Marc Sáez

227 papers receiving 5.4k citations

Peers

Marc Sáez
Comparison fields: 5 of 195
  • Health, Toxicology and Mutagenesis 2.1k
  • Speech and Hearing 412
  • Health 463
  • General Health Professions 1.1k
  • Modeling and Simulation 184
Replace Thomas Lumley with:
Thomas Lumley New Zealand
Xiaoying Zheng China
Amy H. Auchincloss United States
Anjum Hajat United States
Peter Scarborough United Kingdom
Peng Jia China
Marta Blangiardo United Kingdom
Marie Lynn Miranda United States
Nélson Gouveia Brazil
Kai Zhang China
Marc Sáez relative to Thomas Lumley New Zealand Thomas Lumley's profile →
Citations per field
00.5×3.4×
Thomas Lumley · 1×
Citations per year

Countries citing papers authored by Marc Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Marc Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996352
2 2010249
3 2003230
4 1993173
5 1998171
6 1995136
7 1991133
8 1996127
9 1995123
10 2020122
11 2017104
12 200494
13 199387
14 201578
15 200177
16 201674
17 201266
18 200265
19 201665
20 200365

About Marc Sáez

Marc Sáez is a scholar working on General Health Professions, Health, Toxicology and Mutagenesis, Health, Economics and Econometrics and Epidemiology, having authored 239 papers that have together received 5.7k indexed citations. Recurring topics across this work include Global Health Care Issues (44 papers), Air Quality and Health Impacts (42 papers), Health disparities and outcomes (39 papers), Climate Change and Health Impacts (36 papers), Blood Pressure and Hypertension Studies (18 papers), Employment and Welfare Studies (13 papers), Healthcare Policy and Management (13 papers) and Health Systems, Economic Evaluations, Quality of Life (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.1k citations), Speech and Hearing (412 citations), Health (463 citations), General Health Professions (1.1k citations) and Modeling and Simulation (184 citations). Marc Sáez has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include María Antònia Barceló, Aurelio Tobı́as, Jordi Sunyer, Jordi Castellsagué, Carles Murillo, Germà Coenders, Carme Saurina, Guillém López i Casasnovas, Josep María Espinet i Rius and Diego Varga. Their work appears in journals such as International Journal of Environmental Research and Public Health, Environmental Research, International Journal for Equity in Health, Journal of Epidemiology & Community Health and PLoS ONE.

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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