I. Grummt

1.0k citations
14 papers · 883 · h-index 13

Impact in

    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Fungal and yeast genetics research

Papers in

    • RNA Research and Splicing 8
    • Genomics and Chromatin Dynamics 7
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 5
    • CRISPR and Genetic Engineering 3
    • RNA regulation and disease 2

I. Grummt

14 papers receiving 868 citations

Peers

I. Grummt
Comparison fields: 5 of 62
  • Molecular Biology 828
  • Genetics 119
  • Cellular and Molecular Neuroscience 68
  • Aging 5
  • Immunology 47
Replace Stéphanie Kervestin with:
Stéphanie Kervestin France
E. Kleiner Austria
Chi-Yun Pai United States
Brian W. Guzik United States
Ercan Akgün Germany
Malcolm Cook United States
T. K. Rajendra United States
João Paulo Tavanez Portugal
Vladic Mogila Russia
Carl A. Stratton United States
I. Grummt relative to Stéphanie Kervestin France Stéphanie Kervestin's profile →
Citations per field
00.5×3.2×
Stéphanie Kervestin · 1×
Citations per year

Countries citing papers authored by I. Grummt

Since Specialization
Citations

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

Fields of papers citing papers by I. Grummt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990114
2 1991113
3 199499
4 199385
5 199482
6 198469
7 199567
8 201362
9 198861
10 199456
11 198732
12 199717
13 198316
14 200210

About I. Grummt

I. Grummt is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 14 papers that have together received 883 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers), interferon and immune responses (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Molecular Biology (828 citations), Genetics (119 citations), Cellular and Molecular Neuroscience (68 citations), Aging (5 citations) and Immunology (47 citations). I. Grummt has collaborated with scholars based in Germany, France and Russia. Frequent co-authors include A. Schnapp, Làszlò Tora, Ingrid Bartsch, Christa Pfleiderer, Raymond Evers, Udo Rudloff, John A. Skinner, Daniel Eberhard, Dirk Eberhard and Jean‐Marc Egly. Their work appears in journals such as The EMBO Journal, Molecular and Cellular Biology, Journal of Biological Chemistry, Biological Chemistry and Nucleic Acids Research.

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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