Maja Kosanović

43 total papers · 17.4k total citations
28 papers, 442 citations indexed

About

Maja Kosanović is a scholar working on Molecular Biology, Infectious Diseases and Spectroscopy. According to data from OpenAlex, Maja Kosanović has authored 28 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Spectroscopy. Recurrent topics in Maja Kosanović's work include Extracellular vesicles in disease (14 papers), Mass Spectrometry Techniques and Applications (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Maja Kosanović is often cited by papers focused on Extracellular vesicles in disease (14 papers), Mass Spectrometry Techniques and Applications (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Maja Kosanović collaborates with scholars based in Serbia, United States and Spain. Maja Kosanović's co-authors include Miroslava Janković, Bojana Milutinović, Nataša Ilić, Milica Božić, Alisa Gruden‐Movsesijan, Ljiljana Sofronić‐Milosavljević, Barbara Zavan, Saša Vasilev, Seppo Vainio and Augustas Pivoriūnas and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Maja Kosanović

27 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Maja Kosanović 346 111 88 45 43 28 442
Elettra Bianchi 247 0.7× 85 0.8× 83 0.9× 11 0.2× 42 1.0× 27 490
J L Hudson 160 0.5× 53 0.5× 138 1.6× 19 0.4× 27 0.6× 22 475
Linda Cashion 303 0.9× 55 0.5× 34 0.4× 31 0.7× 51 1.2× 18 469
Sergey S. Larin 198 0.6× 57 0.5× 107 1.2× 18 0.4× 25 0.6× 43 435
Gallya Gannot 193 0.6× 58 0.5× 75 0.9× 16 0.4× 32 0.7× 23 448
Kristina Y. Aguilera 202 0.6× 97 0.9× 73 0.8× 25 0.6× 46 1.1× 16 476
Erik Vernet 276 0.8× 39 0.4× 43 0.5× 39 0.9× 26 0.6× 17 403
Yumi Kwon 195 0.6× 36 0.3× 30 0.3× 31 0.7× 18 0.4× 27 392
Vladimı́r Leksa 247 0.7× 87 0.8× 113 1.3× 36 0.8× 25 0.6× 24 473
Marilyn A. Niemann 177 0.5× 79 0.7× 189 2.1× 12 0.3× 21 0.5× 20 475

Countries citing papers authored by Maja Kosanović

Since Specialization
Citations

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

Fields of papers citing papers by Maja Kosanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Kosanović

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Kosanović. A scholar is included among the top collaborators of Maja Kosanović 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 Kosanović. Maja Kosanović 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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