J. Stárka

476 citations
38 papers · 410 · h-index 10

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Microbial Metabolic Engineering and Bioproduction 4
    • Bacterial Genetics and Biotechnology 14

J. Stárka

35 papers receiving 347 citations

Peers

J. Stárka
Comparison fields: 5 of 71
  • Molecular Medicine 40
  • Endocrinology 33
  • Genetics 173
  • Molecular Biology 276
  • Ecology 77
Replace Kazuyuki Tao with:
Kazuyuki Tao Japan
J. Náprstek Czechia
Nicholas R. Steffen United States
Marta Fontes Spain
J E Fein Canada
Josef Primosigh Germany
Donald R. Stallions United States
Ingo G. Janausch Germany
Larissa Tetsch Germany
Matthew G. Hicks United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by J. Stárka

Since Specialization
Citations

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

Fields of papers citing papers by J. Stárka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside J. Stárka, 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 J. Stárka Line = papers co-authored together J. Stárka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198656
2 197353
3 197053
4 196734
5 197426
6 197726
7 198520
8 197917
9 198711
10 195910
11 19629
12 19818
13 19818
14 19848
15 19846
16 19856
17
Morphological mutants of Escherichia coli: nature of the permeability barrier in mon and envC cells.
19786
18
Phenotypic expression of an envC-division mutant of Escherichia coli K12.
19746
19 19645
20 19855

About J. Stárka

J. Stárka is a scholar working on Molecular Biology, Genetics, Endocrinology, Ecology and Plant Science, having authored 38 papers that have together received 410 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Lipid Membrane Structure and Behavior (8 papers), Escherichia coli research studies (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Advanced Database Systems and Queries (3 papers), Chemical Reactions and Isotopes (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (40 citations), Endocrinology (33 citations), Genetics (173 citations), Molecular Biology (276 citations) and Ecology (77 citations). J. Stárka has collaborated with scholars based in Czechia, France and Croatia. Frequent co-authors include Gérard Michel, Annie Rodolakis, Thomas Perli, Francine Casse, Doris Karibian, J Koza, Moustapha Cissé, Gérard Pellon, М. Блумауерова and Peedikayil E. Thomas. Their work appears in journals such as Journal of Bacteriology, FEBS Letters, Microbiology, The Computer Journal and Nature.

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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