Mladen Krajačić
- Plant Science top 10%
- Endocrinology top 5%
- Molecular Biology
- Insect Science top 10%
- Ecology
- Co-authors
- Dijana ŠkorićGordana RusakDaniel RiglingNada BezićIon Gutiérrez‐AguirreMaja RavnikarGustavo NolascoMartina Šeruga Musić
- Topics
- Plant Virus Research Studies (27 papers)Plant and Fungal Interactions Research (16 papers)Phytoplasmas and Hemiptera pathogens (9 papers)
In The Last Decade
Mladen Krajačić
34 papers receiving 337 citations
Peers
Comparison fields: 5 of 51
- Plant Science 271
- Endocrinology 115
- Molecular Biology 92
- Insect Science 59
- Ecology 34
Countries citing papers authored by Mladen Krajačić
This map shows the geographic impact of Mladen Krajačić'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 Mladen Krajačić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mladen Krajačić more than expected).
Fields of papers citing papers by Mladen Krajačić
This network shows the impact of papers produced by Mladen Krajačić. 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 Mladen Krajačić. The network helps show where Mladen Krajačić may publish in the future.
Co-authorship network of co-authors of Mladen Krajačić
This figure shows the co-authorship network connecting the top 25 collaborators of Mladen Krajačić. A scholar is included among the top collaborators of Mladen Krajačić 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 Mladen Krajačić. Mladen Krajačić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | Genetic variability of Croatian Citrus tristeza virus isolates | 1 |
| 6 | The production of Citrus tristeza virus-free Zorica Rana, a Croatian selection of Satsuma mandarin. | 2 |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | Evaluation of SSCP analysis as a tool for detection of phytoplasma molecular variability | 1 |
| 11 | 24 | |
| 12 | Beginning of Citrus sanitation in Croatia | 1 |
| 13 | 21 | |
| 14 | 15 | |
| 15 | Cucumovirus with a satellite-like RNA isolated from Robinia pseudoacacia L | 1 |
| 16 | 44 | |
| 17 | Plant viruses in soil and water of forest ecosystems in Croatia. | 6 |
| 18 | Glicerol uspješno umanjuje agregiranje čestica ilarvirusa crtičavosti duhana pri njihovu fiksiranju formaldehidom | 0 |
| 19 | 1 | |
| 20 | Occurence of Carnation Necrotic Fleck Virus in Yugoslavia | 1 |
About Mladen Krajačić
Mladen Krajačić is a scholar working on Horticulture, Endocrinology and Plant Science, having authored 39 papers that have together received 368 indexed citations. Recurring topics across this work include Plant Virus Research Studies (27 papers), Plant and Fungal Interactions Research (16 papers) and Phytoplasmas and Hemiptera pathogens (9 papers). The work is most often cited by research in Horticulture (30 citations), Endocrinology (115 citations) and Plant Science (271 citations). Mladen Krajačić has collaborated with scholars based in Croatia, Italy and Slovenia. Frequent co-authors include Dijana Škorić, Gordana Rusak, Daniel Rigling, Nada Bezić, Ion Gutiérrez‐Aguirre, Maja Ravnikar, Gustavo Nolasco, Martina Šeruga Musić, Ana Šarić and Aleš Štrancar. Their work appears in journals such as Journal of Chromatography A, Electrophoresis and Journal of Microbiological Methods.
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.