Luis Gras

1.1k citations
49 papers · 912 · h-index 17

Impact in

Papers in

    • Analytical chemistry methods development 33
    • Mass Spectrometry Techniques and Applications 12
    • Analytical Chemistry and Chromatography 3

Luis Gras

46 papers receiving 890 citations

Peers

Luis Gras
Comparison fields: 5 of 85
  • Analytical Chemistry 631
  • Electrochemistry 187
  • Spectroscopy 250
  • Health, Toxicology and Mutagenesis 150
  • Bioengineering 59
Replace Juan Mora with:
Juan Mora Spain
Renata S. Amais Brazil
M.T.C. de Loos-Vollebregt Netherlands
Geisamanda Pedrini Brandão Brazil
Fábio G. Lepri Brazil
Diogo P. Moraes Brazil
Günter Knapp Austria
Elena Peña‐Vázquez Spain
Atitaya Siripinyanond Thailand
Vicente Hernandis Spain
Luis Gras relative to Juan Mora Spain Juan Mora's profile →
Citations per field
00.5×1.5×
Juan Mora · 1×
Citations per year

Countries citing papers authored by Luis Gras

Since Specialization
Citations

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

Fields of papers citing papers by Luis Gras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luis Gras, 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 Luis Gras Line = papers co-authored together Luis Gras 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 2002160
2 200782
3 201181
4 201848
5 200932
6 200831
7 201530
8 200625
9 201924
10 200222
11 201719
12 202219
13 201518
14 199718
15 201916
16 199916
17 201416
18 202115
19 199915
20 200314

About Luis Gras

Luis Gras is a scholar working on Analytical Chemistry, Spectroscopy, Electrochemistry, Biomedical Engineering and Health, Toxicology and Mutagenesis, having authored 49 papers that have together received 912 indexed citations. Recurring topics across this work include Analytical chemistry methods development (33 papers), Mass Spectrometry Techniques and Applications (12 papers), Electrochemical Analysis and Applications (11 papers), Mercury impact and mitigation studies (8 papers), Heavy metals in environment (5 papers), Advanced Chemical Sensor Technologies (4 papers), Laser-induced spectroscopy and plasma (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Analytical Chemistry (631 citations), Electrochemistry (187 citations), Spectroscopy (250 citations), Health, Toxicology and Mutagenesis (150 citations) and Bioengineering (59 citations). Luis Gras has collaborated with scholars based in Spain, Netherlands and Belgium. Frequent co-authors include Juan Mora, Guillermo Grindlay, M.T.C. de Loos-Vollebregt, Vicente Hernandis, José Luis Todolí Torró, Antonio Canals, Salvador E. Maestre Pérez, Ángel Cuesta, E.H. van Veen and Miguel de la Guárdia. Their work appears in journals such as Journal of Analytical Atomic Spectrometry, Spectrochimica Acta Part B Atomic Spectroscopy, Talanta, Analytica Chimica Acta and Journal of Food Composition and Analysis.

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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