Nassib Bezerra Bueno

2.7k total citations · 1 hit paper
100 papers, 1.8k citations indexed

About

Nassib Bezerra Bueno is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Nassib Bezerra Bueno has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Public Health, Environmental and Occupational Health, 26 papers in Physiology and 26 papers in Nutrition and Dietetics. Recurrent topics in Nassib Bezerra Bueno's work include Obesity, Physical Activity, Diet (36 papers), Child Nutrition and Water Access (20 papers) and Consumer Attitudes and Food Labeling (17 papers). Nassib Bezerra Bueno is often cited by papers focused on Obesity, Physical Activity, Diet (36 papers), Child Nutrition and Water Access (20 papers) and Consumer Attitudes and Food Labeling (17 papers). Nassib Bezerra Bueno collaborates with scholars based in Brazil, United States and Belgium. Nassib Bezerra Bueno's co-authors include Ingrid Sofia Vieira de Melo, Suzana Lima de Oliveira, Terezinha da Rocha Ataíde, Mateus de Lima Macêna, Alane Cabral Menezes de Oliveira, Dafiny Rodrigues Silva Praxedes, André Eduardo da Silva Júnior, Marília Oliveira Fonseca Goulart, Raphaela Costa Ferreira and Telma Maria de Menezes Toledo Florêncio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Nassib Bezerra Bueno

89 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: a meta-analysis of randomised controlled trials

2013 549 citations Nassib Bezerra Bueno, Ingrid Sofia Vieira de Melo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nassib Bezerra Bueno Brazil	19	869	527	366	298	254	100	1.8k
Tania Markovic Australia	24	909 1.0×	628 1.2×	431 1.2×	291 1.0×	510 2.0×	85	2.1k
Daniel S. Hsia United States	25	740 0.9×	611 1.2×	618 1.7×	145 0.5×	131 0.5×	85	2.2k
Jessica Smith United States	24	847 1.0×	1.1k 2.1×	360 1.0×	227 0.8×	144 0.6×	62	2.4k
S. John Weisnagel Canada	19	469 0.5×	268 0.5×	259 0.7×	143 0.5×	190 0.7×	38	1.3k
S. John Weisnagel Canada	30	1.4k 1.6×	645 1.2×	993 2.7×	318 1.1×	391 1.5×	92	3.9k
John W. Apolzan United States	24	727 0.8×	606 1.1×	201 0.5×	51 0.2×	84 0.3×	95	1.7k
Kara L. Marlatt United States	21	680 0.8×	315 0.6×	258 0.7×	114 0.4×	64 0.3×	47	1.3k
Daniela Laudisio Italy	30	1.2k 1.4×	737 1.4×	397 1.1×	110 0.4×	59 0.2×	51	2.8k
S Rössner Sweden	19	529 0.6×	319 0.6×	449 1.2×	170 0.6×	85 0.3×	38	1.6k
Georgios Valsamakis Greece	22	384 0.4×	307 0.6×	235 0.6×	269 0.9×	302 1.2×	62	1.4k

Countries citing papers authored by Nassib Bezerra Bueno

Since Specialization

Citations

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

Fields of papers citing papers by Nassib Bezerra Bueno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nassib Bezerra Bueno. 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 Nassib Bezerra Bueno. The network helps show where Nassib Bezerra Bueno may publish in the future.

Co-authorship network of co-authors of Nassib Bezerra Bueno

This figure shows the co-authorship network connecting the top 25 collaborators of Nassib Bezerra Bueno. A scholar is included among the top collaborators of Nassib Bezerra Bueno 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 Nassib Bezerra Bueno. Nassib Bezerra Bueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bueno, Nassib Bezerra, et al.. (2025). Association Between Psychobehavioral Factors and the Increased Eating Rate of Ultra-Processed Versus Non-Ultra-Processed Meals in Individuals with Obesity: A Secondary Analysis of a Randomized Trial. Nutrients. 17(13). 2236–2236.

Júnior, André Eduardo da Silva, et al.. (2025). Generalized anxiety disorder is associated with the consumption of ultra-processed foods and eating behaviors markers in university students. Nutrition Research. 143. 101–110. 1 indexed citations

Gitaí, Daniel Leite Góes, et al.. (2024). Effects of cocaine, nicotine, and marijuana exposure in Drosophila Melanogaster development: A systematic review and meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 134. 111049–111049. 1 indexed citations

Bueno, Nassib Bezerra, et al.. (2024). Antioxidant Therapy in Inflammatory Bowel Diseases: How Far Have We Come and How Close Are We?. Antioxidants. 13(11). 1369–1369. 1 indexed citations

Macêna, Mateus de Lima, et al.. (2024). A Meal with Ultra-Processed Foods Leads to a Faster Rate of Intake and to a Lesser Decrease in the Capacity to Eat When Compared to a Similar, Matched Meal Without Ultra-Processed Foods. Nutrients. 16(24). 4398–4398. 2 indexed citations

Bueno, Nassib Bezerra, et al.. (2023). Avaliação da insegurança alimentar no contexto da COVID-19: associação com o auxílio emergencial e recebimento de doação de alimentos na população em vulnerabilidade social de uma capital do Nordeste do Brasil. Ciência & Saúde Coletiva. 28(3). 721–730. 7 indexed citations

Macêna, Mateus de Lima, et al.. (2023). Estimates of Resting Energy Expenditure and Total Energy Expenditure Using Predictive Equations for Individuals After Bariatric Surgery: a Systematic Review with Meta-analysis. Obesity Surgery. 33(12). 3999–4006. 1 indexed citations

Macêna, Mateus de Lima, et al.. (2023). Longitudinal estimates of resting energy expenditure using predictive equations in individuals with excess weight after weight loss: A systematic review with meta-analysis. Clinical Nutrition ESPEN. 58. 263–269.

Júnior, André Eduardo da Silva, et al.. (2023). Prevalence of food addiction determined by the Yale Food Addiction Scale in Latin America: A systematic review with meta‐analysis. International Journal of Eating Disorders. 56(4). 677–690. 10 indexed citations

10.

Praxedes, Dafiny Rodrigues Silva, et al.. (2022). Underreporting of energy intake is not associated with the reported consumption of NOVA‐classified food groups in socially vulnerable women. Nutrition Bulletin. 47(4). 461–472. 1 indexed citations

11.

Macêna, Mateus de Lima, et al.. (2022). Prevalence of iron deficiency anemia in Brazilian women of childbearing age: a systematic review with meta-analysis. PeerJ. 10. e12959–e12959. 5 indexed citations

12.

Júnior, André Eduardo da Silva, et al.. (2021). Racial Differences in Generalized Anxiety Disorder During the COVID-19 Pandemic among Brazilian University Students: a National Survey. Journal of Racial and Ethnic Health Disparities. 9(5). 1680–1688. 5 indexed citations

13.

Ferreira, Raphaela Costa, Micaely Cristina dos Santos Tenório, Fabiana Andréa Moura, et al.. (2021). Biomarkers of Inflammation and Redox Imbalance in Umbilical Cord in Pregnancies with and without Preeclampsia and Consequent Perinatal Outcomes. Oxidative Medicine and Cellular Longevity. 2021(1). 9970627–9970627. 12 indexed citations

14.

Júnior, André Eduardo da Silva, Mateus de Lima Macêna, Dafiny Rodrigues Silva Praxedes, et al.. (2021). Association between COVID-19 diagnosis and economic class, race/skin color and social distancing in Brazilian university students. Medicina (Ribeirão Preto). 54(4). 1 indexed citations

15.

Rinaldi, Ana Elisa Madalena, et al.. (2021). Dietary patterns of children aged 6–24 months assisted by the Bolsa Família Program. Public Health Nutrition. 25(10). 2794–2804. 7 indexed citations

16.

Júnior, André Eduardo da Silva, et al.. (2021). Tendência do estado nutricional de gestantes adolescentes beneficiárias do programa de transferência condicionada de renda brasileiro Bolsa Família no período 2008-2018. Ciência & Saúde Coletiva. 26(7). 2613–2624. 4 indexed citations

17.

Júnior, André Eduardo da Silva, Dafiny Rodrigues Silva Praxedes, Mateus de Lima Macêna, et al.. (2020). Effects of time-restricted feeding on body weight, body composition and vital signs in low-income women with obesity: A 12-month randomized clinical trial. Clinical Nutrition. 40(3). 759–766. 74 indexed citations

18.

Ferreira, Raphaela Costa, et al.. (2019). Cross-Talk between Oxidative Stress and Inflammation in Preeclampsia. Oxidative Medicine and Cellular Longevity. 2019. 1–26. 160 indexed citations

19.

Bueno, Nassib Bezerra, et al.. (2019). Sitting/lying time is associated with waist‐to‐hip increase but not with body weight increase or blood cardiovascular risk factors changes in adult women living in social vulnerability: A 2‐year longitudinal study. American Journal of Human Biology. 32(3). e23372–e23372. 1 indexed citations

20.

Bueno, Nassib Bezerra, et al.. (2016). Higher central fat and poor self-body image in short-stature overweight/obese women living in Brazilian shantytowns. PeerJ. 4. e2547–e2547. 1 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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