Michael Schoof

1.1k citations
7 papers · 361 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Ovarian cancer diagnosis and treatment

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

7 papers receiving 361 citations

Peers

Michael Schoof
Comparison fields: 5 of 56
  • Aging 37
  • Reproductive Medicine 42
  • Molecular Biology 223
  • Cell Biology 43
  • Cancer Research 34
Replace Suet‐Yan Kwan with:
Suet‐Yan Kwan United States
Danyu Lu China
Robert Stobezki United States
Jean-Christophe Dantonel France
Caroline Millet United Kingdom
Bing Sun China
Stéphanie Vinot France
Sonya Kamdar United States
Tristan Frum United States
Trista Schagat United States
Michael Schoof relative to Suet‐Yan Kwan United States Suet‐Yan Kwan's profile →
Citations per field
00.5×1.5×2.3×
Suet‐Yan Kwan · 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

7 of 7 papers shown
#Work
1 2013123
2 2020101
3 201866
4 202148
5 202115
6 20226
7 20212

About Michael Schoof

Michael Schoof is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Oncology and Epidemiology, having authored 7 papers that have together received 361 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), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Vector-Borne Animal Diseases (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Aging (37 citations), Reproductive Medicine (42 citations), Molecular Biology (223 citations), Cell Biology (43 citations) and Cancer Research (34 citations). Michael Schoof has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Adam Frost, R. J. H. Clark, Betty Theriault, Venkatesh Krishnan, Marina Chekmareva, Carrie Rinker‐Schaeffer, Rosalie Lawrence, Morgane Boone, Lan Wang and Peter Walter. Their work appears in journals such as eLife, The FASEB Journal, American Journal Of Pathology, Molecular Cell 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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