Martine A. Collart

8.9k citations
76 papers · 7.4k indexed · 4 hit papers · h-index 41
Topics
RNA Research and Splicing (41 papers)RNA modifications and cancer (27 papers)Genomics and Chromatin Dynamics (25 papers)

In The Last Decade

Martine A. Collart

76 papers receiving 7.3k citations

Hit Papers

Regulation of tumor necrosis factor alpha transcription i...19892026200120131990199019891990250500750

Peers

Martine A. Collart
Comparison fields: 5 of 127
  • Molecular Biology 4.5k
  • Immunology 1.8k
  • Cancer Research 969
  • Pulmonary and Respiratory Medicine 786
  • Oncology 718
Replace Benjamin T. Kile with:
Benjamin T. Kile Australia
Robert Eferl Austria
Simon Rousseau Canada
Geertrui Denecker Belgium
Marco J. Herold Australia
Franco Di Padova Switzerland
Jin Mo Park United States
Richard C. Duke United States
Jochen Heß Germany
Dhananjaya V. Kalvakolanu United States
Martine A. Collart relative to Benjamin T. Kile Australia Benjamin T. Kile's profile →
Citations per field
00.5×1.5×
Benjamin T. Kile · 1×
Citations per year

Countries citing papers authored by Martine A. Collart

Since Specialization
Citations

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

Fields of papers citing papers by Martine A. Collart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martine A. Collart. 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 Martine A. Collart. The network helps show where Martine A. Collart may publish in the future.

Co-authorship network of co-authors of Martine A. Collart

This figure shows the co-authorship network connecting the top 25 collaborators of Martine A. Collart. A scholar is included among the top collaborators of Martine A. Collart 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 Martine A. Collart. Martine A. Collart 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 5
3 11
4 10
5 18
6 80
7 35
8 37
9 47
10 227
11 51
12 19
13 62
14 109
15 159
16 62
17 135
18
Kappa B-type enhancers are involved in lipopolysaccharide-mediated transcriptional activation of the tumor necrosis factor alpha gene in primary macrophages.breakdown →
739
19 31
20 474

About Martine A. Collart

Martine A. Collart is a scholar working on Molecular Biology, Aging and Cancer Research, having authored 76 papers that have together received 7.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (41 papers), RNA modifications and cancer (27 papers) and Genomics and Chromatin Dynamics (25 papers). The work is most often cited by research in Immunology (1.8k citations), Molecular Biology (4.5k citations) and Cancer Research (969 citations). Martine A. Collart has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include P Vassalli, Patrick A. Baeuerle, Olesya O. Panasenko, Georges E. Grau, Salvatore Oliviero, Sergei A. Nedospasov, Alexander N. Shakhov, C. Victor Jongeneel, Dominique Belin and Kevin Struhl. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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