Silvia Šurinová

2.3k citations
24 papers · 1.6k indexed · h-index 16
    • Advanced Proteomics Techniques and Applications 9
    • Mass Spectrometry Techniques and Applications 6
    • NF-κB Signaling Pathways 3
  • Immunology top 5%
    • interferon and immune responses 2
    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 3
    • Glycosylation and Glycoproteins Research 2
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 3

Silvia Šurinová

23 papers receiving 1.5k citations

Peers

Silvia Šurinová
Comparison fields: 5 of 104
  • Spectroscopy 419
  • Cancer Research 326
  • Immunology 446
  • Molecular Biology 1.1k
  • Oncology 274
Replace Kebing Yu with:
Kebing Yu United States
Lukas M. Orre Sweden
Ralph Schiess Switzerland
Rosa Peracaula Spain
Thilo Bracht Germany
Jintang He United States
Katrine T. Schjoldager Denmark
Mengjun Wang United States
Mai Sun United States
Troels Zakarias Kristiansen United States
Silvia Šurinová relative to Kebing Yu United States Kebing Yu's profile →
Citations per field
00.5×2.6×
Kebing Yu · 1×
Citations per year

Countries citing papers authored by Silvia Šurinová

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Šurinová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20243
4 20212
5 202126
6 202024
7 201938
8 201928
9 2018205
10 201833
11 201713
12 2017180
13 2016106
14 201569
15 201539
16 2015226
17 201339
18 201352
19 2010260
20 200924

About Silvia Šurinová

Silvia Šurinová is a scholar working on Spectroscopy, Cancer Research and Molecular Biology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers), Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), RNA Research and Splicing (3 papers), NF-κB Signaling Pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Spectroscopy (419 citations), Cancer Research (326 citations) and Immunology (446 citations). Silvia Šurinová has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Ruedi Aebersold, Ruth Hüttenhain, Peter Dráber, Henning Walczak, Ralph Schiess, Ferdinando Cerciello, Bernd Wollscheid, Sebastian Kupka, Diego de Miguel and Élodie Lafont.

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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