Cong Liu

3.2k total citations
110 papers, 1.5k citations indexed

About

Cong Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Cong Liu has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 30 papers in Pulmonary and Respiratory Medicine and 16 papers in Infectious Diseases. Recurrent topics in Cong Liu's work include Biomedical Text Mining and Ontologies (18 papers), Genomics and Rare Diseases (11 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Cong Liu is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Genomics and Rare Diseases (11 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Cong Liu collaborates with scholars based in China, United States and South Korea. Cong Liu's co-authors include Jeffrey A. Whitsett, Chunhua Weng, Huajing Wan, Stephan W. Glasser, Hui Lü, Haidong Kan, Casey Ta, Yue Niu, Renjie Chen and Jean C. Clark and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Science of The Total Environment.

In The Last Decade

Cong Liu

105 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Cong Liu	659	414	196	171	165	110	1.5k
Blanca E. Himes	784 1.2×	720 1.7×	268 1.4×	138 0.8×	161 1.0×	93	2.6k
Lina Zhang	535 0.8×	126 0.3×	142 0.7×	129 0.8×	74 0.4×	131	1.8k
Rachel Pinotti	386 0.6×	171 0.4×	182 0.9×	80 0.5×	293 1.8×	24	2.4k
Nan Zhong	859 1.3×	880 2.1×	129 0.7×	76 0.4×	221 1.3×	96	3.1k
Yongyue Wei	808 1.2×	572 1.4×	154 0.8×	470 2.7×	187 1.1×	182	2.7k
Rui Zheng	1.1k 1.6×	280 0.7×	78 0.4×	167 1.0×	50 0.3×	131	2.7k
Anand Srivastava	852 1.3×	345 0.8×	148 0.8×	155 0.9×	48 0.3×	94	2.5k
Frank Schembri	970 1.5×	530 1.3×	65 0.3×	556 3.3×	117 0.7×	20	1.8k
Michael J. McGeachie	662 1.0×	400 1.0×	132 0.7×	167 1.0×	46 0.3×	74	1.6k

Countries citing papers authored by Cong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Cong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Liu. A scholar is included among the top collaborators of Cong 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 Cong Liu. Cong Liu 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

Liu, Cong, et al.. (2024). Fine-tuning large language models for rare disease concept normalization. Journal of the American Medical Informatics Association. 31(9). 2076–2083. 17 indexed citations

Liu, Cong, Yufeng Wang, Peng Wang, et al.. (2024). Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis. Oncology Letters. 27(3). 122–122. 4 indexed citations

Liu, Cong, et al.. (2024). Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation. Journal of Biomedical Informatics. 155. 104659–104659.

Ahimaz, Priyanka, Nga Nguyen, Rachel Lewis, et al.. (2024). Phenotype driven molecular genetic test recommendation for diagnosing pediatric rare disorders. npj Digital Medicine. 7(1). 333–333. 2 indexed citations

Liu, Cong, et al.. (2023). The correlation between medial pattern of intracranial arterial calcification and white matter hyperintensities. Atherosclerosis. 381. 117247–117247. 3 indexed citations

Song, Qing, Cong Liu, Wei Cheng, et al.. (2023). Clinical characteristics and risk of all-cause mortality in low education patients with chronic obstructive pulmonary disease in the Chinese population. Journal of Global Health. 13. 4163–4163. 8 indexed citations

Yang, Jingye, et al.. (2023). Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT. Patterns. 5(1). 100887–100887. 28 indexed citations

Rcheulishvili, Nino, Dimitri Papukashvili, Cong Liu, et al.. (2023). Development of a Multi-Epitope Universal mRNA Vaccine Candidate for Monkeypox, Smallpox, and Vaccinia Viruses: Design and In Silico Analyses. Viruses. 15(5). 1120–1120. 20 indexed citations

Kim, Jae Hyun, May Hua, Robert A. Whittington, et al.. (2022). A machine learning approach to identifying delirium from electronic health records. JAMIA Open. 5(2). ooac042–ooac042. 6 indexed citations

10.

Liu, Cong & Chen-Wu Wu. (2022). Invariant in variants. 中国科学院力学研究所. 1 indexed citations

11.

Liu, Cong, Casey Ta, Ali Soroush, et al.. (2022). Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis. JMIR Public Health and Surveillance. 8(5). e35311–e35311. 20 indexed citations

12.

Liu, Cong, Jae Hyun Kim, Ning Shang, et al.. (2021). Comparative effectiveness of medical concept embedding for feature engineering in phenotyping. JAMIA Open. 4(2). ooab028–ooab028. 10 indexed citations

13.

Kim, Jae Hyun, Cong Liu, George Hripcsak, et al.. (2021). Columbia Open Health Data for COVID-19 Research: Database Analysis. Journal of Medical Internet Research. 23(9). e31122–e31122. 3 indexed citations

14.

Wang, Xujun, Zhengtao Zhang, Wenyi Qin, et al.. (2021). RePhine: An Integrative Method for Identification of Drug Response-Related Transcriptional Regulators. Genomics Proteomics & Bioinformatics. 19(4). 534–548. 3 indexed citations

15.

Li, Ziyao, et al.. (2021). Association between VEGF single nucleotide polymorphism and breast cancer in the Northern China Han population. Breast Cancer Research and Treatment. 186(1). 149–156. 10 indexed citations

16.

Havrilla, James M., et al.. (2021). PhenCards: a data resource linking human phenotype information to biomedical knowledge. Genome Medicine. 13(1). 91–91. 4 indexed citations

17.

Havrilla, James M., Fang Li, Ying Chen, et al.. (2020). Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases. NAR Genomics and Bioinformatics. 2(2). lqaa032–lqaa032. 44 indexed citations

18.

Morrison, Gladys, Cong Liu, Claudia Wing, et al.. (2015). Evaluation of inter-batch differences in stem-cell derived neurons. Stem Cell Research. 16(1). 140–148. 10 indexed citations

19.

Peng, Guoping, Kai Yang, Huiping Chen, et al.. (2015). [Recent HIV infection among men who have sex with men in Hubei, 2010-2013].. PubMed. 36(2). 162–6. 2 indexed citations

20.

Liu, Cong. (2011). Baseline investigation on three kinds of high risk population in Wuhan,China-Bill & Melinda Gates Foundation AIDS program. 1 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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