Anna Pino

2.1k citations
67 papers · 1.6k indexed · h-index 23

Impact in

Papers in

Anna Pino

67 papers receiving 1.6k citations

Peers

Anna Pino
Comparison fields: 5 of 138
  • Health, Toxicology and Mutagenesis 728
  • Pollution 335
  • Nutrition and Dietetics 393
  • Analytical Chemistry 165
  • Dermatology 91
Replace Alessandro Alimonti with:
Alessandro Alimonti Italy
O. Senofonte Italy
N Violante Italy
A. Ronchi Italy
Carlotta Malagoli Italy
Ramesh Murthy India
Margarita G. Skalnaya Russia
L Alessio Italy
G. Drasch Germany
Sunderman Fw United States
Anna Pino relative to Alessandro Alimonti Italy Alessandro Alimonti's profile →
Citations per field
00.5×1.5×2.2×
Alessandro Alimonti · 1×
Citations per year

Countries citing papers authored by Anna Pino

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202215
3 201952
4 201913
5 201916
6 201929
7 201970
8 20189
9 201715
10 20122
11 201221
12 201124
13
Biomonitoring of the Italian population to metals: reference values 1990-2009.
20107
14 201022
15 200958
16 200722
17 200761
18 2006109
19
Quantification of chemical elements in blood of patients affected by multiple sclerosis.
200540
20 198714

About Anna Pino

Anna Pino is a scholar working on Health, Toxicology and Mutagenesis, Analytical Chemistry, Pollution, Nutrition and Dietetics and Industrial and Manufacturing Engineering, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (25 papers), Heavy metals in environment (15 papers), Trace Elements in Health (13 papers), Analytical chemistry methods development (7 papers), Computational Drug Discovery Methods (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Aluminum toxicity and tolerance in plants and animals (6 papers) and Mercury impact and mitigation studies (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (728 citations), Pollution (335 citations), Nutrition and Dietetics (393 citations), Analytical Chemistry (165 citations) and Dermatology (91 citations). Anna Pino has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Beatrice Bocca, Giovanni Forte, Alessandro Alimonti, Alessandro Alimonti, Marcelo Enrique Conti, Daniela Mattei, Giuseppe Sancesario, Flavia Ruggieri, Francesco Petrucci and Gemma Calamandrei. Their work appears in journals such as Environmental Research, Rapid Communications in Mass Spectrometry, Environmental Toxicology and Chemistry, International Journal of Hygiene and Environmental Health and SAR and QSAR in environmental research.

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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