Ingo Büssing

967 citations
6 papers · 771 · 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
    • DNA Repair Mechanisms 1
    • Pluripotent Stem Cells Research 1
    • Nuclear Structure and Function 1

Ingo Büssing

6 papers receiving 764 citations

Ingo Büssing's Hit Papers

let-7 microRNAs in development, stem cells and cancer 2008 · 509 citations
5090+6+12Years since publication100200300400500

Peers

Ingo Büssing
Comparison fields: 5 of 72
  • Aging 108
  • Cancer Research 439
  • Molecular Biology 578
  • Immunology 44
  • Endocrine and Autonomic Systems 13
Replace Melissa L. Wilbert with:
Melissa L. Wilbert United States
Nisha Narayan Australia
Ellen Youngsoo Rim United States
Maria L. Naylor United States
David G. Overdier United States
Daphne S. Cabianca Switzerland
Ryan C. Thompson United States
Zhizhuo Zhang Singapore
Kristen C. Brown United States
Dan Röhme Sweden
Ingo Büssing relative to Melissa L. Wilbert United States Melissa L. Wilbert's profile →
Citations per field
00.5×4.3×
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 771 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), DNA Repair Mechanisms (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Pluripotent Stem Cells Research (1 paper), Phagocytosis and Immune Regulation (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Aging (108 citations), Cancer Research (439 citations), Molecular Biology (578 citations), Immunology (44 citations) and Endocrine and Autonomic Systems (13 citations). Ingo Büssing has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Helge Großhans, Frank J. Slack, Monika Fasler, Saibal Chatterjee, Eric C. Lai, Jr-Shiuan Yang, Ralf Schnabel, Sandra Moser, Anton Gartner and Arno F. Alpi. Their work appears in journals such as Trends in Molecular Medicine, European Journal of Cell Biology, The EMBO Journal, Developmental Cell 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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