Niilo Kaldalu

4.1k citations
25 papers · 3.1k indexed · 2 hit papers · h-index 18

Niilo Kaldalu

24 papers receiving 3.0k citations

Hit Papers

Specialized Persister Cells and the Mechanism of Multidru...6722003202620102018250500750

Peers

Niilo Kaldalu
Comparison fields: 5 of 113
  • Molecular Medicine 981
  • Endocrinology 712
  • Genetics 1.6k
  • Microbiology 220
  • Molecular Biology 1.7k
Replace Maarten Fauvart with:
Maarten Fauvart Belgium
Iris Keren United States
Amy L. Spoering United States
Larry A. Gallagher United States
Natalie Verstraeten Belgium
Marin Vulić United States
David A. D’Argenio United States
Sophie Hélaine United Kingdom
Ellen L. Zechner Austria
Carlos Balsalobre Spain
Niilo Kaldalu relative to Maarten Fauvart Belgium Maarten Fauvart's profile →
Citations per field
00.5×1.5×
Maarten Fauvart · 1×
Citations per year

Countries citing papers authored by Niilo Kaldalu

Since Specialization
Citations

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

Fields of papers citing papers by Niilo Kaldalu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Niilo Kaldalu, 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 Niilo Kaldalu Line = papers co-authored together Niilo Kaldalu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20243
4 20240
5 202064
6 202018
7 201822
8 2018166
9 201678
10 20169
11 201511
12 201357
13 2011142
14 2008139
15 2006467
16
Specialized Persister Cells and the Mechanism of Multidrug Tolerance in Escherichia colibreakdown →
2004672
17 20041
18
Persister cells and tolerance to antimicrobialsbreakdown →
2003825
19 200017
20 199623

About Niilo Kaldalu

Niilo Kaldalu is a scholar working on Molecular Medicine, Genetics, Endocrinology, Ecology and Development, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Antibiotic Resistance in Bacteria (9 papers), Bacteriophages and microbial interactions (8 papers), Bacterial biofilms and quorum sensing (4 papers), RNA and protein synthesis mechanisms (4 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (3 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Molecular Medicine (981 citations), Endocrinology (712 citations), Genetics (1.6k citations), Microbiology (220 citations) and Molecular Biology (1.7k citations). Niilo Kaldalu has collaborated with scholars based in Estonia, United States and Sweden. Frequent co-authors include Iris Keren, Amy L. Spoering, Kim Lewis, Tanel Tenson, Kim Lewis, Arvi Jõers, Zhigang Zhang, Hannes Luidalepp, Vasili Hauryliuk and Rui Mei. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Scientific Reports, Antimicrobial Agents and Chemotherapy and BMC Microbiology.

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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