Margot P. Scheffer

2.0k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 12
Topics
RNA and protein synthesis mechanisms (4 papers)Reproductive tract infections research (3 papers)Streptococcal Infections and Treatments (3 papers)

In The Last Decade

Margot P. Scheffer

18 papers receiving 1.5k citations

Hit Papers

Atheroprotective communication between endothelial cells ...201220262016202120122505007501000

Peers

Margot P. Scheffer
Comparison fields: 5 of 106
  • Molecular Biology 1.2k
  • Cancer Research 690
  • Cardiology and Cardiovascular Medicine 162
  • Immunology 147
  • Structural Biology 116
Replace Maija Puhka with:
Maija Puhka Finland
Götz von Wichert Germany
Evgeny M. Makarov United Kingdom
Dominique Ploton France
Yevgeniy Romin United States
Steven A. Bogen United States
Viswanathan Palanisamy United States
Jennifer Lamb United States
Hervé Kaplan France
Caterina Cinti Italy
Margot P. Scheffer relative to Maija Puhka Finland Maija Puhka's profile →
Citations per field
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Maija Puhka · 1×
Citations per year

Countries citing papers authored by Margot P. Scheffer

Since Specialization
Citations

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

Fields of papers citing papers by Margot P. Scheffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margot P. Scheffer. 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 Margot P. Scheffer. The network helps show where Margot P. Scheffer may publish in the future.

Co-authorship network of co-authors of Margot P. Scheffer

This figure shows the co-authorship network connecting the top 25 collaborators of Margot P. Scheffer. A scholar is included among the top collaborators of Margot P. Scheffer 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 Margot P. Scheffer. Margot P. Scheffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 8
6 5
7 23
8 20
9 10
10 22
11 70
12 13
13 71
14
Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAsbreakdown →
1060
15 37
16 35
17 107
18 46
19 14

About Margot P. Scheffer

Margot P. Scheffer is a scholar working on Structural Biology, Microbiology and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Reproductive tract infections research (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Structural Biology (116 citations), Cancer Research (690 citations) and Molecular Biology (1.2k citations). Margot P. Scheffer has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Achilleas S. Frangakis, Thomas Boettger, Manuel Mayr, Carmen Urbich, Eduard Hergenreider, Thomas Braun, Anton J.G. Horrevoets, Xiaoke Yin, Karine Tréguer and Susanne Heydt. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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