Erna Aescht

780 citations
12 papers · 409 · h-index 8

Impact in

Papers in

    • Animal Ecology and Behavior Studies 2
    • Microbial Community Ecology and Physiology 2
    • Species Distribution and Climate Change 4

Erna Aescht

8 papers receiving 396 citations

Peers

Erna Aescht
Comparison fields: 5 of 114
  • Equine 7
  • Ecological Modeling 18
  • Ecology 98
  • Ecology, Evolution, Behavior and Systematics 52
  • Paleontology 18
Replace Hechuan Yang with:
Hechuan Yang China
Nigel J. Adams New Zealand
Giovanni Scillitani Italy
Vicky Fan New Zealand
William L. Bretz United States
John K. Ling Australia
Henrik Lauridsen Denmark
Gavin Baker Australia
О. Ф. Чернова Russia
Erna Aescht relative to Hechuan Yang China Hechuan Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erna Aescht

Since Specialization
Citations

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

Fields of papers citing papers by Erna Aescht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010278
2 201329
3 199222
4 199221
5 199320
6
Divisional morphogenesis in Blepharisma americanum, B.undulans, and B.hyalinum [Ciliophora: Heterotrichida]
199815
7 199114
8 20199
9 20221
10 20220
11 20220
12 20210

About Erna Aescht

Erna Aescht is a scholar working on Ecology, Ecological Modeling, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 12 papers that have together received 409 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Animal Ecology and Behavior Studies (2 papers), Protist diversity and phylogeny (2 papers), Invertebrate Taxonomy and Ecology (2 papers), Microbial Community Ecology and Physiology (2 papers), Polymer-Based Agricultural Enhancements (1 paper), Spider Taxonomy and Behavior Studies (1 paper) and Botanical Studies and Applications (1 paper). The work is most often cited by research in Equine (7 citations), Ecological Modeling (18 citations), Ecology (98 citations), Ecology, Evolution, Behavior and Systematics (52 citations) and Paleontology (18 citations). Erna Aescht has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Wilhelm Foissner, Maria Mulisch, Rainer Wegerhoff, Ulrich Welsch, Josef Makovitzky, Christoph Hamers, Guido Jach, Manfred Kässens, Frank van den Boom and Christine Desel. Their work appears in journals such as Biology and Fertility of Soils, Pedobiologia, Zootaxa, Acta Protozoologica and European Journal of Protistology.

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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