M. Ramil

3.3k citations
80 papers · 2.7k · h-index 32

Impact in

Papers in

M. Ramil

79 papers receiving 2.6k citations

Peers

M. Ramil
Comparison fields: 5 of 117
  • Pollution 1.3k
  • Analytical Chemistry 1.0k
  • Health, Toxicology and Mutagenesis 844
  • Food Science 566
  • Spectroscopy 412
Replace Thierry Dagnac with:
Thierry Dagnac Spain
Marta Lores Spain
Zoraida Sosa‐Ferrera Spain
E. Rubí Spain
A. Navalón Spain
María Jesús Martínez Bueno Spain
Yelena Sapozhnikova United States
Beatriz Albero Spain
Consuelo Sánchez‐Brunete Spain
José Juan Santana‐Rodríguez Spain
M. Ramil relative to Thierry Dagnac Spain Thierry Dagnac's profile →
Citations per field
00.5×1.5×2.1×
Thierry Dagnac · 1×
Citations per year

Countries citing papers authored by M. Ramil

Since Specialization
Citations

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

Fields of papers citing papers by M. Ramil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 2008123
3 2009114
4 2009105
5 2008105
6 200797
7 200984
8 200784
9 200984
10 201478
11 201071
12 200869
13 200768
14 201060
15 201252
16 200552
17 201150
18 200849
19 201149
20 201049

About M. Ramil

M. Ramil is a scholar working on Pollution, Analytical Chemistry, Food Science, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 80 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (38 papers), Analytical chemistry methods development (37 papers), Pesticide Residue Analysis and Safety (21 papers), Analytical Chemistry and Chromatography (16 papers), Advanced Chemical Sensor Technologies (9 papers), Pharmacological Effects and Assays (8 papers), Indoor Air Quality and Microbial Exposure (7 papers) and Insect and Pesticide Research (7 papers). The work is most often cited by research in Pollution (1.3k citations), Analytical Chemistry (1.0k citations), Health, Toxicology and Mutagenesis (844 citations), Food Science (566 citations) and Spectroscopy (412 citations). M. Ramil has collaborated with scholars based in Spain, Germany and Malaysia. Frequent co-authors include I. Rodrı́guez, R. Cela, E. Rubí, Thomas A. Ternes, I. Carpinteiro, Guido Fink, Tamara Rodrı́guez, Gabriela Castro, J. Casado and Noelia Negreira. Their work appears in journals such as Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Chemosphere, The Science of The Total Environment and Talanta.

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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