Michael Papetti

1.3k citations
11 papers · 1.0k · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Angiogenesis and VEGF in Cancer
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 1
    • Glycosylation and Glycoproteins Research 1
    • Kruppel-like factors research 1

Michael Papetti

11 papers receiving 998 citations

Peers

Michael Papetti
Comparison fields: 5 of 93
  • Cancer Research 208
  • Molecular Biology 622
  • Immunology and Allergy 47
  • Hematology 81
  • Genetics 72
Replace Joo Heon Kim with:
Joo Heon Kim South Korea
Amy E. Birsner United States
Silvia Truffa Italy
Jane Lane United Kingdom
Kathryn Hadfield United Kingdom
John M. Garland United Kingdom
Unmesh Jadhav United States
Hae Young Song South Korea
Charlotte E. Edling United Kingdom
Sandrine Guérin France
Michael Papetti relative to Joo Heon Kim South Korea Joo Heon Kim's profile →
Citations per field
00.5×1.6×
Joo Heon Kim · 1×
Citations per year

Countries citing papers authored by Michael Papetti

Since Specialization
Citations

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

Fields of papers citing papers by Michael Papetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2002659
2 2005122
3 200390
4 200540
5 201028
6 201027
7 200719
8 201118
9 201413
10 200110
11 20242

About Michael Papetti

Michael Papetti is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cell Adhesion Molecules Research (1 paper), Cancer Cells and Metastasis (1 paper), interferon and immune responses (1 paper), Cancer-related Molecular Pathways (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (622 citations), Immunology and Allergy (47 citations), Hematology (81 citations) and Genetics (72 citations). Michael Papetti has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Ira M. Herman, Arthur I. Skoultchi, Tomáš Stopka, Derek F. Amanatullah, Leonard H. Augenlicht, Kathleen N. Riley, Sandeep N. Wontakal, J. J. Yen, Yi‐Chun Chen and Chiun‐Gung Juo. Their work appears in journals such as Investigational New Drugs, Molecular Cancer Research, Cell Cycle, American Journal of Physiology-Cell Physiology and Journal of Cellular Physiology.

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.

Explore authors with similar magnitude of impact