Jacek T. Mika

1.2k citations
19 papers · 926 indexed · h-index 13
Topics
Bacterial Genetics and Biotechnology (7 papers)Lipid Membrane Structure and Behavior (7 papers)Antimicrobial Peptides and Activities (6 papers)

In The Last Decade

Jacek T. Mika

19 papers receiving 914 citations

Peers

Jacek T. Mika
Comparison fields: 5 of 89
  • Molecular Biology 624
  • Microbiology 212
  • Genetics 196
  • Organic Chemistry 120
  • Materials Chemistry 118
Replace Victor Krasnikov with:
Victor Krasnikov Netherlands
Siddharth Deshpande Netherlands
Prahathees J. Eswara United States
Jörg H. Kleinschmidt Germany
Kozhinjampara R. Mahendran Germany
Heedeok Hong United States
Neil G. Paterson United Kingdom
Dianbing Wang China
Kerney Jebrell Glover United States
Doeke R. Hekstra United States
Jacek T. Mika relative to Victor Krasnikov Netherlands Victor Krasnikov's profile →
Citations per field
00.5×4.1×
Victor Krasnikov · 1×
Citations per year

Countries citing papers authored by Jacek T. Mika

Since Specialization
Citations

This map shows the geographic impact of Jacek T. Mika'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 Jacek T. Mika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek T. Mika more than expected).

Fields of papers citing papers by Jacek T. Mika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacek T. Mika. 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 Jacek T. Mika. The network helps show where Jacek T. Mika may publish in the future.

Co-authorship network of co-authors of Jacek T. Mika

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek T. Mika. A scholar is included among the top collaborators of Jacek T. Mika 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 Jacek T. Mika. Jacek T. Mika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 70
2 79
3 1
4 5
5 31
6
Molecule diffusion in bacteria and consequences of osmotic stress
2
7 17
8 59
9 112
10 52
11 13
12 3
13 3
14 144
15 83
16 175
17 24
18
Dual-color fluorescence-burst analysis to probe macromole cule efflux through protein channels and peptide pokes
1
19 52

About Jacek T. Mika

Jacek T. Mika is a scholar working on Microbiology, Structural Biology and Biophysics, having authored 19 papers that have together received 926 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Lipid Membrane Structure and Behavior (7 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Microbiology (212 citations), Biophysics (54 citations) and Endocrinology (47 citations). Jacek T. Mika has collaborated with scholars based in Netherlands, Hungary and Belgium. Frequent co-authors include Bert Poolman, Geert van den Bogaart, Victor Krasnikov, Jan Michiels, Johan Hofkens, Liesbeth M. Veenhoff, Durba Sengupta, Gemma Moiset, ‪Siewert J. Marrink and Marina K. Kuimova. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Nature Nanotechnology.

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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