Jadwiga Baj

539 citations
26 papers · 476 indexed · h-index 15
Topics
Genomics and Phylogenetic Studies (14 papers)Bacteriophages and microbial interactions (10 papers)Bacterial Genetics and Biotechnology (8 papers)
Partner nations
PolandCzechiaBelgium

In The Last Decade

Jadwiga Baj

25 papers receiving 465 citations

Peers

Jadwiga Baj
Comparison fields: 5 of 63
  • Molecular Biology 309
  • Ecology 213
  • Plant Science 128
  • Genetics 95
  • Pollution 61
Replace Michael Strätz with:
Michael Strätz Germany
Riho Teras Estonia
Jakub Czarnecki Poland
Inés Canosa Spain
C S Kristensen Denmark
E. Carr Australia
Eduardo A. Robleto United States
Johan Rollin France
Yurika Takahashi Japan
Magdalena Szuplewska Poland
Jadwiga Baj relative to Michael Strätz Germany Michael Strätz's profile →
Citations per field
00.5×2.7×
Michael Strätz · 1×
Citations per year

Countries citing papers authored by Jadwiga Baj

Since Specialization
Citations

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

Fields of papers citing papers by Jadwiga Baj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jadwiga Baj

This figure shows the co-authorship network connecting the top 25 collaborators of Jadwiga Baj. A scholar is included among the top collaborators of Jadwiga Baj 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 Jadwiga Baj. Jadwiga Baj 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 16
2 22
3 18
4 33
5 39
6 10
7 6
8 19
9 11
10 21
11 28
12 14
13 12
14
Taxonomy of the genus Paracoccus.
14
15
Construction of mobilizable cloning vectors derived from pBGS18 and their application for analysis of replicator region of a pTAV202 mini-derivative of Paracoccus versutus pTAV1 plasmid.
33
16
Genetic analysis of Paracoccus-Thiobacillus versutus
1
17 7
18
Analysis of Thiobacillus versutus pTAV1 plasmid functions
18
19 1
20
Naturally occurring chromosomal gene transfer in Thiobacillus versutus.
1

About Jadwiga Baj

Jadwiga Baj is a scholar working on Biotechnology, Ecology and Endocrinology, having authored 26 papers that have together received 476 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Bacteriophages and microbial interactions (10 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Molecular Medicine (50 citations), Ecology (213 citations) and Endocrinology (32 citations). Jadwiga Baj has collaborated with scholars based in Poland, Czechia and Belgium. Frequent co-authors include Dariusz Bartosik, Łukasz Dziewit, Łukasz Drewniak, Magdalena Jazurek, Agnieszka B. Bialkowska, Magdalena Szuplewska, Aneta Agnieszka Bartosik, Jakub Czarnecki, Renata Matlakowska and Adam Pyzik. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

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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