Fred Klaessig

12 papers receiving 6.7k citations

Hit Papers

Guidance to improve the scientific value of zeta-potential measurements in nanoEHS 2016 · 360 citations
360200920262014202010002.0k3.0k4.0k5.0k

Peers

Fred Klaessig
Comparison fields: 5 of 163
  • Biomaterials 2.1k
  • Materials Chemistry 3.3k
  • Surfaces, Coatings and Films 451
  • Biomedical Engineering 2.4k
  • Pollution 432
Replace Eudald Casals with:
Eudald Casals Spain
Martin Lundqvist Sweden
Monty Liong United States
Christoffer Åberg Netherlands
Michael Kovochich United States
Haiyuan Zhang China
Anil K. Patri United States
Dominic Docter Germany
Stefaan J. Soenen Belgium
Vipul Bansal Australia
Fred Klaessig relative to Eudald Casals Spain Eudald Casals's profile →
Citations per field
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Eudald Casals · 1×
Citations per year

Countries citing papers authored by Fred Klaessig

Since Specialization
Citations

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

Fields of papers citing papers by Fred Klaessig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 20241
2 202314
3 2018302
4
EU US Roadmap Nanoinformatics 2030
20186
5
Guidance to improve the scientific value of zeta-potential measurements in nanoEHS
Hit paper breakdown →
2016360
6 201669
7 201520
8 20151
9 2014222
10 201371
11 201135
12
Understanding biophysicochemical interactions at the nano–bio interface
Hit paper breakdown →
20095658

About Fred Klaessig

Fred Klaessig is a scholar working on Chemical Health and Safety, Biophysics, Electrochemistry, Information Systems and Management and Surfaces, Coatings and Films, having authored 12 papers that have together received 6.8k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (4 papers), Advanced Nanomaterials in Catalysis (2 papers), Research Data Management Practices (2 papers), Biomedical Text Mining and Ontologies (2 papers), Catalytic Processes in Materials Science (2 papers), Advanced Photocatalysis Techniques (2 papers), Nanoparticle-Based Drug Delivery (1 paper) and Nuclear and radioactivity studies (1 paper). The work is most often cited by research in Biomaterials (2.1k citations), Materials Chemistry (3.3k citations), Surfaces, Coatings and Films (451 citations), Biomedical Engineering (2.4k citations) and Pollution (432 citations). Fred Klaessig has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include André E. Nel, Lutz Mädler, P. Somasundaran, Darrell Velegol, Eric M.V. Hoek, Vince Castranova, Tian Xia, Stacey L. Harper, Christine Ogilvie Hendren and John Rumble. Their work appears in journals such as Environmental Science Nano, Scientific Reports, Beilstein Journal of Nanotechnology, BMC Biotechnology and Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology.

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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