M O Ott

893 citations
7 papers · 766 · h-index 7

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Diabetes and associated disorders
    • Muscle Physiology and Disorders
    • Congenital heart defects research
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Fibroblast Growth Factor Research

Papers in

    • Muscle Physiology and Disorders 2
    • Congenital heart defects research 1
    • Protein purification and stability 1
    • Glycosylation and Glycoproteins Research 1
    • Pancreatic function and diabetes 4

M O Ott

7 papers receiving 732 citations

Peers

M O Ott
Comparison fields: 5 of 67
  • Genetics 280
  • Molecular Biology 573
  • Surgery 251
  • Endocrinology, Diabetes and Metabolism 80
  • Genetics 48
Replace Eleni Ktistaki with:
Eleni Ktistaki Greece
Mary R. Dusing United States
Lionel Rémy France
Ken Zaret United States
M. Rivière Belgium
Hiroki Hirai Japan
C Mottola Italy
Vivek Shukla United States
E Emison United States
A Toscani United States
M O Ott relative to Eleni Ktistaki Greece Eleni Ktistaki's profile →
Citations per field
00.5×5.3×
Eleni Ktistaki · 1×
Citations per year

Countries citing papers authored by M O Ott

Since Specialization
Citations

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

Fields of papers citing papers by M O Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M O Ott. 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 M O Ott. The network helps show where M O Ott may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown

About M O Ott

M O Ott is a scholar working on Molecular Biology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 766 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Muscle Physiology and Disorders (2 papers), Congenital heart defects research (1 paper), Diabetes Management and Research (1 paper), Cardiomyopathy and Myosin Studies (1 paper), Protein purification and stability (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Genetics (280 citations), Molecular Biology (573 citations), Surgery (251 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Genetics (48 citations). M O Ott has collaborated with scholars based in France. Frequent co-authors include Mary C. Weiss, Linda Sperling, Philippe Herbomel, Moshé Yaniv, Marjorie Jenny, Gérard Gradwohl, Cécile Haumaître, Elena Barbacci, Silvia Cereghini and Jacqueline Levilliers. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Development and PubMed.

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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