Danielle Maass

22 papers receiving 399 citations

Peers

Danielle Maass
Comparison fields: 5 of 62
  • Pollution 85
  • Water Science and Technology 70
  • Mechanical Engineering 143
  • Analytical Chemistry 35
  • Biomedical Engineering 138
Replace Ramesh Sai Jayaraman with:
Ramesh Sai Jayaraman India
Srikanth Adithya India
Dar-Ren Ji Taiwan
Mark D. Redwood United Kingdom
Shaoxuan Ding China
Hiroaki Habaki Japan
Santanu Sarkar India
Abiram Karanam Rathankumar India
Jiewen Luo China
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 200240
3 201537
4 201536
5 201731
6 202022
7 201920
8 202118
9 201817
10 201917
11 201416
12 201715
13 200214
14 201912
15 201712
16 20218
17 20235
18 20215
19 20154
20 19634

About Danielle Maass

Danielle Maass is a scholar working on Biomedical Engineering, Mechanical Engineering, Molecular Biology, Pollution and Water Science and Technology, having authored 23 papers that have together received 404 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), Catalysis for Biomass Conversion (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Minerals Flotation and Separation Techniques (4 papers), Catalytic Processes in Materials Science (4 papers) and Microplastics and Plastic Pollution (3 papers). The work is most often cited by research in Pollution (85 citations), Water Science and Technology (70 citations), Mechanical Engineering (143 citations), Analytical Chemistry (35 citations) and Biomedical Engineering (138 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, M. Wubbolts, Ralf Takors, Dachamir Hotza and Georg A. Sprenger. Their work appears in journals such as Bioprocess and Biosystems Engineering, Journal of Chemical Technology & Biotechnology, Applied Biochemistry and Biotechnology, Biotechnology Reports and Biotechnology and Bioengineering.

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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