Nadia Perchat

551 citations
11 papers · 323 · h-index 9

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • Genomics and Phylogenetic Studies
    • Gut microbiota and health

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Genomics and Phylogenetic Studies 3
    • Biochemical and Molecular Research 2
    • Porphyrin Metabolism and Disorders 2
    • Polyamine Metabolism and Applications 2
    • Metabolism and Genetic Disorders 5

Nadia Perchat

11 papers receiving 318 citations

Peers

Nadia Perchat
Comparison fields: 5 of 72
  • Biochemistry 34
  • Molecular Biology 228
  • Building and Construction 27
  • Ecology 46
  • Pollution 20
Replace Xiaoqun Nie with:
Xiaoqun Nie China
Debra L. Tumbula United States
M. Reh Germany
Ana Mingote Portugal
Wytske de Vries Netherlands
Annika Röttig Germany
Nina Jagmann Germany
Susanne Bowien Germany
Kazuto Takasaki Japan
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Nadia Perchat

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Perchat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010134
2 200939
3 201738
4 201834
5 201225
6 201113
7 201110
8 201210
9 20228
10 20227
11 20195

About Nadia Perchat

Nadia Perchat is a scholar working on Molecular Biology, Clinical Biochemistry, Materials Chemistry, Biochemistry and Pollution, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Enzyme Structure and Function (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Phylogenetic Studies (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Biochemical and Molecular Research (2 papers), Porphyrin Metabolism and Disorders (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Biochemistry (34 citations), Molecular Biology (228 citations), Building and Construction (27 citations), Ecology (46 citations) and Pollution (20 citations). Nadia Perchat has collaborated with scholars based in France, Germany and Denmark. Frequent co-authors include Marcel Salanoubat, Alain Perret, Sabine Tricot, Jean Weissenbach, Denis Le Paslier, Núria Fonknechten, Georges N. Cohen, Aurélie Lajus, Sébastien Chaussonnerie and Annett Kreimeyer. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, BMC Genomics, Metabolic Engineering and Environmental Microbiology Reports.

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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