Ingo Büssing

965 citations
6 papers · 768 · 1 hit paper · h-index 6

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 5
    • RNA Research and Splicing 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Nuclear Structure and Function 1

Ingo Büssing

6 papers receiving 761 citations

Ingo Büssing's Hit Papers

let-7 microRNAs in development, stem cells and cancer 2008 · 506 citations
5060+6+12Years since publication100200300400500

Peers

Ingo Büssing
Comparison fields: 5 of 75
  • Aging 108
  • Cancer Research 470
  • Molecular Biology 614
  • Immunology 50
  • Endocrine and Autonomic Systems 13
Replace Melissa L. Wilbert with:
Melissa L. Wilbert United States
Aydan Bulut-Karslıoğlu Germany
Michelle Boehm United States
Jay D. Kormish Canada
Rachael Nimmo United Kingdom
Steven W. Criscione United States
Nisha Narayan Australia
David G. Overdier United States
Donna McCabe Switzerland
Zhizhuo Zhang Singapore
Ingo Büssing relative to Melissa L. Wilbert United States Melissa L. Wilbert's profile →
Citations per field
00.5×3.3×
Melissa L. Wilbert · 1×
Citations per year

Countries citing papers authored by Ingo Büssing

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Büssing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ingo Büssing, 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 Ingo Büssing Line = papers co-authored together Ingo Büssing links everyone, so they are left out of the graph.

All Works

About Ingo Büssing

Ingo Büssing is a scholar working on Aging, Molecular Biology, Cancer Research, Nutrition and Dietetics and Physiology, having authored 6 papers that have together received 768 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), MicroRNA in disease regulation (3 papers), Selenium in Biological Systems (2 papers), RNA Research and Splicing (1 paper), Phagocytosis and Immune Regulation (1 paper), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Aging (108 citations), Cancer Research (470 citations), Molecular Biology (614 citations), Immunology (50 citations) and Endocrine and Autonomic Systems (13 citations). Ingo Büssing has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Helge Großhans, Frank J. Slack, Monika Fasler, Saibal Chatterjee, Eric C. Lai, Jr-Shiuan Yang, Ralf Schnabel, Arno F. Alpi, Sandra Moser and Anton Gartner. Their work appears in journals such as Developmental Cell, The EMBO Journal, Trends in Molecular Medicine, Cell Death and Disease and PLoS Genetics.

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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