Peter X.‐K. Song

13.4k total citations · 1 hit paper
199 papers, 5.1k citations indexed

About

Peter X.‐K. Song is a scholar working on Statistics and Probability, Artificial Intelligence and Physiology. According to data from OpenAlex, Peter X.‐K. Song has authored 199 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 22 papers in Physiology. Recurrent topics in Peter X.‐K. Song's work include Statistical Methods and Inference (52 papers), Statistical Methods and Bayesian Inference (51 papers) and Birth, Development, and Health (14 papers). Peter X.‐K. Song is often cited by papers focused on Statistical Methods and Inference (52 papers), Statistical Methods and Bayesian Inference (51 papers) and Birth, Development, and Health (14 papers). Peter X.‐K. Song collaborates with scholars based in United States, Canada and Mexico. Peter X.‐K. Song's co-authors include David W. Bates, Carol Keohane, Eyal Zimlichman, Cyrus K. Yamin, Orly Tamir, Charles R. Denham, Calvin Franz, Daniel Henderson, Ming Tan and Charles N. Kroll and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Peter X.‐K. Song

188 papers receiving 5.0k 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.

Health Care–Associated Infections

2013 1.3k citations Peter X.‐K. Song et al. profile →

Peers

Countries citing papers authored by Peter X.‐K. Song

Since Specialization

Citations

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

Fields of papers citing papers by Peter X.‐K. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter X.‐K. Song. 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 Peter X.‐K. Song. The network helps show where Peter X.‐K. Song may publish in the future.

Co-authorship network of co-authors of Peter X.‐K. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Peter X.‐K. Song. A scholar is included among the top collaborators of Peter X.‐K. Song 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 Peter X.‐K. Song. Peter X.‐K. Song 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

#	Work	Indexed citations
1	Continuous Insulin Therapy to Prevent Post-Transplant Diabetes Mellitus: A Randomized Controlled Trial 2024 ·Kidney Medicine ·Amelie Kurnikowski, Johannes Werzowa, Sebastian Hödlmoser, (unknown), (unknown), (unknown), Andrea Tura, Jürgen Harreiter, Michael Krebs, Peter X.‐K. Song, Kathrin Eller, Julio Pascual, Klemens Budde, Manfred Hecking, Elisabeth Schwaiger	1
2	fastMI: A fast and consistent copula-based nonparametric estimator of mutual information 2023 ·Journal of Multivariate Analysis ·Soumik Purkayastha, Peter X.‐K. Song	1
3	Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis 2023 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·(unknown), Peter X.‐K. Song, Gongjun Xu	4
4	A Benchmark Dose Analysis for Maternal Pregnancy Urine‐Fluoride and IQ in Children 2021 ·Risk Analysis ·Philippe Grandjean, Howard Hu, Christine Till, Rivka Green, Morteza Bashash, David B. Flora, Martha María Téllez‐Rojo, Peter X.‐K. Song, Bruce P. Lanphear, Esben Budtz–Jørgensen	21
5	An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China 2021 ·Journal of Data Science ·Lili Wang, Yiwang Zhou, Jie He, Bin Zhu, Fei Wang, Lu Tang, Michael Kleinsasser, Daniel Barker, Marisa C. Eisenberg, Peter X.‐K. Song	28
6	Gestational exposure to high fat diets and bisphenol A alters metabolic outcomes in dams and offspring, but produces hepatic steatosis only in dams 2021 ·Chemosphere ·Elizabeth Marchlewicz, (unknown), Zora Djurić, Mark J. Hoenerhoff, John Barks, Lu Tang, Peter X.‐K. Song, Karen E. Peterson, Vasantha Padmanabhan, (unknown)	9
7	Prediction of suicidal ideation risk in a prospective cohort study of medical interns 2021 ·PLoS ONE ·(unknown), (unknown), (unknown), Peter X.‐K. Song, Srijan Sen, Laura J. Scott	12
8	A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States 2020 ·SHILAP Revista de lepidopterología ·Yiwang Zhou, Lili Wang, (unknown), (unknown), (unknown), Jie He, (unknown), (unknown), Soumik Purkayastha, Peter X.‐K. Song	30
9	Adaptive Multi-Channel Event Segmentation and Feature Extraction for Monitoring Health Outcomes 2020 ·IEEE Transactions on Biomedical Engineering ·(unknown), (unknown), Ricardo Henao, Christopher W. Woods, Christopher Chiu, Geoffrey S. Ginsburg, Peter X.‐K. Song, Alfred O. Hero	5
10	Discussion of “Tracking reproductivity of COVID-19 epidemic in China with varying coefficient SIR model” 2020 ·Journal of Data Science ·Lili Wang, Fei Wang, Yiwang Zhou, Peter X.‐K. Song	0
11	Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes 2020 ·Journal of Machine Learning Research ·(unknown), Peter X.‐K. Song	2
12	Correlation analysis of metabolic syndrome and its components with thyroid nodules 2019 ·SHILAP Revista de lepidopterología ·Jing Liu, Cheng Wang, Xulei Tang, (unknown), (unknown), (unknown), Wei Sun, Yuping Li, Di Wu, (unknown), Q. L. Niu, (unknown), Peter X.‐K. Song	0
13	Genomic prediction of depression risk and resilience under stress 2019 ·Nature Human Behaviour ·Yu Fang, Laura J. Scott, Peter X.‐K. Song, Margit Burmeister, Srijan Sen	25
14	A Self-Regulation Intervention Can Decrease Asthma Exacerbations Among Older Adults 2018 ·Journal of Allergy and Clinical Immunology ·Alan P. Baptist, (unknown), (unknown), Wei Hao, Peter X.‐K. Song, Joel Steinberg	0
15	The impact of patient autonomy on older adults with asthma 2018 ·Annals of Allergy Asthma & Immunology ·(unknown), Wei Hao, Peter X.‐K. Song, (unknown), Joel Steinberg, Alan P. Baptist	4
16	Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts 2014 ·Journal of Multivariate Analysis ·Peisong Han, Peter X.‐K. Song, Lu Wang	2
17	A reassessment of soluble urokinase-type plasminogen activator receptor in glomerular disease 2014 ·Kidney International ·(unknown), Laura H. Mariani, Shiv Kapoor, Jidong Zhang, Robert J. Weyant, Peter X.‐K. Song, Hetty N. Wong, Jonathan P. Troost, Crystal A. Gadegbeku, Debbie S. Gipson, Matthias Kretzler, Deepak Nihalani, Lawrence B. Holzman	91
18	Sample size determination for quadratic inference functions in longitudinal design with dichotomous outcomes 2012 ·Statistics in Medicine ·Youna Hu, Peter X.‐K. Song	3
19	MAXIMUM LIKELIHOOD INFERENCE IN ROBUST LINEAR MIXED-EFFECTS MODELS USING MULTIVARIATE t DISTRIBUTIONS 2007 ·Statistica Sinica ·Peter X.‐K. Song, (unknown), Annie Qu	32
20	Diagnosis of Stationarity in State Space Models for Longitudinal Data 2006 ·University of Southern Denmark Research Portal (University of Southern Denmark) ·Bent Jørgensen, Peter X.‐K. Song	3

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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