Rosa Grenha

1.0k citations
14 papers · 591 · h-index 10

Impact in

Papers in

    • TGF-β signaling in diseases 3
    • Bone Metabolism and Diseases 3
    • Bacterial biofilms and quorum sensing 2
    • Bacillus and Francisella bacterial research 2
    • Bacterial Genetics and Biotechnology 4

Rosa Grenha

14 papers receiving 579 citations

Peers

Rosa Grenha
Comparison fields: 5 of 83
  • Biotechnology 79
  • Immunology and Allergy 30
  • Molecular Biology 338
  • Genetics 122
  • Plant Science 148
Replace Andreas Knapp with:
Andreas Knapp Germany
Keith E. Kropp United States
Joanne L. Simala‐Grant Canada
Jeremy Thornton United Kingdom
Christopher J. Taylor United Kingdom
Xiaohui Xiong China
Rushi Liu China
Alexander Jacobi Germany
Jingdan Liang China
Alejandra Hernández‐Santoyo Mexico
Rosa Grenha relative to Andreas Knapp Germany Andreas Knapp's profile →
Citations per field
00.5×
Andreas Knapp · 1×
Citations per year

Countries citing papers authored by Rosa Grenha

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Grenha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004161
2 2011127
3 201283
4 201944
5 201238
6 201436
7 201326
8 201325
9 200517
10 200614
11 20218
12 20218
13 20253
14 20041

About Rosa Grenha

Rosa Grenha is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Materials Chemistry and Plant Science, having authored 14 papers that have together received 591 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), TGF-β signaling in diseases (3 papers), Cell Adhesion Molecules Research (3 papers), Bone Metabolism and Diseases (3 papers), Enzyme Structure and Function (3 papers), Enzyme-mediated dye degradation (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Biotechnology (79 citations), Immunology and Allergy (30 citations), Molecular Biology (338 citations), Genetics (122 citations) and Plant Science (148 citations). Rosa Grenha has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Lı́gia O. Martins, Sylvie Nessler, Adriano O. Henriques, Peter F. Lindley, Francisco J. Enguita, M.A. Carrondo, Didier Lereclus, Michael B. Brenner, Magali Nicaise and Leyla Slamti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Biological Chemistry, iScience and Scientific 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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