Jean‐Marc Steyaert

1.8k citations
42 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
RNA and protein synthesis mechanisms (11 papers)Machine Learning in Bioinformatics (9 papers)Protein Structure and Dynamics (9 papers)
Partner nations
FranceUnited StatesIran

In The Last Decade

Jean‐Marc Steyaert

41 papers receiving 1.1k citations

Hit Papers

How the Warburg effect supports aggressiveness and drug r...20182026202020232018100200300400

Peers

Jean‐Marc Steyaert
Comparison fields: 5 of 119
  • Molecular Biology 714
  • Cancer Research 396
  • Oncology 162
  • Pulmonary and Respiratory Medicine 86
  • Physiology 77
Replace Aristotelis Chatziioannou with:
Aristotelis Chatziioannou Greece
Mark E. Schurdak United States
Hui Peng China
Abhishek A. Chakraborty United States
Mioara Larion United States
Dénes Türei Germany
Seung‐Wook Ryu South Korea
Wenyu Wang China
Rachel L. Grimley United Kingdom
Jean‐Marc Steyaert relative to Aristotelis Chatziioannou Greece Aristotelis Chatziioannou's profile →
Citations per field
00.5×1.5×
Aristotelis Chatziioannou · 1×
Citations per year

Countries citing papers authored by Jean‐Marc Steyaert

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Steyaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Marc Steyaert

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Steyaert. A scholar is included among the top collaborators of Jean‐Marc Steyaert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Marc Steyaert. Jean‐Marc Steyaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 72
3
How the Warburg effect supports aggressiveness and drug resistance of cancer cells?breakdown →
449
4 2
5 21
6 1
7 2
8 4
9 1
10 54
11 14
12 5
13 23
14 2
15 39
16 25
17 24
18 2
19 3
20 8

About Jean‐Marc Steyaert

Jean‐Marc Steyaert is a scholar working on Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Cancer Research (396 citations), Molecular Biology (714 citations) and Biochemistry (55 citations). Jean‐Marc Steyaert has collaborated with scholars based in France, United States and Iran. Frequent co-authors include Philippe Icard, Hubert Lincet, Diana Farhat, Marco Alifano, S. Shulman, Laurent Schwartz, Marcel Levy Nogueira, Philippe Flajolet, Peter Clote and Jorgelindo da Veiga Moreira. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Nature Chemical Biology.

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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