
Fields of papers citing papers by Danijel Dojcinovic
This network shows the impact of papers produced by Danijel Dojcinovic. 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 Danijel Dojcinovic. The network helps show where Danijel Dojcinovic may publish in the future.
Co-authorship network of co-authors of Danijel Dojcinovic
This figure shows the co-authorship network connecting the top 25 collaborators of Danijel Dojcinovic. A scholar is included among the top collaborators of Danijel Dojcinovic 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 Danijel Dojcinovic. Danijel Dojcinovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 0 | |
| 3 | 76 | |
| 4 | The antimicrobial peptide LL37 is a T-cell autoantigen in psoriasis breakdown → | 416 |
| 5 | 30 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 10 | |
| 10 | 32 | |
| 11 | 34 | |
| 12 | Soluble MHC-peptide complexes: tools for the monitoring of T cell responses in clinical trials and basic research. | 16 |
| 13 | 22 | |
| 14 | 20 | |
| 15 | 81 |
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.