Sinisa Vidović

835 citations
33 papers · 620 · h-index 14

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 13
    • Escherichia coli research studies 10
    • Vibrio bacteria research studies 4

Sinisa Vidović

33 papers receiving 605 citations

Peers

Sinisa Vidović
Comparison fields: 5 of 83
  • Endocrinology 157
  • Molecular Medicine 89
  • Biotechnology 123
  • Food Science 219
  • Applied Microbiology and Biotechnology 19
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Scott S. Crupper United States
Ivana Koláčková Czechia
Claudia Narváez‐Bravo Canada
Immacolata Anacarso Italy
Daniel Hurley Ireland
Abeni Beshiru Nigeria
Xianhua Yin Canada
Babak Pakbin Iran
Jiehong Fang China
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Citations per field
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Citations per year

Countries citing papers authored by Sinisa Vidović

Since Specialization
Citations

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

Fields of papers citing papers by Sinisa Vidović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sinisa Vidović, 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 Sinisa Vidović Line = papers co-authored together Sinisa Vidović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 200755
3 200850
4 200639
5 201532
6 201131
7 201131
8 202228
9 201428
10 201927
11 201919
12 201417
13 202016
14 201715
15 201713
16 201212
17 201312
18 201211
19 201711
20 201110

About Sinisa Vidović

Sinisa Vidović is a scholar working on Food Science, Endocrinology, Molecular Biology, Infectious Diseases and Biotechnology, having authored 33 papers that have together received 620 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (13 papers), Escherichia coli research studies (10 papers), Bacterial biofilms and quorum sensing (8 papers), Listeria monocytogenes in Food Safety (7 papers), Antibiotic Resistance in Bacteria (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Vibrio bacteria research studies (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (157 citations), Molecular Medicine (89 citations), Biotechnology (123 citations), Food Science (219 citations) and Applied Microbiology and Biotechnology (19 citations). Sinisa Vidović has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Darren R. Korber, H. C. Block, Jo-Anne R. Dillon, Ran An, Aaron Rendahl, Graham C. Fletcher, Gunaranjan Paturi, Juan E. Abrahante, John R. Lawrence and Seyed Asghar Havaei. Their work appears in journals such as Journal of Clinical Microbiology, Canadian Journal of Microbiology, International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy and Applied and Environmental Microbiology.

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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