Elmar Schilling

861 citations
9 papers · 614 · h-index 8

Impact in

  • Genetics top 10%
    • Genetic Syndromes and Imprinting
    • Forensic and Genetic Research
    • Genetics and Neurodevelopmental Disorders
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics

Papers in

    • Epigenetics and DNA Methylation 4
    • Cancer-related gene regulation 4
    • Genomics and Rare Diseases 1
    • Genetics and Neurodevelopmental Disorders 1
    • Genetic Syndromes and Imprinting 1

Elmar Schilling

8 papers receiving 600 citations

Peers

Elmar Schilling
Comparison fields: 5 of 78
  • Genetics 232
  • Molecular Biology 462
  • Cancer Research 40
  • Ecology 63
  • Insect Science 27
Replace Timothy Schedl with:
Timothy Schedl United States
Ana S. Quina Portugal
Dinko Pavlinić Germany
Michael D. Kessler United States
Yasumitsu Nagao Japan
Antoine Molaro United States
Mijke Visser Netherlands
Marion L. Carroll United States
Sienna H. Margan Australia
B. Nicoletti Italy
Elmar Schilling relative to Timothy Schedl United States Timothy Schedl's profile →
Citations per field
00.5×3.7×
Timothy Schedl · 1×
Citations per year

Countries citing papers authored by Elmar Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006131
2 2007109
3 2013100
4 201096
5 200981
6 201539
7 200732
8 202026
9 20210

About Elmar Schilling

Elmar Schilling is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Ecology and Cell Biology, having authored 9 papers that have together received 614 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Genetic Syndromes and Imprinting (1 paper), Plant and animal studies (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Genetics (232 citations), Molecular Biology (462 citations), Cancer Research (40 citations), Ecology (63 citations) and Insect Science (27 citations). Elmar Schilling has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Michael Rehli, Claudia Gebhard, Maja Klug, Reinhard Andreesen, Lucia Schwarzfischer, Daniel C. Richter, Georg Gradl, Burkhard Rolf, Mathias Ehrich and Christopher Benner. Their work appears in journals such as Cancer Research, Genomics, Journal of Biological Chemistry, Forensic Science International Genetics and PLoS ONE.

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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