Dandan Liu

821 total citations
38 papers, 507 citations indexed

About

Dandan Liu is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Emergency Medicine. According to data from OpenAlex, Dandan Liu has authored 38 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Emergency Medicine. Recurrent topics in Dandan Liu's work include Statistical Methods and Inference (7 papers), Heart Failure Treatment and Management (6 papers) and Emergency and Acute Care Studies (5 papers). Dandan Liu is often cited by papers focused on Statistical Methods and Inference (7 papers), Heart Failure Treatment and Management (6 papers) and Emergency and Acute Care Studies (5 papers). Dandan Liu collaborates with scholars based in United States, China and Canada. Dandan Liu's co-authors include Jianguo Sun, Liuquan Sun, Alan B. Storrow, John D. Kalbfleisch, Christopher J. Lindsell, Rui Li, Zijun Wang, Douglas E. Schaubel, Wesley H. Self and Sean P. Collins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Brain Research.

In The Last Decade

Dandan Liu

30 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dandan Liu United States 11 112 98 93 84 57 38 507
Mugdha Gokhale United States 14 52 0.5× 56 0.6× 79 0.8× 40 0.5× 15 0.3× 31 603
Moniek M. Vedder Netherlands 6 153 1.4× 112 1.1× 28 0.3× 47 0.6× 31 0.5× 6 587
Kurt K. Lohman United States 11 459 4.1× 307 3.1× 130 1.4× 42 0.5× 17 0.3× 15 1.0k
Romin Pajouheshnia Netherlands 12 148 1.3× 83 0.8× 69 0.7× 48 0.6× 25 0.4× 21 573
Elliot G. Arsoniadis United States 12 36 0.3× 65 0.7× 16 0.2× 56 0.7× 14 0.2× 27 358
Bain United Kingdom 4 22 0.2× 29 0.3× 44 0.5× 57 0.7× 8 0.1× 5 423
Michael J. Grayling United Kingdom 11 85 0.8× 54 0.6× 217 2.3× 62 0.7× 43 0.8× 58 738
Michael Metz Australia 14 21 0.2× 46 0.5× 29 0.3× 59 0.7× 8 0.1× 38 500
Damian McEntegart United Kingdom 9 87 0.8× 48 0.5× 176 1.9× 39 0.5× 11 0.2× 20 463
Max Plischke Austria 9 101 0.9× 58 0.6× 13 0.1× 38 0.5× 14 0.2× 17 579

Countries citing papers authored by Dandan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Liu. A scholar is included among the top collaborators of Dandan Liu 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 Dandan Liu. Dandan Liu 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.
Gong, Ye, et al.. (2025). M1 macrophage membrane-coated nickel-arsenic nanocomplex promoting synergistic treatment of hepatocellular carcinoma. Journal of Pharmaceutical Sciences. 114(2). 1280–1295.
2.
Wang, Jianli, Hao Bao, Dandan Liu, et al.. (2025). Exploring the location patterns and clinical characteristics of isolated simple renal cysts: insights from a multicenter retrospective study. World Journal of Urology. 43(1). 105–105.
3.
Stolldorf, Deonni P., Alan B. Storrow, Dandan Liu, et al.. (2025). A mixed-methods observational study of strategies for success in implementation science: overcoming emergency departments hurdles. BMC Health Services Research. 25(1). 147–147.
4.
5.
Jia, Shiwei, et al.. (2024). Tracing conflict-induced cognitive-control adjustments over time using aperiodic EEG activity. Cerebral Cortex. 34(5). 15 indexed citations
6.
7.
Tanrıverdi, Kahraman, Antonina Risitano, Dandan Liu, et al.. (2024). Discovery plasma proteomics analyses identify proteins that interact with plasma ptau231 levels to predict longitudinal episodic memory trajectory over a 9‐year follow‐up period. Alzheimer s & Dementia. 20(S2). 1 indexed citations
8.
Lindsell, Christopher J., et al.. (2024). Trends in use of composite endpoints in clinical trials: A comparison between acute heart failure trials and COVID-19 trials. Journal of Clinical and Translational Science. 8(1). e55–e55. 1 indexed citations
9.
Sun, Tianyi, Allison B. McCoy, Alan B. Storrow, & Dandan Liu. (2024). Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach. Statistics in Medicine. 43(26). 4984–4999.
10.
Cao, Liping, Dandan Liu, Ville Karhunen, et al.. (2023). Circulating macrophage colony-stimulating factor levels and stroke: A Mendelian randomization study. Journal of Stroke and Cerebrovascular Diseases. 32(4). 107050–107050. 1 indexed citations
11.
Liu, Dandan, Kimberly R. Pechman, James G. Terry, et al.. (2022). Enlarged perivascular space burden associations with arterial stiffness and cognition. Neurobiology of Aging. 124. 85–97. 21 indexed citations
12.
Sax, Dana R., Jamal S. Rana, Dustin G. Mark, et al.. (2021). Outcomes Among Acute Heart Failure Emergency Department Patients by Preserved vs. Reduced Ejection Fraction. ESC Heart Failure. 8(4). 2889–2898. 8 indexed citations
13.
Yiadom, Maame Yaa A. B., Cathy A. Jenkins, Karen F. Miller, et al.. (2021). Understanding timely STEMI treatment performance: A 3‐year retrospective cohort study using diagnosis‐to‐balloon‐time and care subintervals. SHILAP Revista de lepidopterología. 2(1). e12379–e12379. 6 indexed citations
14.
Shinall, Myrick C., Mohana Karlekar, Sara Martin, et al.. (2019). COMPASS: A Pilot Trial of an Early Palliative Care Intervention for Patients With End-Stage Liver Disease. Journal of Pain and Symptom Management. 58(4). 614–622.e3. 44 indexed citations
15.
Liu, Dandan, et al.. (2016). CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population. Oncotarget. 7(50). 82046–82054. 17 indexed citations
16.
Liu, Dandan, John D. Kalbfleisch, & Douglas E. Schaubel. (2012). Methods for Estimating Center Effects on Recurrent Events. Statistics in Biosciences. 6(1). 19–37. 4 indexed citations
17.
Liu, Dandan, Tianxi Cai, & Yingye Zheng. (2012). Evaluating the Predictive Value of Biomarkers with Stratified Case‐Cohort Design. Biometrics. 68(4). 1219–1227. 17 indexed citations
18.
Brody, Baruch A., et al.. (2012). Are Surgical Trials with Negative Results Being Interpreted Correctly?. Journal of the American College of Surgeons. 216(1). 158–166. 8 indexed citations
19.
Liang, Jianying, et al.. (2010). The 2008 revision of the World Health Organization (WHO) classification of MDS.. 30(5). 416–421. 10 indexed citations
20.
Liu, Dandan, John D. Kalbfleisch, & Douglas E. Schaubel. (2010). A Positive Stable Frailty Model for Clustered Failure Time Data with Covariate-Dependent Frailty. Biometrics. 67(1). 8–17. 9 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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