David Clases

1.4k citations
62 papers · 997 indexed · h-index 20

Impact in

Papers in

    • Analytical chemistry methods development 21
    • Mass Spectrometry Techniques and Applications 12
    • Advanced Proteomics Techniques and Applications 5

David Clases

54 papers receiving 989 citations

Peers

David Clases
Comparison fields: 5 of 103
  • Analytical Chemistry 358
  • Spectroscopy 238
  • Health, Toxicology and Mutagenesis 191
  • Pollution 119
  • Electrochemistry 53
Replace C. Derrick Quarles with:
C. Derrick Quarles United States
Björn Meermann Germany
Björn De Samber Belgium
Lee L. Yu United States
Julien Malherbe France
Lanlan Jin China
Owen T. Butler United Kingdom
Olga Borovinskaya Switzerland
Stephen E. Long United States
Steven J. Christopher United States
David Clases relative to C. Derrick Quarles United States C. Derrick Quarles's profile →
Citations per field
00.5×1.5×2.1×
C. Derrick Quarles · 1×
Citations per year

Countries citing papers authored by David Clases

Since Specialization
Citations

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

Fields of papers citing papers by David Clases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201560
3 202156
4 202149
5 202148
6 201744
7 201742
8 202239
9 201838
10 201837
11 201932
12 202131
13 202230
14 202229
15 201729
16 202026
17 202024
18 202023
19 202220
20 202319

About David Clases

David Clases is a scholar working on Analytical Chemistry, Spectroscopy, Health, Toxicology and Mutagenesis, Pollution and Inorganic Chemistry, having authored 62 papers that have together received 997 indexed citations. Recurring topics across this work include Analytical chemistry methods development (21 papers), Mass Spectrometry Techniques and Applications (12 papers), Mercury impact and mitigation studies (7 papers), Advanced Proteomics Techniques and Applications (5 papers), Radioactive element chemistry and processing (5 papers), Biosensors and Analytical Detection (4 papers), Heavy metals in environment (4 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Analytical Chemistry (358 citations), Spectroscopy (238 citations), Health, Toxicology and Mutagenesis (191 citations), Pollution (119 citations) and Electrochemistry (53 citations). David Clases has collaborated with scholars based in Austria, Australia and Germany. Frequent co-authors include Raquel González de Vega, Philip Doble, David Bishop, Thomas E. Lockwood, Uwe Kärst, Dominic J. Hare, Michael Sperling, Xiaoxue Xu, Samantha Goyen and Lukas Schlatt. Their work appears in journals such as Journal of Analytical Atomic Spectrometry, Analytical and Bioanalytical Chemistry, Analytical Chemistry, Talanta and TrAC Trends in Analytical Chemistry.

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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2026