E Mammarella

25 papers receiving 524 citations

Peers

E Mammarella
Comparison fields: 5 of 76
  • Biotechnology 89
  • Biomaterials 71
  • Molecular Biology 349
  • Endocrinology, Diabetes and Metabolism 66
  • Food Science 70
Replace Yun Sun with:
Yun Sun China
Camila Regina Hackenhaar Brazil
Qiuyun Shen China
Sohini Roy India
Tatjana Krivorotova Lithuania
C. G. Beddows United Kingdom
Héctor L. Ramírez Cuba
Deokyeong Choe South Korea
Jingsheng Zhang China
Bulei Sheng China
E Mammarella relative to Yun Sun China Yun Sun's profile →
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Citations per year

Countries citing papers authored by E Mammarella

Since Specialization
Citations

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

Fields of papers citing papers by E Mammarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside E Mammarella, 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 E Mammarella Line = papers co-authored together E Mammarella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 200877
3 201777
4 201845
5 201924
6 200324
7 200623
8 200517
9 200316
10 201815
11 201915
12 201415
13 201814
14 202112
15 200212
16 201311
17 201710
18 201510
19 20138
20 20168

About E Mammarella

E Mammarella is a scholar working on Molecular Biology, Biotechnology, Endocrinology, Diabetes and Metabolism, Surgery and Food Science, having authored 30 papers that have together received 539 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (13 papers), Enzyme Production and Characterization (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Diet, Metabolism, and Disease (7 papers), Pancreatic function and diabetes (6 papers), Polysaccharides Composition and Applications (3 papers), Electrochemical sensors and biosensors (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Biotechnology (89 citations), Biomaterials (71 citations), Molecular Biology (349 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Food Science (70 citations). E Mammarella has collaborated with scholars based in Argentina, Brazil and Italy. Frequent co-authors include Amelia C. Rubiolo, Wellington Sabino Adriano, Raquel L. C. Giordano, José Cleiton Sousa dos Santos, Dasciana S. Rodrigues, Guillermo A. Sihufe, Paulo Waldir Tardioli, Roberto C. Giordano, Heizir F. de Castro and Adriano A. Méndes. Their work appears in journals such as International Journal of Dairy Technology, Applied Biochemistry and Biotechnology, Process Biochemistry, Journal of Industrial Microbiology & Biotechnology and Journal of Molecular Catalysis B Enzymatic.

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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