Leonardo Mata

147 papers receiving 4.8k citations

Leonardo Mata's Hit Papers

The protein content of seaweeds: a universal nitrogen-to-protein conversion factor of five 2015 · 324 citations
3240+3+7Years since publication100200300

Peers

Leonardo Mata
Comparison fields: 5 of 151
  • Endocrinology 671
  • Aquatic Science 841
  • Infectious Diseases 1.5k
  • Nutrition and Dietetics 1.2k
  • Oceanography 831
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Countries citing papers authored by Leonardo Mata

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The protein content of seaweeds: a universal nitrogen-to-protein conversion factor of five
Hit paper breakdown →
2015324
2 1972256
3
The children of Santa María Cauqué: a prospective field study of health and growth.
1978201
4 1971199
5 1978189
6 1970133
7 1986133
8 1984133
9 2013128
10 1972125
11 2015122
12 201096
13 197187
14 199286
15 197084
16 201682
17 197279
18 197178
19 197877
20 197074

About Leonardo Mata

Leonardo Mata is a scholar working on Nutrition and Dietetics, Infectious Diseases, Oceanography, Endocrinology and Epidemiology, having authored 154 papers that have together received 5.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (30 papers), Child Nutrition and Water Access (29 papers), Marine and coastal plant biology (22 papers), Escherichia coli research studies (13 papers), Seaweed-derived Bioactive Compounds (12 papers), Algal biology and biofuel production (12 papers), Parasitic Infections and Diagnostics (10 papers) and Vibrio bacteria research studies (9 papers). The work is most often cited by research in Endocrinology (671 citations), Aquatic Science (841 citations), Infectious Diseases (1.5k citations), Nutrition and Dietetics (1.2k citations) and Oceanography (831 citations). Leonardo Mata has collaborated with scholars based in Costa Rica, United States and Guatemala. Frequent co-authors include Rocky de Nys, Nicholas A. Paul, Juan J. Urrutia, Rui Santos, Alex R. Angell, Richard G. Wyatt, Andreas Schuenhoff, Marie Magnusson, Gerald T. Keusch and James McIver. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, American Journal of Clinical Nutrition, Journal of Applied Phycology, Journal of Phycology and The Journal of Infectious Diseases.

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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