Maja Rupnik

11.4k total citations · 2 hit papers
167 papers, 8.2k citations indexed

About

Maja Rupnik is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Maja Rupnik has authored 167 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Infectious Diseases, 48 papers in Molecular Biology and 38 papers in Epidemiology. Recurrent topics in Maja Rupnik's work include Clostridium difficile and Clostridium perfringens research (124 papers), Viral gastroenteritis research and epidemiology (64 papers) and Microscopic Colitis (36 papers). Maja Rupnik is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (124 papers), Viral gastroenteritis research and epidemiology (64 papers) and Microscopic Colitis (36 papers). Maja Rupnik collaborates with scholars based in Slovenia, Germany and United Kingdom. Maja Rupnik's co-authors include Dale N. Gerding, Mark H. Wilcox, Sandra Janežič, Stuart Johnson, M. Grabnar, John Brazier, Christoph von Eichel‐Streiber, Barbara Gerič Stare, Ed J. Kuijper and Valerija Zidarič and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Maja Rupnik

161 papers receiving 8.1k citations

Hit Papers

Clostridium difficile infection: new developments in epid... 2009 2026 2014 2020 2009 2010 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maja Rupnik Slovenia 46 7.1k 3.4k 1.8k 1.2k 683 167 8.2k
Dena Lyras Australia 43 5.0k 0.7× 1.7k 0.5× 2.0k 1.1× 957 0.8× 727 1.1× 147 7.0k
Michel Delmée Belgium 41 3.8k 0.5× 2.3k 0.7× 864 0.5× 621 0.5× 186 0.3× 139 5.2k
S. P. Borriello United Kingdom 38 3.0k 0.4× 1.4k 0.4× 1.5k 0.8× 509 0.4× 419 0.6× 118 5.8k
T D Wilkins United States 48 4.6k 0.6× 1.2k 0.4× 2.3k 1.3× 721 0.6× 1.3k 2.0× 116 7.7k
Anne Collignon France 40 3.0k 0.4× 1.4k 0.4× 1.2k 0.7× 570 0.5× 257 0.4× 119 4.1k
S. Tabaqchali United Kingdom 40 1.9k 0.3× 1.3k 0.4× 858 0.5× 1.5k 1.2× 570 0.8× 154 5.0k
Kazuhiro Tateda Japan 45 1.7k 0.2× 2.2k 0.7× 2.4k 1.3× 438 0.4× 1.6k 2.3× 322 7.6k
Michael R. Mulvey Canada 49 3.0k 0.4× 1.8k 0.5× 2.1k 1.2× 318 0.3× 187 0.3× 217 8.6k
Glen P. Carter Australia 31 2.5k 0.3× 826 0.2× 1.0k 0.6× 571 0.5× 264 0.4× 86 4.3k
Haru Kato Japan 35 2.2k 0.3× 1.6k 0.5× 1.1k 0.6× 324 0.3× 164 0.2× 88 4.5k

Countries citing papers authored by Maja Rupnik

Since Specialization
Citations

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

Fields of papers citing papers by Maja Rupnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Rupnik

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Rupnik. A scholar is included among the top collaborators of Maja Rupnik 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 Rupnik. Maja Rupnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Brezočnik, Lucija, et al.. (2024). Using Machine Learning and Natural Language Processing for Unveiling Similarities between Microbial Data. Mathematics. 12(17). 2717–2717. 2 indexed citations
4.
Janežič, Sandra, Urška Kuhar, Jernej Kovač, et al.. (2023). SARS-CoV-2 molecular epidemiology in Slovenia, January to September 2021. Eurosurveillance. 28(8). 3 indexed citations
5.
Lorbeg, Petra Mohar, et al.. (2023). Genomic insights into antibiotic resistance and mobilome of lactic acid bacteria and bifidobacteria. Life Science Alliance. 6(4). e202201637–e202201637. 15 indexed citations
6.
Williamson, Charles H. D., Nathan E. Stone, Chandler C. Roe, et al.. (2022). Identification of novel, cryptic Clostridioides species isolates from environmental samples collected from diverse geographical locations. Microbial Genomics. 8(2). 17 indexed citations
7.
Janežič, Sandra, Tine Tesovnik, Barbara Jenko Bizjan, et al.. (2022). Accuracy of Allplex SARS-CoV-2 Assay Amplification Curve Analysis for the detection of SARS-CoV-2 Variant Alpha. Future Microbiology. 17(14). 1125–1131. 3 indexed citations
8.
Sidorov, Igor A., Sam Nooij, Céline Harmanus, et al.. (2021). Haem is crucial for medium-dependent metronidazole resistance in clinical isolates of Clostridioides difficile. Journal of Antimicrobial Chemotherapy. 76(7). 1731–1740. 36 indexed citations
9.
Rupnik, Maja, et al.. (2019). Evaluation of Human Milk Microbiota by 16S rRNA Gene Next-Generation Sequencing (NGS) and Cultivation/MALDI-TOF Mass Spectrometry Identification. Frontiers in Microbiology. 10. 2612–2612. 29 indexed citations
10.
11.
Coura, Fernanda Morcatti, Maja Rupnik, Vicki Adams, et al.. (2017). The incidence of Clostridioides difficile and Clostridium perfringens netF -positive strains in diarrheic dogs. Anaerobe. 49. 58–62. 32 indexed citations
12.
Hussain, I., Probodh Borah, Rajeev Sharma, et al.. (2016). Molecular characteristics of Clostridium difficile isolates from human and animals in the North Eastern region of India. Molecular and Cellular Probes. 30(5). 306–311. 22 indexed citations
13.
Hussain, I., et al.. (2015). Isolation and characterization of Clostridium difficile from pet dogs in Assam, India. Anaerobe. 36. 9–13. 26 indexed citations
14.
Rupnik, Maja, et al.. (2013). Diversity of C. difficile PCR ribotypes isolated from hospitalised patients in Slovenia during two-winter-month period. SHILAP Revista de lepidopterología. 2 indexed citations
15.
16.
Pasquale, Vincenzo, Vincenza Romano, Maja Rupnik, et al.. (2011). Isolation and characterization of Clostridium difficile from shellfish and marine environments. Folia Microbiologica. 56(5). 431–437. 47 indexed citations
17.
Rupnik, Maja. (2010). Clostridium difficile Toxinotyping. Methods in molecular biology. 646. 67–76. 41 indexed citations
18.
Rupnik, Maja, et al.. (2009). DIVERSITY OF spa TYPES AMONG MRSA ISOLATES FROM MARIBOR UNIVERSITY HOSPITAL. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Stare, Barbara Gerič, Robert J. Carman, Maja Rupnik, et al.. (2006). Binary Toxin–Producing, Large Clostridial Toxin–NegativeClostridium difficileStrains Are Enterotoxic but Do Not Cause Disease in Hamsters. The Journal of Infectious Diseases. 193(8). 1143–1150. 157 indexed citations
20.
Eichel‐Streiber, Christoph von, et al.. (1999). A nonsense mutation abrogates production of a functional enterotoxin A inClostridium difficiletoxinotype VIII strains of serogroups F and X. FEMS Microbiology Letters. 178(1). 163–168. 33 indexed citations

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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