Juraj Švitel

3.3k citations
50 papers · 2.6k indexed · 1 hit paper · h-index 28
Topics
Microbial Metabolic Engineering and Bioproduction (12 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Glycosylation and Glycoproteins Research (9 papers)

In The Last Decade

Juraj Švitel

48 papers receiving 2.5k citations

Hit Papers

Optical biosensors20162026201920222016200400600

Peers

Juraj Švitel
Comparison fields: 5 of 117
  • Molecular Biology 1.6k
  • Biomedical Engineering 887
  • Electrical and Electronic Engineering 518
  • Radiology, Nuclear Medicine and Imaging 343
  • Bioengineering 191
Replace Walter Stöcklein with:
Walter Stöcklein Germany
Changill Ban South Korea
Hak‐Sung Kim South Korea
Kobra Omidfar Iran
Shimaa Eissa Saudi Arabia
C. Raman Suri India
Tapani Viitala Finland
María Isabel Pividori Spain
Shijia Ding China
Andreas Brecht Germany
Juraj Švitel relative to Walter Stöcklein Germany Walter Stöcklein's profile →
Citations per field
00.5×3.0×
Walter Stöcklein · 1×
Citations per year

Countries citing papers authored by Juraj Švitel

Since Specialization
Citations

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

Fields of papers citing papers by Juraj Švitel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Švitel

This figure shows the co-authorship network connecting the top 25 collaborators of Juraj Švitel. A scholar is included among the top collaborators of Juraj Švitel 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 Juraj Švitel. Juraj Švitel 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
#WorkIndexed citations
1 60
2 82
3 169
4 77
5 38
6 33
7 68
8 6
9 96
10 21
11 30
12 7
13 30
14 4
15
Ceramic membrane cross-flow microfiltration for beer recovery from tank bottoms
2
16 47
17 8
18
Microbial cell-based biosensor for sensing glucose, sucrose or lactose.
48
19 5
20 9

About Juraj Švitel

Juraj Švitel is a scholar working on Bioengineering, Biochemistry and Molecular Biology, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Bioengineering (191 citations), Electrochemistry (163 citations) and Molecular Biology (1.6k citations). Juraj Švitel has collaborated with scholars based in Slovakia, United States and Sweden. Frequent co-authors include Jaroslav Katrlı́k, Pavel Damborský, Peter Gemeiner, Jan Tkáč, Ernest Šturdı́k, Peter Schuck, Stanislav Miertuš, Bengt Danielsson, Marian Navrátil and Danica Mislovičová. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Biomaterials.

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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