Filip Šenigl

795 total citations
25 papers, 568 citations indexed

About

Filip Šenigl is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Filip Šenigl has authored 25 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Genetics. Recurrent topics in Filip Šenigl's work include Herpesvirus Infections and Treatments (8 papers), Virus-based gene therapy research (7 papers) and Animal Virus Infections Studies (5 papers). Filip Šenigl is often cited by papers focused on Herpesvirus Infections and Treatments (8 papers), Virus-based gene therapy research (7 papers) and Animal Virus Infections Studies (5 papers). Filip Šenigl collaborates with scholars based in Czechia, United States and Russia. Filip Šenigl's co-authors include Jiřı́ Hejnar, Jiřı́ Plachý, Markéta Reinišová, Josef Geryk, Dana Kučerová, Libor Grubhoffer, Jan Svoboda, Daniel Elleder, Kateřina Trejbalová and Mark J. Federspiel and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Filip Šenigl

25 papers receiving 552 citations

Peers

Filip Šenigl
Comparison fields: 5 of 66
  • Molecular Biology 318
  • Genetics 159
  • Epidemiology 155
  • Immunology 147
  • Animal Science and Zoology 75
Replace I-Hsuan Wang with:
I-Hsuan Wang United States
Caroline Denesvre France
Brigitte Sigrist Switzerland
Changhong Zhou United States
Renée L. Finnen Canada
Adam W. Whisnant Germany
Ketha V. K. Mohan United States
Ute Prank Germany
Yadvinder S. Ahi United States
Dagmar Knebel-Mörsdorf Germany
I-Hsuan Wang United States View profile →
Citations per field, relative to Filip Šenigl
Filip Šenigl · 1×
Citations per year, relative to Filip Šenigl
Filip Šenigl · 1×

Countries citing papers authored by Filip Šenigl

Since Specialization
Citations

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

Fields of papers citing papers by Filip Šenigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Šenigl

This figure shows the co-authorship network connecting the top 25 collaborators of Filip Šenigl. A scholar is included among the top collaborators of Filip Šenigl 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 Filip Šenigl. Filip Šenigl 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
# Work Indexed citations
1 1
2 1
3 9
4 90
5 10
6 28
7 11
8 7
9 17
10 18
11 8
12 33
13 18
14 13
15 30
16 28
17 31
18 7
19 67
20 13

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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