Daniel Strauss

820 citations
37 papers · 667 · h-index 14

Impact in

Papers in

    • Protein purification and stability 12
    • Viral Infectious Diseases and Gene Expression in Insects 11
    • Computational Fluid Dynamics and Aerodynamics 8
    • Fluid Dynamics and Turbulent Flows 4

Daniel Strauss

36 papers receiving 644 citations

Peers

Daniel Strauss
Comparison fields: 5 of 92
  • Infectious Diseases 131
  • Radiology, Nuclear Medicine and Imaging 113
  • Microbiology 29
  • Genetics 130
  • Molecular Biology 315
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John Auniņš United States
Wilfried A.M. Bakker Netherlands
Chandresh Sharma India
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Zezhong Liu China
G.B. Cline United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Strauss

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Strauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200080
2 200355
3 200952
4 199950
5 201748
6 200042
7 200837
8 199934
9 201333
10 201032
11 201229
12 202019
13 200916
14 200716
15 199913
16 202012
17 199912
18 201811
19 199711
20 20128

About Daniel Strauss

Daniel Strauss is a scholar working on Molecular Biology, Computational Mechanics, Genetics, Applied Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 667 indexed citations. Recurring topics across this work include Protein purification and stability (12 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Virus-based gene therapy research (7 papers), Gas Dynamics and Kinetic Theory (7 papers), Microfluidic and Bio-sensing Technologies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Infectious Diseases (131 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Microbiology (29 citations), Genetics (130 citations) and Molecular Biology (315 citations). Daniel Strauss has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Deborah S. Wuttke, João Luiz F. Azevedo, Vincent G. DeMarco, Josef Neu, Gregory S. Blank, Scott Lute, Qi Chen, Kurt Brorson, Betsy C. Herold and Daniel Marcellino. Their work appears in journals such as Biotechnology Progress, Pediatric Research, Biotechnology and Bioengineering, The Journal of Infectious Diseases and Journal of Spacecraft and Rockets.

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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