Boyi Guo

609 total citations
24 papers, 268 citations indexed

About

Boyi Guo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Boyi Guo has authored 24 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Boyi Guo's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Nutritional Studies and Diet (5 papers). Boyi Guo is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Nutritional Studies and Diet (5 papers). Boyi Guo collaborates with scholars based in United States, China and Australia. Boyi Guo's co-authors include Nengjun Yi, Xinyan Zhang, Masooda Bashir, Zaixiang Tang, Nasir Memon, Yu‐Fang Pei, Wenzhuo Zhuang, Lei Zhang, Suzanne E. Judd and George Howard and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Boyi Guo

21 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boyi Guo United States 10 105 42 31 25 23 24 268
Daniel Merl United States 6 98 0.9× 37 0.9× 17 0.5× 39 1.6× 20 0.9× 14 335
Daniel R. Harris United States 11 131 1.2× 16 0.4× 18 0.6× 59 2.4× 69 3.0× 52 448
Anita Walden United States 9 59 0.6× 13 0.3× 15 0.5× 30 1.2× 83 3.6× 21 265
Sérgio Miranda Freire Brazil 11 139 1.3× 22 0.5× 7 0.2× 10 0.4× 15 0.7× 29 328
Sartaj Ahmad India 12 120 1.1× 24 0.6× 23 0.7× 22 0.9× 48 2.1× 66 458
Raphael Cohen Israel 11 166 1.6× 17 0.4× 27 0.9× 20 0.8× 61 2.7× 24 465
Sebastian C. Semler Germany 7 38 0.4× 18 0.4× 13 0.4× 21 0.8× 86 3.7× 25 212
Michele E. Day United States 5 103 1.0× 17 0.4× 6 0.2× 14 0.6× 29 1.3× 5 195
Tianchen Lyu United States 8 32 0.3× 13 0.3× 10 0.3× 37 1.5× 27 1.2× 22 252
Joyce Backus United States 8 52 0.5× 47 1.1× 7 0.2× 13 0.5× 44 1.9× 15 250

Countries citing papers authored by Boyi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Boyi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyi Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Boyi Guo. A scholar is included among the top collaborators of Boyi Guo 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 Boyi Guo. Boyi Guo 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.
Zhou, Haowen, et al.. (2025). Spatial mutual nearest neighbors for spatial transcriptomics data. Bioinformatics. 41(8). 1 indexed citations
2.
Totty, Michael S., Stephanie C. Hicks, & Boyi Guo. (2025). SpotSweeper: spatially aware quality control for spatial transcriptomics. Nature Methods. 22(7). 1520–1530.
3.
4.
Malla, Gargya, D. Leann Long, Andrea Cherrington, et al.. (2024). Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Circulation Cardiovascular Quality and Outcomes. 17(3). e009867–e009867. 3 indexed citations
5.
Guo, Boyi, et al.. (2023). escheR : unified multi-dimensional visualizations with Gestalt principles. Bioinformatics Advances. 3(1). vbad179–vbad179. 3 indexed citations
6.
Guo, Boyi, D. Leann Long, Suzanne E. Judd, et al.. (2023). D-dimer and the risk of hypertension: The REasons for Geographic And Racial Differences in Stroke Cohort Study. Research and Practice in Thrombosis and Haemostasis. 7(1). 100016–100016. 2 indexed citations
7.
Bhave, Varun, Zsuzsanna Ament, Amit Patki, et al.. (2022). Plasma Metabolites Link Dietary Patterns to Stroke Risk. Annals of Neurology. 93(3). 500–510. 20 indexed citations
8.
9.
Guo, Boyi, Hannah D. Holscher, Loretta Auvil, et al.. (2021). Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests. Statistics in Biosciences. 15(3). 545–561. 5 indexed citations
10.
Long, D. Leann, Boyi Guo, Leslie A. McClure, et al.. (2021). Biomarkers as MEDiators of racial disparities in risk factors (BioMedioR): Rationale, study design, and statistical considerations. Annals of Epidemiology. 66. 13–19. 13 indexed citations
11.
Zhang, Xinyan, Boyi Guo, & Nengjun Yi. (2020). Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data. PLoS ONE. 15(11). e0242073–e0242073. 25 indexed citations
12.
Cummings, Doyle M., Shivajirao P. Patil, D. Leann Long, et al.. (2020). Does the Association Between Hemoglobin A1c and Risk of Cardiovascular Events Vary by Residential Segregation? The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study. Diabetes Care. 44(5). 1151–1158. 11 indexed citations
13.
Guo, Boyi, et al.. (2019). Bayesian hierarchical negative binomial models for multivariable analyses with applications to human microbiome count data. PLoS ONE. 14(8). e0220961–e0220961. 5 indexed citations
14.
Seifert, Michael E., Joseph P. Gaut, Boyi Guo, et al.. (2019). WNT pathway signaling is associated with microvascular injury and predicts kidney transplant failure. American Journal of Transplantation. 19(10). 2833–2845. 6 indexed citations
15.
Tang, Zaixiang, Shu‐Feng Lei, Xinyan Zhang, et al.. (2019). Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information. BMC Bioinformatics. 20(1). 94–94. 12 indexed citations
16.
Zhang, Xinyan, Yu‐Fang Pei, Lei Zhang, et al.. (2018). Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data. Frontiers in Microbiology. 9. 1683–1683. 52 indexed citations
17.
Yi, Nengjun, Zaixiang Tang, Xinyan Zhang, & Boyi Guo. (2018). BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology. Bioinformatics. 35(8). 1419–1421. 31 indexed citations
18.
19.
Bashir, Masooda, et al.. (2015). Cybersecurity Competitions: The Human Angle. IEEE Security & Privacy. 13(5). 74–79. 9 indexed citations
20.
Bashir, Masooda, et al.. (2015). An examination of the vocational and psychological characteristics of cybersecurity competition participants. 11 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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