Marc Gabriel

517 citations
28 papers · 340 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 5
    • Protein Structure and Dynamics 4
    • RNA Research and Splicing 3
    • Ubiquitin and proteasome pathways 2
    • Cancer-related molecular mechanisms research 5

Marc Gabriel

25 papers receiving 333 citations

Peers

Marc Gabriel
Comparison fields: 5 of 62
  • Endocrinology 27
  • Cancer Research 68
  • Plant Science 133
  • Molecular Biology 208
  • Horticulture 3
Replace Euk Y. Oh with:
Euk Y. Oh United States
Yuji Miyazawa Japan
Janina Pfaff Germany
Miriam-Rose Ash Australia
C Grabau United States
Liang Lu China
Oene R. Veltman Netherlands
Tri C. Nguyen United States
Ewa Śledziewska-Gójska Poland
Katalin Kis‐Petik Hungary
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Citations per field
00.5×10×14×
Euk Y. Oh · 1×
Citations per year

Countries citing papers authored by Marc Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Marc Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 201745
3 202139
4 202026
5 202218
6 202016
7 198414
8 197713
9 201913
10 197810
11 19828
12 19826
13 19815
14 19813
15 20243
16 19833
17 20222
18 19722
19 19822
20 19732

About Marc Gabriel

Marc Gabriel is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Spectroscopy and Plant Science, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers), Molecular spectroscopy and chirality (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), RNA Research and Splicing (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Endocrinology (27 citations), Cancer Research (68 citations), Plant Science (133 citations), Molecular Biology (208 citations) and Horticulture (3 citations). Marc Gabriel has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Daniel Gautheret, Aurélie Christ, Martín Crespi, Ana Beatriz Moreno, Rémi Bounon, Sandrine Balzergue, Hervé Vaucheret, Alexis Maizel, Allison C. Mallory and Ángel Emilio Martínez de Alba. Their work appears in journals such as Tetrahedron, eLife, Biochimie, Inorganica Chimica Acta and Cellular and Molecular Life Sciences.

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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