Dijana Vitko

404 total citations
8 papers, 171 citations indexed

About

Dijana Vitko is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Dijana Vitko has authored 8 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Spectroscopy. Recurrent topics in Dijana Vitko's work include Advanced Proteomics Techniques and Applications (3 papers), Urinary Tract Infections Management (2 papers) and Ubiquitin and proteasome pathways (2 papers). Dijana Vitko is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Urinary Tract Infections Management (2 papers) and Ubiquitin and proteasome pathways (2 papers). Dijana Vitko collaborates with scholars based in Austria, United States and Switzerland. Dijana Vitko's co-authors include Keiryn L. Bennett, Christina Pfeiffer, Roland Tschismarov, Patrick Matthias, Nora Dinhopl, Wen‐An Wang, Wilfried Ellmeier, Jacques Colinge, Cesare Indiveri and Shinya Sakaguchi and has published in prestigious journals such as Nature Immunology, European Urology and EMBO Reports.

In The Last Decade

Dijana Vitko

8 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dijana Vitko Austria	6	124	36	32	18	17	8	171
Navratan Bagwan Spain	7	145 1.2×	17 0.5×	33 1.0×	10 0.6×	9 0.5×	10	232
Dongkeun Jang United States	6	83 0.7×	24 0.7×	7 0.2×	15 0.8×	6 0.4×	9	177
Shaohua Lu China	9	253 2.0×	18 0.5×	10 0.3×	11 0.6×	10 0.6×	17	328
Max Karlsson Sweden	6	82 0.7×	18 0.5×	19 0.6×	10 0.6×	22 1.3×	8	138
Mehrad Mahmoudian Finland	7	54 0.4×	16 0.4×	22 0.7×	10 0.6×	13 0.8×	11	123
Tobias Vinke Germany	5	88 0.7×	9 0.3×	33 1.0×	4 0.2×	8 0.5×	6	168
Tongqing Gong China	5	105 0.8×	15 0.4×	13 0.4×	6 0.3×	13 0.8×	6	149
Veronica Shamovsky United States	3	77 0.6×	33 0.9×	7 0.2×	16 0.9×	10 0.6×	4	145
Kevin Yang United States	7	114 0.9×	8 0.2×	52 1.6×	6 0.3×	21 1.2×	10	200
Yeheng Liu China	4	62 0.5×	16 0.4×	9 0.3×	26 1.4×	19 1.1×	4	115

Countries citing papers authored by Dijana Vitko

Since Specialization

Citations

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

Fields of papers citing papers by Dijana Vitko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dijana Vitko

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

All Works

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8 of 8 papers shown

1.

Vitko, Dijana, Joon‐Yong Lee, Chinmay Belthangady, et al.. (2024). timsTOF HT Improves Protein Identification and Quantitative Reproducibility for Deep Unbiased Plasma Protein Biomarker Discovery. Journal of Proteome Research. 23(3). 929–938. 21 indexed citations

2.

Austin, Shane, Mariafrancesca Scalise, Wen‐An Wang, et al.. (2022). TMBIM5 is the Ca ²⁺ /H ⁺ antiporter of mammalian mitochondria. EMBO Reports. 23(12). e54978–e54978. 43 indexed citations

3.

Vitko, Dijana, Ali Hashemi Gheinani, Kohei Hasegawa, et al.. (2021). Urinary Tract Infections in Children with Vesicoureteral Reflux Are Accompanied by Alterations in Urinary Microbiota and Metabolome Profiles. European Urology. 81(2). 151–154. 17 indexed citations

4.

Vitko, Dijana, Patricia S. Cho, Tanya Logvinenko, et al.. (2020). Characterizing Patients with Recurrent Urinary Tract Infections in Vesicoureteral Reflux: A Pilot Study of the Urinary Proteome. Molecular & Cellular Proteomics. 19(3). 456–466. 7 indexed citations

5.

Lee, Seung‐Eun, André C. Müller, Dijana Vitko, et al.. (2018). Proteogenomic Analysis to Identify Missing Proteins from Haploid Cell Lines. PROTEOMICS. 18(8). e1700386–e1700386. 12 indexed citations

6.

Vitko, Dijana, et al.. (2016). FASIL-MS: An Integrated Proteomic and Bioinformatic Workflow To Universally Quantitate In Vivo-Acetylated Positional Isomers. Journal of Proteome Research. 15(8). 2579–2594. 5 indexed citations

7.

Vitko, Dijana & Fernando J. Sialana. (2016). Proteomic and Clinical Analysis of a Fine-Needle Aspirate Biopsy from a Single Cold Thyroid Nodule: A Case Study. Journal of Clinical Case Reports. 6(4). 3 indexed citations

8.

Boucheron, Nicole, Roland Tschismarov, Lisa Göschl, et al.. (2014). CD4+ T cell lineage integrity is controlled by the histone deacetylases HDAC1 and HDAC2. Nature Immunology. 15(5). 439–448. 63 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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