Natalie Lefort

1.4k total citations
23 papers, 1.1k citations indexed

About

Natalie Lefort is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Natalie Lefort has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Surgery. Recurrent topics in Natalie Lefort's work include Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (7 papers) and Fatty Acid Research and Health (4 papers). Natalie Lefort is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (7 papers) and Fatty Acid Research and Health (4 papers). Natalie Lefort collaborates with scholars based in United States, Canada and Denmark. Natalie Lefort's co-authors include Lawrence J. Mandarino, Zhengping Yi, Benjamin P. Bowen, Hyonson Hwang, Kurt Højlund, Elena A. De Filippis, Charles R. Flynn, Paul R. Langlais, Christian Meyer and Wayne T. Willis and has published in prestigious journals such as Biochemistry, Cell Metabolism and Diabetes.

In The Last Decade

Natalie Lefort

23 papers receiving 1.1k citations

Peers

Natalie Lefort
Comparison fields: 5 of 97
  • Molecular Biology 759
  • Physiology 519
  • Cell Biology 267
  • Epidemiology 111
  • Surgery 92
Nolan J. Hoffman Australia
Alba González-Franquesa Denmark
Martin Mogensen Denmark
Rasmus Kjøbsted Denmark
Marie Boutant Switzerland
Shangyu Hong China
Hervé Dubouchaud France
Sylvie Ducreux France
Alexandra Chadt Germany
Jill M. Schimke United States
Nolan J. Hoffman Australia View profile →
Citations per field, relative to Natalie Lefort
Natalie Lefort · 1×
Citations per year, relative to Natalie Lefort
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Countries citing papers authored by Natalie Lefort

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Lefort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Lefort

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Lefort. A scholar is included among the top collaborators of Natalie Lefort 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 Natalie Lefort. Natalie Lefort 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
# Work Indexed citations
1 1
2 7
3 24
4 15
5 44
6 32
7 45
8 107
9 30
10 79
11 139
12 54
13 61
14 198
15 51
16 31
17 103
18 46
19 31
20
Influence of a feeder layer in cell culture: modulation of the transcription factors Sp1 and Sp3 by irradiated 3T3 cells.
1

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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