María Inés Giménez

801 citations
24 papers · 644 indexed · h-index 14

María Inés Giménez

21 papers receiving 632 citations

Peers

María Inés Giménez
Comparison fields: 5 of 64
  • Biotechnology 222
  • Molecular Biology 510
  • Genetics 160
  • Ecology 146
  • Endocrinology 24
Replace Alex Ter Beek with:
Alex Ter Beek Netherlands
Roberto A. Paggi Argentina
Rosana E. De Castro Argentina
Hans‐Matti Blencke Norway
Andrea Völker Germany
Suk‐Tae Kwon South Korea
Luc Tessier Canada
Matthew A. Humbard United States
Ronald G. Schoner United States
Stéphane Delmas France
María Inés Giménez relative to Alex Ter Beek Netherlands Alex Ter Beek's profile →
Citations per field
00.5×1.5×
Alex Ter Beek · 1×
Citations per year

Countries citing papers authored by María Inés Giménez

Since Specialization
Citations

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

Fields of papers citing papers by María Inés Giménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Inés Giménez. 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 María Inés Giménez. The network helps show where María Inés Giménez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20251
4 20240
5 20223
6 20221
7 20223
8 202038
9 201814
10 20141
11 201232
12 201217
13 200850
14 2007103
15 200716
16 20060
17 200566
18 200562
19 200548
20 2000115

About María Inés Giménez

María Inés Giménez is a scholar working on Biotechnology, Spectroscopy, Molecular Biology, Geochemistry and Petrology and Materials Chemistry, having authored 24 papers that have together received 644 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Genomics and Phylogenetic Studies (6 papers), Enzyme Structure and Function (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Bacterial Genetics and Biotechnology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Biochemical and Structural Characterization (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Biotechnology (222 citations), Molecular Biology (510 citations), Genetics (160 citations), Ecology (146 citations) and Endocrinology (24 citations). María Inés Giménez has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Mechthild Pohlschröder, Rosana E. De Castro, Kieran Dilks, Roberto A. Paggi, Claudia A. Studdert, Julie A. Maupin‐Furlow, Ken F. Jarrell, M. Karina Herrera Seitz, Jorge Sánchez and María Ximena Silveyra. Their work appears in journals such as Extremophiles, Journal of Bacteriology, FEMS Microbiology Reviews, Frontiers in Microbiology and Molecular Microbiology.

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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