Danielle Maass

22 papers receiving 410 citations

Peers

Danielle Maass
Comparison fields: 5 of 62
  • Pollution 85
  • Water Science and Technology 70
  • Mechanical Engineering 146
  • Analytical Chemistry 34
  • Biomedical Engineering 135
Replace Ramesh Sai Jayaraman with:
Ramesh Sai Jayaraman India
Srikanth Adithya India
Thiruselvi Devaraj India
Mark D. Redwood United Kingdom
Hiroaki Habaki Japan
Santanu Sarkar India
Abiram Karanam Rathankumar India
Jiewen Luo China
Faiza Hassan Pakistan
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Citations per field
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Ramesh Sai Jayaraman · 1×
Citations per year

Countries citing papers authored by Danielle Maass

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Maass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 200240
3 201538
4 201537
5 201731
6 202023
7 201921
8 201919
9 202118
10 201817
11 201717
12 201416
13 200214
14 201913
15 201712
16 20218
17 20245
18 20235
19 20215
20 20154

About Danielle Maass

Danielle Maass is a scholar working on Biomedical Engineering, Mechanical Engineering, Molecular Biology, Pollution and Water Science and Technology, having authored 24 papers that have together received 414 indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (8 papers), Microbial bioremediation and biosurfactants (5 papers), Metal Extraction and Bioleaching (5 papers), Catalytic Processes in Materials Science (4 papers), Minerals Flotation and Separation Techniques (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Catalysis for Biomass Conversion (4 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Pollution (85 citations), Water Science and Technology (70 citations), Mechanical Engineering (146 citations), Analytical Chemistry (34 citations) and Biomedical Engineering (135 citations). Danielle Maass has collaborated with scholars based in Brazil, Germany and France. Frequent co-authors include Antônio Augusto Ulson de Souza, Selene Maria de Arruda Guelli Ulson de Souza, Débora de Olíveira, Fabíola V. Hackbarth, Vítor J.P. Vilar, J. Vladimir Oliveira, Ralf Takors, M. Wubbolts, Georg A. Sprenger and Johannes Bongaerts. Their work appears in journals such as Bioprocess and Biosystems Engineering, Applied Biochemistry and Biotechnology, Journal of Chemical Technology & Biotechnology, Applied Microbiology and Biotechnology and Journal of Environmental Management.

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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