Carolina Batis

10.4k total citations · 1 hit paper
93 papers, 3.3k citations indexed

About

Carolina Batis is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Carolina Batis has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Public Health, Environmental and Occupational Health, 32 papers in Nutrition and Dietetics and 13 papers in Physiology. Recurrent topics in Carolina Batis's work include Obesity, Physical Activity, Diet (59 papers), Nutritional Studies and Diet (55 papers) and Consumer Attitudes and Food Labeling (30 papers). Carolina Batis is often cited by papers focused on Obesity, Physical Activity, Diet (59 papers), Nutritional Studies and Diet (55 papers) and Consumer Attitudes and Food Labeling (30 papers). Carolina Batis collaborates with scholars based in Mexico, United States and Slovenia. Carolina Batis's co-authors include Juan Á. Rivera, Barry M. Popkin, Tania G Sánchez-Pimienta, Joaquín Alejandro Marrón-Ponce, Lindsey Smith Taillie, Sı́món Barquera, Michelle A. Méndez, Maria Laura da Costa Louzada, Linda S. Adair and Tania C. Aburto and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The FASEB Journal.

In The Last Decade

Carolina Batis

88 papers receiving 3.2k citations

Hit Papers

Global estimation of dietary micronutrient inadequacies: ... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global estimation of dietary micronutrient inadequacies: a modelling analysis
    2024 87 citations Simone Passarelli, Christopher M. Free et al. The Lancet Global Health profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carolina Batis Mexico 30 2.4k 740 503 483 301 93 3.3k
Peilin Shi United States 20 1.9k 0.8× 1.0k 1.4× 373 0.7× 464 1.0× 194 0.6× 39 3.2k
Gitanjali Singh United States 17 2.0k 0.8× 1.1k 1.5× 425 0.8× 434 0.9× 280 0.9× 42 3.2k
Christine Cleghorn New Zealand 22 1.4k 0.6× 581 0.8× 464 0.9× 724 1.5× 147 0.5× 59 2.6k
Lara Nasreddine Lebanon 30 1.8k 0.7× 933 1.3× 527 1.0× 604 1.3× 116 0.4× 145 3.5k
Barrie Margetts United Kingdom 34 1.6k 0.7× 1.2k 1.6× 930 1.8× 681 1.4× 190 0.6× 87 4.2k
Johanna H. Nel South Africa 28 1.4k 0.6× 1.4k 1.8× 658 1.3× 307 0.6× 186 0.6× 64 2.7k
Helen Walls United Kingdom 27 979 0.4× 488 0.7× 694 1.4× 208 0.4× 514 1.7× 93 2.7k
Farah Naja Lebanon 34 1.6k 0.7× 772 1.0× 632 1.3× 629 1.3× 84 0.3× 164 3.8k
Prakash Shetty India 30 1.1k 0.5× 1.0k 1.4× 385 0.8× 747 1.5× 165 0.5× 66 3.1k
Regina Mara Fisberg Brazil 41 3.6k 1.5× 1.3k 1.8× 885 1.8× 1.1k 2.3× 137 0.5× 299 5.6k

Countries citing papers authored by Carolina Batis

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Batis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Batis

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Batis. A scholar is included among the top collaborators of Carolina Batis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carolina Batis. Carolina Batis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duran, Ana Clara, Carolina Batis, Deshira D. Wallace, et al.. (2025). The role of water insecurity in influencing water and sugar-sweetened beverage choices: A scoping review. PubMed. 4(5). e0000174–e0000174. 1 indexed citations
2.
Ramírez‐Silva, Ivonne, Martha María Téllez‐Rojo, Damaskini Valvi, et al.. (2025). Association Between Change in the Global Diet Quality Score (GDQS) and Adiposity Change From 2 to 7 Years of Age Among Mexicans. Nutrition Reviews. 83(Supplement_1). 61–71. 5 indexed citations
3.
Nilson, Eduardo Augusto Fernandes, Felipe Mendes Delpino, Carolina Batis, et al.. (2025). Premature Mortality Attributable to Ultraprocessed Food Consumption in 8 Countries. American Journal of Preventive Medicine. 68(6). 1091–1099. 7 indexed citations
4.
Monge, Adriana, John D. Groopman, Katherine A. McGlynn, et al.. (2024). Maize consumption and circulating aflatoxin levels in Mexican middle- and older-aged adults: a cross-sectional analysis. American Journal of Clinical Nutrition. 121(2). 454–462. 1 indexed citations
5.
Passarelli, Simone, Christopher M. Free, Alon Shepon, et al.. (2024). Global estimation of dietary micronutrient inadequacies: a modelling analysis. The Lancet Global Health. 12(10). e1590–e1599. 87 indexed citations breakdown →
6.
Ramírez‐Silva, Ivonne, Ana Carolina Ariza, M.M. Jimenez, et al.. (2023). Longitudinal patterns of breastfeeding and its association with adiposity and subjective indicators of satiety/appetite in the first 2 years of life. Appetite. 190. 107030–107030.
7.
Steele, Eurídice Martínez, Neha Khandpur, Carolina Batis, et al.. (2023). Best practices for applying the Nova food classification system. Nature Food. 4(6). 445–448. 70 indexed citations
8.
Marrón-Ponce, Joaquín Alejandro, Tania G Sánchez-Pimienta, Sonia Rodríguez‐Ramírez, Carolina Batis, & Gustavo Cediel. (2022). Ultra‐processed foods consumption reduces dietary diversity and micronutrient intake in the Mexican population. Journal of Human Nutrition and Dietetics. 36(1). 241–251. 34 indexed citations
9.
Birk, Nick, Mika Matsuzaki, Teresa T. Fung, et al.. (2021). Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India. Journal of Nutrition. 151(12 Suppl 2). 110S–118S. 14 indexed citations
10.
Duran, Ana Clara, Mélissa Mialon, Eric Crosbie, et al.. (2021). Food environment solutions for childhood obesity in Latin America and among Latinos living in the United States. Obesity Reviews. 22(S3). e13237–e13237. 28 indexed citations
11.
Duran, Ana Clara, Mélissa Mialon, Eric Crosbie, et al.. (2021). Soluciones relacionadas con el entorno alimentario para prevenir la obesidad infantil en América Latina y en la población latina que vive en Estados Unidos. Obesity Reviews. 22(S5). e13344–e13344. 4 indexed citations
12.
Ramírez‐Silva, Ivonne, Carolina Pérez‐Ferrer, Ana Carolina Ariza, et al.. (2021). Infant feeding, appetite and satiety regulation, and adiposity during infancy: a study design and protocol of the ‘MAS-Lactancia’ birth cohort. BMJ Open. 11(10). e051400–e051400. 10 indexed citations
13.
Fung, Teresa T., Yanping Li, Shilpa N Bhupathiraju, et al.. (2021). Higher Global Diet Quality Score Is Inversely Associated with Risk of Type 2 Diabetes in US Women. Journal of Nutrition. 151(12 Suppl 2). 168S–175S. 25 indexed citations
14.
Batis, Carolina, Mónica Mazariegos, Reynaldo Martorell, Ángel Gil, & Juan Á. Rivera. (2020). Malnutrition in all its forms by wealth, education and ethnicity in Latin America: who are more affected?. Public Health Nutrition. 23(S1). s1–s12. 39 indexed citations
15.
Barrientos‐Gutiérrez, Tonatiuh, M. Arantxa Colchero, Luz María Sánchez‐Romero, Carolina Batis, & Juan Á. Rivera. (2018). Posicionamiento sobre los impuestos a alimentos no básicos densamente energéticos y bebidas azucaradas. Salud Pública de México. 60(5, sep-oct). 586–586. 31 indexed citations
16.
Cantoral, Alejandra, Carolina Batis, & Niladri Basu. (2017). National estimation of seafood consumption in Mexico: Implications for exposure to methylmercury and polyunsaturated fatty acids. Chemosphere. 174. 289–296. 25 indexed citations
17.
Aburto, Tania C., Lilia S Pedraza, Tania G Sánchez-Pimienta, Carolina Batis, & Juan Á. Rivera. (2016). Discretionary Foods Have a High Contribution and Fruit, Vegetables, and Legumes Have a Low Contribution to the Total Energy Intake of the Mexican Population. Journal of Nutrition. 146(9). 1881S–1887S. 109 indexed citations
18.
Qin, Bo, Linda S. Adair, Brenda L. Plassman, et al.. (2015). Dietary Patterns and Cognitive Decline Among Chinese Older Adults. Epidemiology. 26(5). 758–768. 74 indexed citations
19.
Du, Shufa, Andrea Neiman, Carolina Batis, et al.. (2013). Understanding the patterns and trends of sodium intake, potassium intake, and sodium to potassium ratio and their effect on hypertension in China. American Journal of Clinical Nutrition. 99(2). 334–343. 223 indexed citations
20.
Batis, Carolina, Daniela Sotres‐Alvarez, Penny Gordon‐Larsen, et al.. (2013). Longitudinal analysis of dietary patterns in Chinese adults from 1991 to 2009. British Journal Of Nutrition. 111(8). 1441–1451. 158 indexed citations

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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