Roberto Mateo

7.3k citations
31 papers · 5.7k · 1 hit paper · h-index 16

Impact in

  • Epidemiology top 0.5%
    • Autophagy in Disease and Therapy
  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism

Papers in

Roberto Mateo

30 papers receiving 5.6k citations

Roberto Mateo's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Roberto Mateo
Comparison fields: 5 of 150
  • Epidemiology 3.2k
  • Physiology 398
  • Geriatrics and Gerontology 178
  • Aging 84
  • Cell Biology 701
Replace Sunhee Lee with:
Sunhee Lee United States
Peter G. Speck Australia
Raquel Muñoz-Moreno United States
Hana Schmeisser United States
Andreas Meryk Austria
Mario Fabri Germany
Pallavi Chandra United States
János Kriston-Vizi United Kingdom
Clémence Richetta France
Vrajesh V. Parekh United States
Roberto Mateo relative to Sunhee Lee United States Sunhee Lee's profile →
Citations per field
00.5×1.5×
Sunhee Lee · 1×
Citations per year

Countries citing papers authored by Roberto Mateo

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Mateo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2 2017194
3 2016150
4 2012134
5 200887
6 200785
7 201969
8 200351
9 201839
10 200634
11 201526
12 200625
13 201823
14 202320
15 200720
16 201917
17 201616
18 202414
19 200913
20 20209

About Roberto Mateo

Roberto Mateo is a scholar working on Epidemiology, Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Hepatology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 5.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Immunology Research (7 papers), Animal Disease Management and Epidemiology (6 papers), Autophagy in Disease and Therapy (4 papers), Viral gastroenteritis research and epidemiology (3 papers), HIV Research and Treatment (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Epidemiology (3.2k citations), Physiology (398 citations), Geriatrics and Gerontology (178 citations), Aging (84 citations) and Cell Biology (701 citations). Roberto Mateo has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Mauricio García Mateu, Karla Kirkegaard, Claude M. Nagamine, Jan E. Carette, Celia Perales, Esteban Domingo, Michael Gale, Ernesto Méndez, Jeannie F. Spagnolo and Junying Yuan. Their work appears in journals such as Journal of Virology, Journal of Hepatology, Vaccine, mBio and Nature Chemical Biology.

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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