Elias Chaibub Neto

5.1k total citations · 2 hit papers
33 papers, 1.9k citations indexed

About

Elias Chaibub Neto is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Elias Chaibub Neto has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 6 papers in Statistics and Probability. Recurrent topics in Elias Chaibub Neto's work include Gene expression and cancer classification (7 papers), Statistical Methods and Inference (5 papers) and Bioinformatics and Genomic Networks (5 papers). Elias Chaibub Neto is often cited by papers focused on Gene expression and cancer classification (7 papers), Statistical Methods and Inference (5 papers) and Bioinformatics and Genomic Networks (5 papers). Elias Chaibub Neto collaborates with scholars based in United States, United Kingdom and Poland. Elias Chaibub Neto's co-authors include Stephen Friend, Alan Attie, Brian S. Yandell, Arno Klein, Mark P. Keller, Abhishek Pratap, Brian M. Bot, Andrew D. Trister, In Sock Jang and J Christopher Bare and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Elias Chaibub Neto

31 papers receiving 1.8k 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.

The mPower study, Parkinson disease mobile data collected using ResearchKit

2016 404 citations Brian M. Bot, Christine Suver et al. Scientific Data profile →
Mindboggling morphometry of human brains

2017 378 citations Arno Klein, Satrajit Ghosh et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elias Chaibub Neto United States	15	648	338	281	256	184	33	1.9k
Stanley E. Lazic United Kingdom	25	681 1.1×	280 0.8×	180 0.6×	117 0.5×	187 1.0×	64	2.4k
Anbupalam Thalamuthu Australia	27	1000 1.5×	251 0.7×	294 1.0×	348 1.4×	101 0.5×	92	2.5k
Stephan A. Müller Germany	27	1.1k 1.6×	278 0.8×	492 1.8×	128 0.5×	186 1.0×	105	2.5k
Michael Wainberg Canada	21	844 1.3×	84 0.2×	134 0.5×	417 1.6×	137 0.7×	40	2.5k
Xiao Chang China	25	1.1k 1.7×	277 0.8×	388 1.4×	431 1.7×	121 0.7×	125	2.6k
Antonella Santuccione Chadha Switzerland	17	714 1.1×	204 0.6×	658 2.3×	112 0.4×	61 0.3×	37	2.4k
Lily Wang United States	29	1.4k 2.2×	420 1.2×	119 0.4×	638 2.5×	43 0.2×	73	2.9k
Brian Chen United States	23	655 1.0×	271 0.8×	268 1.0×	134 0.5×	49 0.3×	144	2.7k
Zhandong Liu United States	37	2.6k 4.0×	291 0.9×	669 2.4×	702 2.7×	252 1.4×	121	4.7k
Eugene Lin Taiwan	28	734 1.1×	200 0.6×	213 0.8×	387 1.5×	21 0.1×	85	2.1k

Countries citing papers authored by Elias Chaibub Neto

Since Specialization

Citations

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

Fields of papers citing papers by Elias Chaibub Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elias Chaibub Neto. 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 Elias Chaibub Neto. The network helps show where Elias Chaibub Neto may publish in the future.

Co-authorship network of co-authors of Elias Chaibub Neto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yadav, Vijay, Elias Chaibub Neto, Megan Doerr, Abhishek Pratap, & Larsson Omberg. (2025). Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data. Interactive Journal of Medical Research. 14. e56803–e56803.

Neto, Elias Chaibub, et al.. (2024). Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings. Sensors. 24(19). 6246–6246. 1 indexed citations

Neto, Elias Chaibub, et al.. (2024). A novel estimator for the two-way partial AUC. BMC Medical Informatics and Decision Making. 24(1). 57–57. 1 indexed citations

Neto, Elias Chaibub. (2022). Causality-Aware Predictions in Static Anticausal Machine Learning Tasks. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5039–5053. 2 indexed citations

Neto, Elias Chaibub, Thanneer M. Perumal, Abhishek Pratap, et al.. (2022). Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies. PLoS ONE. 17(8). e0271766–e0271766. 1 indexed citations

Pratap, Abhishek, Steven R. Steinhubl, Elias Chaibub Neto, et al.. (2020). Changes in Continuous, Long-Term Heart Rate Variability and Individualized Physiological Responses to Wellness and Vacation Interventions Using a Wearable Sensor. Frontiers in Cardiovascular Medicine. 7. 120–120. 7 indexed citations

Neto, Elias Chaibub, Abhishek Pratap, Thanneer M. Perumal, et al.. (2019). Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digital Medicine. 2(1). 99–99. 46 indexed citations

Perumal, Thanneer M., Phil Snyder, Elias Chaibub Neto, et al.. (2018). Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors. 215–218. 2 indexed citations

Klein, Arno, Satrajit Ghosh, Forrest Sheng Bao, et al.. (2017). Mindboggling morphometry of human brains. PLoS Computational Biology. 13(2). e1005350–e1005350. 378 indexed citations breakdown →

10.

Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →

11.

Neto, Elias Chaibub. (2016). Using instrumental variables to disentangle treatment and placebo effects in blinded and unblinded randomized clinical trials influenced by unmeasured confounders. PubMed Central. 1 indexed citations

12.

Tasaki, Shinya, et al.. (2015). Bayesian Network Reconstruction Using Systems Genetics Data: Comparison of MCMC Methods. Genetics. 199(4). 973–989. 17 indexed citations

13.

Gaiteri, Chris, Mingming Chen, Bolesław K. Szymański, et al.. (2015). Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering. Scientific Reports. 5(1). 16361–16361. 47 indexed citations

14.

Neto, Elias Chaibub. (2015). Speeding Up Non-Parametric Bootstrap Computations for Statistics Based on Sample Moments in Small/Moderate Sample Size Applications. PLoS ONE. 10(6). e0131333–e0131333. 3 indexed citations

15.

Neto, Elias Chaibub, J Christopher Bare, & Adam A. Margolin. (2014). Simulation Studies as Designed Experiments: The Comparison of Penalized Regression Models in the “Large p, Small n” Setting. PLoS ONE. 9(10). e107957–e107957. 14 indexed citations

16.

Neto, Elias Chaibub, et al.. (2013). THE STREAM ALGORITHM: COMPUTATIONALLY EFFICIENT RIDGE-REGRESSION VIA BAYESIAN MODEL AVERAGING, AND APPLICATIONS TO PHARMACOGENOMIC PREDICTION OF CANCER CELL LINE SENSITIVITY. PubMed. 27–38. 23 indexed citations

17.

Neto, Elias Chaibub, Mark P. Keller, Alan Attie, & Brian S. Yandell. (2010). Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. The Annals of Applied Statistics. 4(1). 320–339. 76 indexed citations

18.

Ferrara, Christine T., Ping Wang, Elias Chaibub Neto, et al.. (2008). Correction: Genetic Networks of Liver Metabolism Revealed by Integration of Metabolic and Transcriptional Profiling. PLoS Genetics. 4(7). 14 indexed citations

19.

Ferrara, Christine T., Ping Wang, Elias Chaibub Neto, et al.. (2008). Genetic Networks of Liver Metabolism Revealed by Integration of Metabolic and Transcriptional Profiling. PLoS Genetics. 4(3). e1000034–e1000034. 165 indexed citations

20.

Keller, Mark P., YounJeong Choi, Ping Wang, et al.. (2008). A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility. Genome Research. 18(5). 706–716. 277 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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