Michael Schoof

955 citations
6 papers · 227 · h-index 5

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA regulation and disease
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics

Papers in

    • RNA Research and Splicing 4
    • RNA regulation and disease 3
    • RNA and protein synthesis mechanisms 2
    • Viral Infectious Diseases and Gene Expression in Insects 1

Michael Schoof

6 papers receiving 227 citations

Peers

Michael Schoof
Comparison fields: 5 of 46
  • Aging 36
  • Molecular Biology 195
  • Cell Biology 42
  • Genetics 19
  • Immunology 13
Replace Gritta Tettweiler with:
Gritta Tettweiler Canada
Andrea Haag Switzerland
Yehuda M. Danino Israel
Jideofor Ezike United States
Guoxu Song China
Angika Basant United Kingdom
Christopher L. Lord United States
Neelam Dabas Sen United States
Divya Pattabiraman United States
Kepin Wang China
Michael Schoof relative to Gritta Tettweiler Canada Gritta Tettweiler's profile →
Citations per field
00.5×5.3×
Gritta Tettweiler · 1×
Citations per year

Countries citing papers authored by Michael Schoof

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schoof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202096
2 201862
3 202146
4 202115
5 20226
6 20212

About Michael Schoof

Michael Schoof is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Cell Biology and Genetics, having authored 6 papers that have together received 227 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA regulation and disease (3 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (1 paper), Insect and Pesticide Research (1 paper), Vector-Borne Animal Diseases (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (36 citations), Molecular Biology (195 citations), Cell Biology (42 citations), Genetics (19 citations) and Immunology (13 citations). Michael Schoof has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Adam Frost, Lan Wang, Rosalie Lawrence, Morgane Boone, Peter Walter, J. Zachery Cogan, Karole N. D’Orazio, Kamena K. Kostova, Marco Jost and Jonathan S. Weissman. Their work appears in journals such as eLife, Molecular Cell, The FASEB Journal and Nature Communications.

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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