M. Graffe

1.7k citations
44 papers · 1.4k · h-index 25

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • DNA and Nucleic Acid Chemistry
    • Chemical Synthesis and Analysis

Papers in

    • RNA and protein synthesis mechanisms 37
    • RNA modifications and cancer 19
    • RNA Research and Splicing 10
    • Genomics and Phylogenetic Studies 3
    • DNA and Nucleic Acid Chemistry 3
    • Protein Structure and Dynamics 3
    • Bacterial Genetics and Biotechnology 27

M. Graffe

44 papers receiving 1.3k citations

Peers

M. Graffe
Comparison fields: 5 of 67
  • Genetics 645
  • Molecular Biology 1.3k
  • Ecology 171
  • Endocrinology 30
  • Molecular Medicine 16
Replace J. Dondon with:
J. Dondon France
Navin Sinha United States
Hisao Uchida Japan
M. Kaczor-Grzeskowiak United States
Kenneth Zahn United States
Janny G. de Wit Netherlands
Alap R. Subramanian Germany
E. Fuchs Germany
Era Cassuto United States
Mandana Sassanfar United States
M. Graffe relative to J. Dondon France J. Dondon's profile →
Citations per field
00.5×
J. Dondon · 1×
Citations per year

Countries citing papers authored by M. Graffe

Since Specialization
Citations

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

Fields of papers citing papers by M. Graffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198586
2 198976
3 197571
4 198671
5 199664
6 198063
7 199257
8 198655
9 197550
10 199649
11 199946
12 197446
13 198346
14 199246
15 199842
16 198538
17 199034
18 197233
19 197733
20 199631

About M. Graffe

M. Graffe is a scholar working on Molecular Biology, Genetics, Ecology, Physical and Theoretical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (37 papers), Bacterial Genetics and Biotechnology (27 papers), RNA modifications and cancer (19 papers), RNA Research and Splicing (10 papers), Genomics and Phylogenetic Studies (3 papers), Bacteriophages and microbial interactions (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Genetics (645 citations), Molecular Biology (1.3k citations), Ecology (171 citations), Endocrinology (30 citations) and Molecular Medicine (16 citations). M. Graffe has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include Mathias Springer, M. Grunberg‐Manago, J. Dondon, Christine Sacerdot, J. Scott Butler, Jacqueline Plumbridge, Sylvain Blanquet, Pascale Romby, Chantal Ehresmann and Bernard Ehresmann. Their work appears in journals such as Journal of Molecular Biology, Biochimie, Molecular Microbiology, FEBS Letters and Gene.

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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