Alberto Salván

25 papers receiving 514 citations

Peers

Alberto Salván
Comparison fields: 5 of 104
  • Health, Toxicology and Mutagenesis 119
  • Radiological and Ultrasound Technology 39
  • Statistics, Probability and Uncertainty 57
  • Statistics and Probability 64
  • Chemical Health and Safety 5
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Countries citing papers authored by Alberto Salván

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Salván

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990124
2 199460
3 199656
4 199556
5 200447
6 199538
7 200426
8 199825
9 199723
10 201522
11 201416
12 200013
13 201413
14 199810
15 20026
16 20016
17 19975
18 19994
19
Problems in assessing the relative predictive value of internal markers versus external exposure in chronic disease epidemiology.
19934
20 19993

About Alberto Salván

Alberto Salván is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability, Cancer Research, Radiological and Ultrasound Technology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 567 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Toxic Organic Pollutants Impact (5 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Causal Inference Techniques (3 papers), Air Quality and Health Impacts (3 papers), Electromagnetic Fields and Biological Effects (3 papers), Noise Effects and Management (2 papers) and Occupational Health and Safety Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (119 citations), Radiological and Ultrasound Technology (39 citations), Statistics, Probability and Uncertainty (57 citations), Statistics and Probability (64 citations) and Chemical Health and Safety (5 citations). Alberto Salván has collaborated with scholars based in Italy, United States and Armenia. Frequent co-authors include Sander Greenland, Karl Thomaseth, Kyle Steenland, Leslie Stayner, Teresa M. Schnorr, Robert J. Roscoe, James A. Deddens, Thomas J. Smith, David H. Wegman and Marilyn F. Hallock. Their work appears in journals such as American Journal of Industrial Medicine, Statistics in Medicine, Environmental Health Perspectives, International Journal of Environmental Research and Public Health and International Archives of Occupational and Environmental Health.

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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