Vera Mijač

490 citations
27 papers · 362 · h-index 10

Impact in

Papers in

Vera Mijač

26 papers receiving 348 citations

Peers

Vera Mijač
Comparison fields: 5 of 67
  • Endocrinology 67
  • Molecular Medicine 44
  • Microbiology 50
  • Applied Microbiology and Biotechnology 10
  • Biotechnology 36
Replace Belgode Narasimha Harish with:
Belgode Narasimha Harish India
Rajendra Prasad Janapatla Taiwan
B. Dhanashree India
Sanaz Dehbashi Iran
Anindita Das India
Alisha Akya Iran
Chih-Hsien Chuang Taiwan
M. Biendo France
Thomas So Taiwan
Valéria Cataneli Pereira Brazil
Vera Mijač relative to Belgode Narasimha Harish India Belgode Narasimha Harish's profile →
Citations per field
00.5×3.6×
Belgode Narasimha Harish · 1×
Citations per year

Countries citing papers authored by Vera Mijač

Since Specialization
Citations

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

Fields of papers citing papers by Vera Mijač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Mijač, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vera Mijač Line = papers co-authored together Vera Mijač links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003140
2 200644
3 201825
4 201820
5 202117
6 201413
7 200912
8 202312
9 202111
10 201511
11 20139
12 20147
13 20206
14 20106
15
Epidemiology of diseases caused by Streptococcus pyogenes in Serbia during a nine-year period (1991-1999).
20045
16 20184
17 20214
18 20143
19 20183
20
Influence of decreased penicillin susceptibility on growth rate of beta haemolytic streptococci.
20042

About Vera Mijač

Vera Mijač is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Microbiology and Molecular Medicine, having authored 27 papers that have together received 362 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (9 papers), Pneumonia and Respiratory Infections (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Neonatal and Maternal Infections (6 papers), Bacterial Infections and Vaccines (4 papers), Antibiotic Resistance in Bacteria (4 papers), Respiratory viral infections research (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Endocrinology (67 citations), Molecular Medicine (44 citations), Microbiology (50 citations), Applied Microbiology and Biotechnology (10 citations) and Biotechnology (36 citations). Vera Mijač has collaborated with scholars based in Serbia, Czechia and Bosnia and Herzegovina. Frequent co-authors include Ivana Ćirković, S. Stepanović, Milena Švabic-Vlahović, Nataša Opavski, Lazar Ranin, Ina Gajić, Miloš Marković, Dušan Kekić, Maja Stanojević and Vladimir Perović. Their work appears in journals such as Food Microbiology, PLoS ONE, Clinical Microbiology and Infection, Antibiotics and Epidemiology and Infection.

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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