Mateja Manček Keber

427 total citations
10 papers, 340 citations indexed

About

Mateja Manček Keber is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Mateja Manček Keber has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Microbiology and 3 papers in Immunology. Recurrent topics in Mateja Manček Keber's work include Antimicrobial Peptides and Activities (4 papers), Immune Response and Inflammation (3 papers) and Food Allergy and Anaphylaxis Research (2 papers). Mateja Manček Keber is often cited by papers focused on Antimicrobial Peptides and Activities (4 papers), Immune Response and Inflammation (3 papers) and Food Allergy and Anaphylaxis Research (2 papers). Mateja Manček Keber collaborates with scholars based in Slovenia. Mateja Manček Keber's co-authors include Roman Jerala, Helena Gradišar, Primož Pristovšek, Iva Hafner‐Bratkovič, Duško Lainšček, Rok Romih, Mojca Pavlin, Damijan Miklavčič, Maša Kandušer and Fabio Lapenta and has published in prestigious journals such as Scientific Reports, FEBS Letters and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Mateja Manček Keber

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateja Manček Keber Slovenia 7 163 146 43 38 33 10 340
Guofu Ding China 8 90 0.6× 173 1.2× 31 0.7× 14 0.4× 29 0.9× 10 355
Ying Qiu China 13 137 0.8× 108 0.7× 26 0.6× 23 0.6× 30 0.9× 23 364
Peter Stütz Austria 11 138 0.8× 187 1.3× 35 0.8× 12 0.3× 19 0.6× 17 376
Yilei Yang China 12 157 1.0× 56 0.4× 49 1.1× 18 0.5× 25 0.8× 35 423
C Birr United States 9 216 1.3× 206 1.4× 16 0.4× 24 0.6× 64 1.9× 14 505
Yahong Zheng China 10 196 1.2× 49 0.3× 57 1.3× 37 1.0× 11 0.3× 16 402
Kathleen Hirano United States 5 309 1.9× 136 0.9× 19 0.4× 8 0.2× 36 1.1× 5 507
Jean‐Marc Billod Spain 11 149 0.9× 149 1.0× 18 0.4× 8 0.2× 35 1.1× 12 310
Lihua Mo China 10 107 0.7× 67 0.5× 28 0.7× 9 0.2× 11 0.3× 24 304

Countries citing papers authored by Mateja Manček Keber

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Manček Keber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateja Manček Keber. 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 Mateja Manček Keber. The network helps show where Mateja Manček Keber may publish in the future.

Co-authorship network of co-authors of Mateja Manček Keber

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

All Works

10 of 10 papers shown
1.
Keber, Mateja Manček, et al.. (2022). Zunajcelični vezikli – majhni delci, ogromen potencial.
2.
Plaper, Tjaša, Jana Aupič, Fabio Lapenta, et al.. (2021). Coiled-coil heterodimers with increased stability for cellular regulation and sensing SARS-CoV-2 spike protein-mediated cell fusion. Scientific Reports. 11(1). 9136–9136. 25 indexed citations
3.
Lainšček, Duško, et al.. (2018). Delivery of an Artificial Transcription Regulator dCas9-VPR by Extracellular Vesicles for Therapeutic Gene Activation. ACS Synthetic Biology. 7(12). 2715–2725. 55 indexed citations
4.
Kandušer, Maša, et al.. (2014). Comparison of Flow Cytometry, Fluorescence Microscopy and Spectrofluorometry for Analysis of Gene Electrotransfer Efficiency. The Journal of Membrane Biology. 247(12). 1259–1267. 23 indexed citations
5.
Gradišar, Helena, et al.. (2008). Taxanes inhibit human TLR4 signaling by binding to MD‐2. FEBS Letters. 582(28). 3929–3934. 54 indexed citations
6.
Kovač, Jernej, Roman Jerala, Rok Tkavc, et al.. (2007). Engineered human cells: say no to sepsis. 1(1). 13–16. 2 indexed citations
7.
Gradišar, Helena, Mateja Manček Keber, Primož Pristovšek, & Roman Jerala. (2007). MD-2 as the target of curcumin in the inhibition of response to LPS. Journal of Leukocyte Biology. 82(4). 968–974. 133 indexed citations
8.
Keber, Mateja Manček, Helena Gradišar, & Roman Jerala. (2005). MD-2 and Der p 2 – a tale of two cousins or distant relatives?. Journal of Endotoxin Research. 11(3). 186–192. 29 indexed citations
9.
Keber, Mateja Manček, Helena Gradišar, & Roman Jerala. (2005). MD-2 and Der p 2 — a tale of two cousins or distant relatives?. Journal of Endotoxin Research. 11(3). 186–192. 1 indexed citations
10.
Zorko, Mateja Starbek, Andreja Majerle, David Šarlah, et al.. (2005). Combination of Antimicrobial and Endotoxin-Neutralizing Activities of Novel Oleoylamines. Antimicrobial Agents and Chemotherapy. 49(6). 2307–2313. 18 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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