Majda Golob

62 total papers · 520 total citations
35 papers, 385 citations indexed

About

Majda Golob is a scholar working on Food Science, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Majda Golob has authored 35 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 11 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Majda Golob's work include Antimicrobial Resistance in Staphylococcus (9 papers), Probiotics and Fermented Foods (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Majda Golob is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (9 papers), Probiotics and Fermented Foods (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Majda Golob collaborates with scholars based in Slovenia, Serbia and France. Majda Golob's co-authors include Irena Zdovc, Darja Kušar, Bojan Papić, Mateja Pate, Jana Avberšek, M. Ocepek, Bojana Bogovič Matijašić, Petra Mohar Lorbeg, Lene K. Vestby and Tina Pirš and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and BioMed Research International.

In The Last Decade

Majda Golob

32 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Majda Golob 144 139 121 65 54 35 385
Michał Michalik 163 1.1× 105 0.8× 143 1.2× 25 0.4× 66 1.2× 32 418
Bojan Papić 96 0.7× 148 1.1× 121 1.0× 108 1.7× 44 0.8× 33 353
Saleha Abdul Aziz 85 0.6× 149 1.1× 77 0.6× 40 0.6× 21 0.4× 33 445
Mohamed Enany 170 1.2× 107 0.8× 150 1.2× 44 0.7× 58 1.1× 39 413
Margrete Solheim 235 1.6× 111 0.8× 156 1.3× 23 0.4× 48 0.9× 15 429
Rehab Elhelw 105 0.7× 58 0.4× 159 1.3× 31 0.5× 35 0.6× 27 426
Abolfazl Davoodabadi 190 1.3× 244 1.8× 77 0.6× 37 0.6× 18 0.3× 28 378
Simona Gazzola 260 1.8× 226 1.6× 134 1.1× 97 1.5× 24 0.4× 16 436
Katarzyna Wolska 204 1.4× 99 0.7× 64 0.5× 41 0.6× 18 0.3× 44 439
Yuting Wang 89 0.6× 51 0.4× 111 0.9× 54 0.8× 63 1.2× 41 412

Countries citing papers authored by Majda Golob

Since Specialization
Citations

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

Fields of papers citing papers by Majda Golob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majda Golob

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