J Závada

4.6k total citations · 1 hit paper
68 papers, 3.8k citations indexed

About

J Závada is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, J Závada has authored 68 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 22 papers in Molecular Biology and 19 papers in Epidemiology. Recurrent topics in J Závada's work include Virus-based gene therapy research (23 papers), Virology and Viral Diseases (15 papers) and Animal Virus Infections Studies (14 papers). J Závada is often cited by papers focused on Virus-based gene therapy research (23 papers), Virology and Viral Diseases (15 papers) and Animal Virus Infections Studies (14 papers). J Závada collaborates with scholars based in Slovakia, Czechia and United States. J Závada's co-authors include Silvia Pastoreková, Zuzana Závadová, Eric J. Stanbridge, Shu‐Yuan Liao, Jaromı́r Pastorek, Vladimı́r Zelnı́k, Oscar Aurelio, Seppo Parkkila, Jaromı́r Pastorek and Michael Košťál and has published in prestigious journals such as Nature, Science and Journal of Clinical Oncology.

In The Last Decade

J Závada

64 papers receiving 3.6k citations

Hit Papers

Expression of Hypoxia-Inducible Cell-Surface Transmembran... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers

J Závada
Comparison fields: 5 of 109
  • Molecular Biology 2.4k
  • Cancer Research 900
  • Pulmonary and Respiratory Medicine 598
  • Immunology 512
  • Epidemiology 481
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Citations per field, relative to J Závada
J Závada · 1×
Citations per year, relative to J Závada
J Závada · 1×

Countries citing papers authored by J Závada

Since Specialization
Citations

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

Fields of papers citing papers by J Závada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Závada

This figure shows the co-authorship network connecting the top 25 collaborators of J Závada. A scholar is included among the top collaborators of J Závada 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 J Závada. J Závada 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
1 128
2 45
3 145
4 27
5 128
6 81
7 76
8 101
9
Expression of Hypoxia-Inducible Cell-Surface Transmembrane Carbonic Anhydrases in Human Cancer breakdown →
543
10 19
11 312
12 163
13 237
14 45
15 41
16 1
17
Relative importance of different Bovine Leukemia Virus envelope glycoprotein (gp51) antigenic sites in the host-virus interactions-A study with monoclonal antibodies.
2
18
Cross-neutralization between vesicular stomatitis virus type Indiana and Chandipura virus.
7
19
Pseudotype particles of vesicular stomatitis virus with surface antigens of bovine leukaemia virus--VSV (BLV) -- as a sensitive probe for detecting antibodies in the sera of spontaneously infected cattle.
15
20 1

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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