Uta Effmert

2.1k citations
23 papers · 1.6k · h-index 17

Impact in

Papers in

Uta Effmert

22 papers receiving 1.5k citations

Peers

Uta Effmert
Comparison fields: 5 of 96
  • Plant Science 813
  • Ecology, Evolution, Behavior and Systematics 266
  • Biotechnology 114
  • Food Science 205
  • Cell Biology 173
Replace Marco Kai with:
Marco Kai Germany
Leland J. Cseke United States
Simone Bossi Italy
Raoul Ranjeva France
Jelli Venkatesh South Korea
Mark G. Taylor United States
Faïçal Brini Tunisia
M. M. Yeoman United Kingdom
Pramod Tandon India
Louwrance P. Wright Germany
Uta Effmert relative to Marco Kai Germany Marco Kai's profile →
Citations per field
00.5×1.5×1.9×
Marco Kai · 1×
Citations per year

Countries citing papers authored by Uta Effmert

Since Specialization
Citations

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

Fields of papers citing papers by Uta Effmert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012364
2 2006318
3 2008112
4 2001108
5 2005101
6 201694
7 200579
8 200767
9 200462
10 199756
11 199537
12 200130
13 200830
14 200322
15 201820
16 201619
17
Flax-seed extracts with phytoestrogenic effects on a hormone receptor-positive tumour cell line.
200518
18 200616
19 200614
20 202113

About Uta Effmert

Uta Effmert is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Renewable Energy, Sustainability and the Environment and Biotechnology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (7 papers), Algal biology and biofuel production (6 papers), Plant and animal studies (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Plant Gene Expression Analysis (3 papers), Biocrusts and Microbial Ecology (3 papers), Plant Parasitism and Resistance (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in Plant Science (813 citations), Ecology, Evolution, Behavior and Systematics (266 citations), Biotechnology (114 citations), Food Science (205 citations) and Cell Biology (173 citations). Uta Effmert has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Birgit Piechulla, Marco Kai, Gabriele Berg, Sabine Mundt, Stefan Mikkat, Martin Hagemann, Norbert Erdmann, Jeannine R. Ross, Joseph P. Noel and Anna‐Maria Hartmann. Their work appears in journals such as PLANT PHYSIOLOGY, Current Microbiology, Archives of Microbiology, Journal of Plant Physiology and International Journal of Hygiene and Environmental Health.

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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