Ina Gajić

55 total papers · 1.1k total citations
42 papers, 617 citations indexed

About

Ina Gajić is a scholar working on Epidemiology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Ina Gajić has authored 42 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Molecular Medicine and 11 papers in Infectious Diseases. Recurrent topics in Ina Gajić's work include Antibiotic Resistance in Bacteria (15 papers), Pneumonia and Respiratory Infections (15 papers) and Antimicrobial Resistance in Staphylococcus (10 papers). Ina Gajić is often cited by papers focused on Antibiotic Resistance in Bacteria (15 papers), Pneumonia and Respiratory Infections (15 papers) and Antimicrobial Resistance in Staphylococcus (10 papers). Ina Gajić collaborates with scholars based in Serbia, Bosnia and Herzegovina and Czechia. Ina Gajić's co-authors include Nataša Opavski, Dušan Kekić, Lazar Ranin, Miloš Jovićević, Jovana Kabić, Anika Trudić, Dragana Mitić-Ćulafić, Marina Milenković, Vera Mijač and Ivica Dimkić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ina Gajić

40 papers receiving 607 citations

Hit Papers

Antimicrobial Susceptibil... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Ina Gajić 234 151 132 107 102 42 617
Nataša Opavski 210 0.9× 166 1.1× 156 1.2× 101 0.9× 103 1.0× 42 667
Dušan Kekić 214 0.9× 176 1.2× 100 0.8× 96 0.9× 99 1.0× 37 665
Keite da Silva Nogueira 250 1.1× 98 0.6× 119 0.9× 75 0.7× 52 0.5× 55 579
Dwij Raj Bhatta 223 1.0× 133 0.9× 89 0.7× 104 1.0× 82 0.8× 36 603
Arjana Tambić Andrašević 237 1.0× 142 0.9× 206 1.6× 118 1.1× 109 1.1× 66 692
Mihret Tilahun 258 1.1× 131 0.9× 109 0.8× 67 0.6× 45 0.4× 57 539
Reza Beigverdi 216 0.9× 271 1.8× 119 0.9× 82 0.8× 120 1.2× 41 664
Qiulian Deng 243 1.0× 108 0.7× 172 1.3× 45 0.4× 68 0.7× 37 536
Mohammad Taghi Akhi 271 1.2× 154 1.0× 91 0.7× 102 1.0× 109 1.1× 46 620
Nafeesa Yasmeen 208 0.9× 136 0.9× 117 0.9× 78 0.7× 45 0.4× 19 618

Countries citing papers authored by Ina Gajić

Since Specialization
Citations

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

Fields of papers citing papers by Ina Gajić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Gajić

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