Lihui Zhao

7.9k total citations · 3 hit papers
159 papers, 4.9k citations indexed

About

Lihui Zhao is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Lihui Zhao has authored 159 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 28 papers in Cardiology and Cardiovascular Medicine and 26 papers in Oncology. Recurrent topics in Lihui Zhao's work include Peripheral Artery Disease Management (44 papers), Lymphatic System and Diseases (23 papers) and Diagnosis and Treatment of Venous Diseases (18 papers). Lihui Zhao is often cited by papers focused on Peripheral Artery Disease Management (44 papers), Lymphatic System and Diseases (23 papers) and Diagnosis and Treatment of Venous Diseases (18 papers). Lihui Zhao collaborates with scholars based in United States, China and Canada. Lihui Zhao's co-authors include Lü Tian, Donald M. Lloyd‐Jones, L. J. Wei, Michael H. Criqui, Mary Mcdermott, Brian Claggett, Donald W. Schaffner, Melina R. Kibbe, Kiang Liu and John T. Wilkins and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Lihui Zhao

148 papers receiving 4.8k citations

Hit Papers

Moving Beyond the Hazard Ratio in Quantifying the Between... 2014 2026 2018 2022 2014 2019 2020 100 200 300 400

Peers

Lihui Zhao
Ian Douglas United Kingdom
Liang Li United States
Zhen Chen United States
A. Lawrence Gould United States
Sholom Wacholder United States
Weichung Joe Shih United States
Ian Douglas United Kingdom
Lihui Zhao
Citations per year, relative to Lihui Zhao Lihui Zhao (= 1×) peers Ian Douglas

Countries citing papers authored by Lihui Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lihui Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihui Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lihui Zhao. A scholar is included among the top collaborators of Lihui Zhao 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 Lihui Zhao. Lihui Zhao 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.
Lantz, Connor, Lihui Zhao, Rohita Sinha, et al.. (2025). Using Torque Teno Virus as a Serial Monitoring Tool for the Net State of Immunosuppression of Kidney Transplant Recipients. Clinical Transplantation. 39(9). e70321–e70321.
2.
Vitello, Dominic, Aditya Jain, Andrés Duarte‐Rojo, et al.. (2025). Comparing the cost of cirrhosis to other common chronic diseases: A longitudinal study in a large national insurance database. Hepatology. 82(2). 405–421.
3.
Huang, Alexander A., Mohsen Mohammadi, Kiarri N. Kershaw, et al.. (2024). Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting. American Journal of Transplantation. 24(5). 803–817. 2 indexed citations
4.
Danziger‐Isakov, Lara, Anne Rose, Daniel Kaul, et al.. (2024). Presentation, management, and outcomes of norovirus in adult and pediatric solid organ and hematopoietic stem cell transplant recipients: A multicenter, retrospective study. Transplant Infectious Disease. 26(3). e14270–e14270.
5.
Teng, Miaomiao, Wentao Zhu, Xiaoli Zhao, et al.. (2024). MicroRNA and Gut Microbiota Alter Intergenerational Effects of Paternal Exposure to Polyethylene Nanoplastics. ACS Nano. 18(27). 18085–18100. 11 indexed citations
6.
Mohammadi, Mohsen, Salva Balbale, Al’ona Furmanchuk, et al.. (2024). High Hospitalization Rates and Risk Factors Among Frail Patients With Cirrhosis: A 10-year Population-based Cohort Study. Clinical Gastroenterology and Hepatology. 23(7). 1152–1163.
7.
Zhang, Dongxue, Lü Tian, Lihui Zhao, et al.. (2023). Home-Based Walking Exercise and Supervised Treadmill Exercise in Patients With Peripheral Artery Disease. JAMA Network Open. 6(9). e2334590–e2334590. 13 indexed citations
8.
Guo, Kexin, Raymond L. Heilman, Emilio D. Poggio, et al.. (2021). Combining Blood Gene Expression and Cellfree DNA to Diagnose Subclinical Rejection in Kidney Transplant Recipients. Clinical Journal of the American Society of Nephrology. 16(10). 1539–1551. 48 indexed citations
9.
Lin, Mingquan, Song Wang, Ying Ding, et al.. (2021). An empirical study of using radiology reports and images to improve ICU-mortality prediction. PubMed. 2021. 497–498. 9 indexed citations
10.
Liu, Lei, et al.. (2020). Precision medicine: Subgroup identification in longitudinal trajectories. Statistical Methods in Medical Research. 29(9). 2603–2616. 12 indexed citations
11.
Zhao, Lihui, Tom Chen, Vladimir Novitsky, & Rui Wang. (2020). Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts. Biometrics. 77(3). 1061–1074. 7 indexed citations
12.
Zhang, Zheng, Longhui Qiu, Shixian Yan, et al.. (2019). A clinically relevant murine model unmasks a “two-hit” mechanism for reactivation and dissemination of cytomegalovirus after kidney transplant. American Journal of Transplantation. 19(9). 2421–2433. 22 indexed citations
13.
Carroll, Allison J., Mark D. Huffman, Lihui Zhao, et al.. (2019). Evaluating Longitudinal Associations Between Depressive Symptoms, Smoking, and Biomarkers of Cardiovascular Disease in the CARDIA Study. Psychosomatic Medicine. 81(4). 372–379. 9 indexed citations
14.
15.
Li, Zhigang, H. Robert Frost, Tor D. Tosteson, et al.. (2017). A semiparametric joint model for terminal trend of quality of life and survival in palliative care research. Statistics in Medicine. 36(29). 4692–4704. 10 indexed citations
16.
Zhao, Lihui, et al.. (2017). The effect of written expression on perceived stress, anxiety and depression in patients with gynecologic malignant tumor during the stage of chemotherapy. ˜The œJournal of practical nursing. 33(32). 2493–2496. 2 indexed citations
17.
Guo, Yanjie, Xuefei Yang, Lihui Zhao, et al.. (2016). Association between Polycystic Ovary Syndrome and Gut Microbiota. PLoS ONE. 11(4). e0153196–e0153196. 254 indexed citations
18.
Zhao, Lihui, Brian Claggett, Lü Tian, et al.. (2015). On the Restricted Mean Survival Time Curve in Survival Analysis. Biometrics. 72(1). 215–221. 170 indexed citations
19.
Uno, Hajime, Brian Claggett, Lü Tian, et al.. (2014). Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysis. Journal of Clinical Oncology. 32(22). 2380–2385. 421 indexed citations breakdown →
20.
Domanchuk, Kathryn, Luigi Ferrucci, Jack M. Guralnik, et al.. (2013). Progenitor cell release plus exercise to improve functional performance in peripheral artery disease: The PROPEL Study. Contemporary Clinical Trials. 36(2). 502–509. 18 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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