Natalie Germann

48 papers receiving 879 citations

Peers

Natalie Germann
Comparison fields: 5 of 102
  • Fluid Flow and Transfer Processes 265
  • Biomaterials 223
  • Molecular Medicine 77
  • Food Science 271
  • Rehabilitation 67
Replace Ki‐Won Song with:
Ki‐Won Song South Korea
Thomas B. Goudoulas Germany
Frédéric Renou France
Mohammad Tariqul Islam United States
Sara Liparoti Italy
Cristina‐Eliza Brunchi Ukraine
E. W. Grandmaison Canada
Vinay K. Singh India
Constanţa Ibănescu Romania
Maricel Danu Romania
Natalie Germann relative to Ki‐Won Song South Korea Ki‐Won Song's profile →
Citations per field
00.5×2.7×
Ki‐Won Song · 1×
Citations per year

Countries citing papers authored by Natalie Germann

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016103
2 202185
3 202174
4 201359
5 202141
6 201937
7 202036
8 201629
9 201827
10 201927
11 201823
12 201723
13 201623
14 201422
15 201819
16 201918
17 201917
18 201816
19 202116
20 201915

About Natalie Germann

Natalie Germann is a scholar working on Fluid Flow and Transfer Processes, Food Science, Biomedical Engineering, Computational Mechanics and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 900 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (29 papers), Polysaccharides Composition and Applications (13 papers), Blood properties and coagulation (8 papers), Material Dynamics and Properties (6 papers), Hydrogels: synthesis, properties, applications (4 papers), Textile materials and evaluations (4 papers), Lattice Boltzmann Simulation Studies (4 papers) and Surfactants and Colloidal Systems (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (265 citations), Biomaterials (223 citations), Molecular Medicine (77 citations), Food Science (271 citations) and Rehabilitation (67 citations). Natalie Germann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas B. Goudoulas, Arash Moeini, Sharadwata Pan, Antony N. Beris, L. Pamela Cook, Gabriella Santagata, Mario Malinconico, Ilenia De Luca, Pierfrancesco Cerruti and Anna Di Salle. Their work appears in journals such as Physics of Fluids, Journal of Non-Newtonian Fluid Mechanics, Journal of Rheology, Journal of Colloid and Interface Science and Journal of the mechanical behavior of biomedical materials.

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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