Daniel Strauss

35 papers receiving 632 citations

Peers

Daniel Strauss
Comparison fields: 5 of 98
  • Infectious Diseases 135
  • Microbiology 33
  • Radiology, Nuclear Medicine and Imaging 113
  • Genetics 132
  • Molecular Biology 309
Replace John Auniņš with:
John Auniņš United States
Shannon Wing Ngor Au Hong Kong
Esther Furrer Switzerland
Penghui Yang China
Qinwei Shi Canada
G.B. Cline United States
Peter L. Roberts United States
P. N. Nation Canada
Byeong‐Sun Choi South Korea
Zezhong Liu China
Daniel Strauss relative to John Auniņš United States John Auniņš's profile →
Citations per field
00.5×
John Auniņš · 1×
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 200951
4 199950
5 201748
6 200042
7 200836
8 199934
9 201332
10 201031
11 201227
12 202018
13 200916
14 200716
15 199913
16 199912
17 201811
18 199711
19 202011
20 20128

About Daniel Strauss

Daniel Strauss is a scholar working on Applied Mathematics, Computational Mechanics, Genetics, Clinical Biochemistry and Molecular Biology, having authored 37 papers that have together received 656 indexed citations. Recurring topics across this work include Protein purification and stability (12 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Virus-based gene therapy research (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Gas Dynamics and Kinetic Theory (7 papers), Fluid Dynamics and Turbulent Flows (4 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Infectious Diseases (135 citations), Microbiology (33 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Genetics (132 citations) and Molecular Biology (309 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, Josef Neu, Vincent G. DeMarco, 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, Journal of Spacecraft and Rockets and The Journal of Infectious Diseases.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026