Ana Kramar

54 total papers · 994 total citations
39 papers, 743 citations indexed

About

Ana Kramar is a scholar working on Biomaterials, Surfaces, Coatings and Films and Biomedical Engineering. According to data from OpenAlex, Ana Kramar has authored 39 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomaterials, 9 papers in Surfaces, Coatings and Films and 9 papers in Biomedical Engineering. Recurrent topics in Ana Kramar's work include Electrospun Nanofibers in Biomedical Applications (20 papers), Advanced Cellulose Research Studies (16 papers) and Surface Modification and Superhydrophobicity (9 papers). Ana Kramar is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (20 papers), Advanced Cellulose Research Studies (16 papers) and Surface Modification and Superhydrophobicity (9 papers). Ana Kramar collaborates with scholars based in Serbia, Spain and Slovenia. Ana Kramar's co-authors include Mirjana Kostić, Javier González‐Benito, Bratislav M. Obradović, M. M. Kuraica, Franc Vrečer, Katarina Mihajlovski, Biljana Pejić, Andrijana Žekić, Tatjana Nikolić and Gustavo González‐Gaitano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbohydrate Polymers and International Journal of Pharmaceutics.

In The Last Decade

Ana Kramar

37 papers receiving 722 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ana Kramar 352 170 162 108 77 39 743
Chusheng Qi 392 1.1× 259 1.5× 225 1.4× 167 1.5× 20 0.3× 44 806
Nahid Hemmatinejad 256 0.7× 201 1.2× 91 0.6× 91 0.8× 69 0.9× 24 727
José Alexandre Borges Valle 161 0.5× 144 0.8× 70 0.4× 146 1.4× 36 0.5× 47 786
Jennifer Noro 231 0.7× 154 0.9× 62 0.4× 48 0.4× 63 0.8× 61 836
Tommi Virtanen 382 1.1× 357 2.1× 64 0.4× 54 0.5× 55 0.7× 29 780
Zhen Shi 245 0.7× 157 0.9× 293 1.8× 219 2.0× 16 0.2× 56 837
Guneet Kumar 311 0.9× 127 0.7× 79 0.5× 30 0.3× 35 0.5× 17 806
Madalena Martins 231 0.7× 106 0.6× 42 0.3× 122 1.1× 43 0.6× 30 657
Xuhai Zhu 346 1.0× 371 2.2× 124 0.8× 26 0.2× 33 0.4× 34 877
Saima Rehman 398 1.1× 205 1.2× 201 1.2× 14 0.1× 46 0.6× 21 821

Countries citing papers authored by Ana Kramar

Since Specialization
Citations

This map shows the geographic impact of Ana Kramar'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 Ana Kramar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Kramar more than expected).

Fields of papers citing papers by Ana Kramar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Kramar. 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 Ana Kramar. The network helps show where Ana Kramar may publish in the future.

Co-authorship network of co-authors of Ana Kramar

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Kramar. A scholar is included among the top collaborators of Ana Kramar 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 Ana Kramar. Ana Kramar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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