G.M. Antón-Fos

708 citations
45 papers · 590 · h-index 17

Impact in

Papers in

G.M. Antón-Fos

45 papers receiving 570 citations

Peers

G.M. Antón-Fos
Comparison fields: 5 of 82
  • Computational Theory and Mathematics 317
  • Spectroscopy 192
  • Analytical Chemistry 70
  • Filtration and Separation 13
  • Organic Chemistry 160
Replace Emanuela Gancia with:
Emanuela Gancia United Kingdom
Suresh Babu Mekapati United States
R. Garcia‐Domenech Spain
Zahra Garkani‐Nejad Iran
Andrew G. Mercader Argentina
Olivera Čudina Serbia
Krzesimir Ciura Poland
Nada Perišić‐Janjić Serbia
Sote Vladimirov Serbia
Teng‐Man Chen United States
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Citations per field
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Citations per year

Countries citing papers authored by G.M. Antón-Fos

Since Specialization
Citations

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

Fields of papers citing papers by G.M. Antón-Fos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.M. Antón-Fos. 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 G.M. Antón-Fos. The network helps show where G.M. Antón-Fos may publish in the future.

Co-authors

The 19 scholars most cited alongside G.M. Antón-Fos, 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 G.M. Antón-Fos Line = papers co-authored together G.M. Antón-Fos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200135
2 199635
3 199629
4 202224
5 200623
6 200523
7 200121
8 200421
9 202019
10 200219
11 200119
12 199619
13 200418
14 202018
15 200618
16 199918
17 201017
18 199216
19 201715
20 199414

About G.M. Antón-Fos

G.M. Antón-Fos is a scholar working on Computational Theory and Mathematics, Spectroscopy, Organic Chemistry, Molecular Biology and Electrochemistry, having authored 45 papers that have together received 590 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (23 papers), Synthesis and biological activity (14 papers), Free Radicals and Antioxidants (4 papers), Chemical Thermodynamics and Molecular Structure (4 papers), Electrochemical Analysis and Applications (4 papers), Chemical and Physical Properties in Aqueous Solutions (3 papers) and Graph theory and applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (317 citations), Spectroscopy (192 citations), Analytical Chemistry (70 citations), Filtration and Separation (13 citations) and Organic Chemistry (160 citations). G.M. Antón-Fos has collaborated with scholars based in Spain. Frequent co-authors include María J. Duart, Ramón García‐Domenech, Jorge Gálvez, P. Aleman, Luis Lahuerta Zamora, Jesus Vicente de Julián‐Ortiz, Joaquín Calatayud, Beatriz Suay‐García, Antonio Falcó and María Teresa Pérez‐Gracia. Their work appears in journals such as Talanta, Journal of Chromatography A, Pharmaceuticals, Journal of Pharmacy and Pharmacology and Chromatographia.

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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