Janja Makarević
- Biomaterials top 2%
- Organic Chemistry top 5%
- Molecular Biology
- Materials Chemistry
- Cellular and Molecular Neuroscience
- Co-authors
- Milan JokićMladen ŽinićBiserka Kojić‐ProdićLeo FrkanecBerislav PerićVladislav TomišićZoran ŠtefanićMarina Kveder
- Topics
- Supramolecular Self-Assembly in Materials (14 papers)Lipid Membrane Structure and Behavior (7 papers)Crystallography and molecular interactions (5 papers)
In The Last Decade
Janja Makarević
26 papers receiving 737 citations
Peers
Comparison fields: 5 of 58
- Biomaterials 532
- Organic Chemistry 363
- Molecular Biology 326
- Materials Chemistry 276
- Cellular and Molecular Neuroscience 63
Countries citing papers authored by Janja Makarević
This map shows the geographic impact of Janja Makarević'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 Janja Makarević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janja Makarević more than expected).
Fields of papers citing papers by Janja Makarević
This network shows the impact of papers produced by Janja Makarević. 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 Janja Makarević. The network helps show where Janja Makarević may publish in the future.
Co-authorship network of co-authors of Janja Makarević
This figure shows the co-authorship network connecting the top 25 collaborators of Janja Makarević. A scholar is included among the top collaborators of Janja Makarević 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 Janja Makarević. Janja Makarević 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 | 4 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 25 | |
| 8 | 19 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | Chiral bis(tyrosinol) and bis(p-hydroxyphenylglycinol) oxalamide gelators. influence of aromatic groups and hydrogen bonding on gelation properties | 9 |
| 12 | 5 | |
| 13 | 118 | |
| 14 | 53 | |
| 15 | 149 | |
| 16 | 2 | |
| 17 | 183 | |
| 18 | REGIOSELECTIVE TRANSESTERIFICATIONS OF CYCLOHEXANONE DERIVATIVES CONTAINING BETA -KETO AND MALONIC ESTER MOIETIES | 1 |
| 19 | 7 | |
| 20 | 1 |
About Janja Makarević
Janja Makarević is a scholar working on Biomaterials, Physical and Theoretical Chemistry and Organic Chemistry, having authored 28 papers that have together received 745 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (14 papers), Lipid Membrane Structure and Behavior (7 papers) and Crystallography and molecular interactions (5 papers). The work is most often cited by research in Biomaterials (532 citations), Organic Chemistry (363 citations) and Molecular Medicine (33 citations). Janja Makarević has collaborated with scholars based in Croatia, Kosovo and Slovenia. Frequent co-authors include Milan Jokić, Mladen Žinić, Biserka Kojić‐Prodić, Leo Frkanec, Berislav Perić, Vladislav Tomišić, Zoran Štefanić, Marina Kveder, Marija Abramić and Boris Rakvin. Their work appears in journals such as Journal of the American Chemical Society, Physical Review B and Chemical Communications.
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.