Daniela De Biase

3.7k citations
76 papers · 2.9k indexed · 1 hit paper · h-index 29

Impact in

Papers in

Daniela De Biase

76 papers receiving 2.9k citations

Hit Papers

Coping with low pH: molecular strategies in neutralophilic bacteria 2014 · 375 citations
3752014202620182022100200300

Peers

Daniela De Biase
Comparison fields: 5 of 138
  • Endocrinology 307
  • Biochemistry 333
  • Food Science 666
  • Biotechnology 242
  • Microbiology 155
Replace Diego de Mendoza with:
Diego de Mendoza Argentina
Barry R. Bochner United States
Birgit Koch Germany
Víctor Ladero Spain
Beatriz del Río Spain
Valley Stewart United States
Lu Li China
Hideyuki Suzuki Japan
Marı́a Fernández Spain
Lars I. Leichert Germany
Daniela De Biase relative to Diego de Mendoza Argentina Diego de Mendoza's profile →
Citations per field
00.5×1.7×
Diego de Mendoza · 1×
Citations per year

Countries citing papers authored by Daniela De Biase

Since Specialization
Citations

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

Fields of papers citing papers by Daniela De Biase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela De Biase. 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 Daniela De Biase. The network helps show where Daniela De Biase may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20249
3 20242
4 202411
5 202316
6 20236
7 202336
8 2020175
9 20199
10 20163
11 201553
12 200954
13 200546
14 200317
15 200127
16 1999230
17 199953
18 19934
19 19906
20 199032

About Daniela De Biase

Daniela De Biase is a scholar working on Biochemistry, Biological Psychiatry, Endocrinology, Food Science and Microbiology, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (23 papers), GABA and Rice Research (16 papers), Probiotics and Fermented Foods (13 papers), Enzyme Structure and Function (11 papers), Bacterial Genetics and Biotechnology (11 papers), Polyamine Metabolism and Applications (9 papers), RNA and protein synthesis mechanisms (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Endocrinology (307 citations), Biochemistry (333 citations), Food Science (666 citations), Biotechnology (242 citations) and Microbiology (155 citations). Daniela De Biase has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Angela Tramonti, Francesco Bossa, Peter A. Lund, Eugenia Pennacchietti, Paolo Visca, Michele De Canio, Robert A. John, Donatella Barra, Guido Capitani and Maurizio Falconi. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Frontiers in Microbiology, Molecular Microbiology and Journal of Bacteriology.

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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