Eva Apweiler

636 citations
6 papers · 424 · h-index 6

Impact in

    • Fungal and yeast genetics research
    • Bioinformatics and Genomic Networks
    • Genomics and Chromatin Dynamics
    • Gene Regulatory Network Analysis
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • Fungal and yeast genetics research 4
    • Bioinformatics and Genomic Networks 3
    • Gene Regulatory Network Analysis 1
    • RNA Research and Splicing 1
    • Genomics and Chromatin Dynamics 1
    • Exercise and Physiological Responses 1

Eva Apweiler

6 papers receiving 415 citations

Peers

Eva Apweiler
Comparison fields: 5 of 52
  • Aging 17
  • Molecular Biology 375
  • Cell Biology 34
  • Biophysics 10
  • Genetics 45
Replace Loes A. L. van de Pasch with:
Loes A. L. van de Pasch Netherlands
Alexandros Papagiannakis Netherlands
Athanasios Litsios Netherlands
Kristi E. Miller United States
Adhish S. Walvekar India
Richard She United States
Vladimír Pevala Slovakia
Heidi M. Blank United States
Nathaniel H. Thayer United States
Tim Humphrey United Kingdom
Eva Apweiler relative to Loes A. L. van de Pasch Netherlands Loes A. L. van de Pasch's profile →
Citations per field
00.5×1.5×
Loes A. L. van de Pasch · 1×
Citations per year

Countries citing papers authored by Eva Apweiler

Since Specialization
Citations

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

Fields of papers citing papers by Eva Apweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Eva Apweiler, 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 Eva Apweiler Line = papers co-authored together Eva Apweiler links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2014193
2 2010105
3 201070
4 201227
5 201516
6 201813

About Eva Apweiler

Eva Apweiler is a scholar working on Molecular Biology, Rehabilitation, Cell Biology, Food Science and Physiology, having authored 6 papers that have together received 424 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Bioinformatics and Genomic Networks (3 papers), Exercise and Physiological Responses (1 paper), Muscle metabolism and nutrition (1 paper), Gene Regulatory Network Analysis (1 paper), RNA Research and Splicing (1 paper), Genomics and Chromatin Dynamics (1 paper) and Physical Activity and Health (1 paper). The work is most often cited by research in Aging (17 citations), Molecular Biology (375 citations), Cell Biology (34 citations), Biophysics (10 citations) and Genetics (45 citations). Eva Apweiler has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Dik van Leenen, Nathalie Brabers, Frank C. P. Holstege, Patrick Kemmeren, Linda V. Bakker, Philip Lijnzaad, Joris J. Benschop, Nynke L. van Berkum, Hanneke W. M. van Deutekom and Katrin Sameith. Their work appears in journals such as Cell, BMC Genomics, Sports, Molecular Cell and BMC Biology.

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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