Jing Cao

1.6k total citations
52 papers, 979 citations indexed

About

Jing Cao is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Jing Cao has authored 52 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 16 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Jing Cao's work include Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and Metabolism and Genetic Disorders (5 papers). Jing Cao is often cited by papers focused on Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and Metabolism and Genetic Disorders (5 papers). Jing Cao collaborates with scholars based in United States, China and Denmark. Jing Cao's co-authors include Michael Y. Tsai, Naomi Q. Hanson, Kerry Schwichtenberg, Weihua Guan, Brian T. Steffen, Joseph P. McConnell, Wendy S. Post, Russell Warnick, Sridevi Devaraj and James H. Stein and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Nanotechnology.

In The Last Decade

Jing Cao

46 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Cao United States 14 344 228 201 184 182 52 979
Tomás P. Griffin Ireland 17 214 0.6× 81 0.4× 168 0.8× 213 1.2× 81 0.4× 52 853
Wenxiong Zhang China 19 255 0.7× 74 0.3× 186 0.9× 97 0.5× 42 0.2× 122 1.1k
John‐Bjarne Hansen Norway 19 173 0.5× 152 0.7× 135 0.7× 194 1.1× 220 1.2× 41 939
Susan Kelly United States 19 547 1.6× 111 0.5× 159 0.8× 165 0.9× 124 0.7× 35 1.4k
Katharina Lechner Germany 19 140 0.4× 131 0.6× 295 1.5× 180 1.0× 164 0.9× 73 1.2k
Mathias Haarhaus Sweden 20 172 0.5× 130 0.6× 233 1.2× 227 1.2× 42 0.2× 54 1.2k
Carmelo Libetta Italy 22 353 1.0× 103 0.5× 253 1.3× 49 0.3× 58 0.3× 70 1.4k
Márcio H. Miname Brazil 22 751 2.2× 138 0.6× 168 0.8× 342 1.9× 341 1.9× 61 1.6k
Pisut Katavetin Thailand 17 138 0.4× 60 0.3× 213 1.1× 78 0.4× 55 0.3× 64 1.0k

Countries citing papers authored by Jing Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cao. A scholar is included among the top collaborators of Jing Cao 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 Jing Cao. Jing Cao 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.
Cao, Jing, et al.. (2024). Newborn Screening: Current Practice and Our Journey over the Last 60 Years. The Journal of Applied Laboratory Medicine. 9(4). 820–832. 3 indexed citations
2.
Nomura, Sarah, Harpreet Bhatia, Parveen K. Garg, et al.. (2024). Lipoprotein(a), high-sensitivity c-reactive protein, homocysteine and cardiovascular disease in the Multi-Ethnic Study of Atherosclerosis. SHILAP Revista de lepidopterología. 21. 100903–100903. 2 indexed citations
3.
Cao, Jing, Leslie J. Donato, Joe M El-Khoury, et al.. (2024). ADLM Guidance Document on the Measurement and Reporting of Lipids and Lipoproteins. The Journal of Applied Laboratory Medicine. 9(5). 1040–1056. 3 indexed citations
4.
Zheng, Ruifang, et al.. (2023). Clinical Features and Risk Stratification of Multiple Myeloma Patients with COVID-19. Cancers. 15(14). 3598–3598. 3 indexed citations
5.
6.
Nomura, Sarah, Amy B. Karger, Parveen K. Garg, et al.. (2022). Small dense low-density lipoprotein cholesterol compared to other lipoprotein biomarkers for predicting coronary heart disease among individuals with normal fasting glucose: The Multi-Ethnic Study of Atherosclerosis. SHILAP Revista de lepidopterología. 13. 100436–100436. 11 indexed citations
7.
Cao, Jing, Alan T. Remaley, Weihua Guan, Sridevi Devaraj, & Michael Y. Tsai. (2021). Performance of novel low-density lipoprotein-cholesterol calculation methods in predicting clinical and subclinical atherosclerotic cardiovascular disease risk: The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 327. 1–4. 9 indexed citations
8.
9.
Ning, Bo, Zhen Huang, Brady M. Youngquist, et al.. (2021). Liposome-mediated detection of SARS-CoV-2 RNA-positive extracellular vesicles in plasma. Nature Nanotechnology. 16(9). 1039–1044. 134 indexed citations
10.
Yuan, Bo, Yun Wang, Mingyang Li, et al.. (2020). Clinicopathological and prognostic significance of PD-L1 expression in colorectal cancer: a meta-analysis. International Journal of Colorectal Disease. 36(1). 117–130. 23 indexed citations
11.
Cao, Jing & Sridevi Devaraj. (2019). Recent AHA/ACC guidelines on cholesterol management expands the role of the clinical laboratory. Clinica Chimica Acta. 495. 82–84. 8 indexed citations
12.
13.
Cao, Jing & Amy B. Karger. (2018). Critically Elevated Potassium in a 55-Year-Old Female With Chronic Lymphocytic Leukemia. Laboratory Medicine. 49(3). 280–283. 3 indexed citations
14.
Cao, Jing, et al.. (2017). Validation of an Automated Assay for Levetiracetam (Keppra) on Vitros 5600. The Journal of Applied Laboratory Medicine. 1(5). 494–501. 3 indexed citations
15.
Cao, Jing, Brian T. Steffen, Weihua Guan, et al.. (2017). A comparison of three apolipoprotein B methods and their associations with incident coronary heart disease risk over a 12-year follow-up period: The Multi-Ethnic Study of Atherosclerosis. Journal of clinical lipidology. 12(2). 300–304. 17 indexed citations
16.
Cao, Jing, et al.. (2016). Establishing a Stand-Alone Laboratory Dedicated to the Care of Patients With Ebola Virus Disease. Laboratory Medicine. 48(2). 188–194. 2 indexed citations
17.
Tsai, Michael Y., Jing Cao, Brian T. Steffen, et al.. (2016). 5‐Lipoxygenase Gene Variants Are Not Associated With Atherosclerosis or Incident Coronary Heart Disease in the Multi‐Ethnic Study of Atherosclerosis Cohort. Journal of the American Heart Association. 5(3). e002814–e002814. 7 indexed citations
18.
Selvaratnam, Rajeevan, Jing Cao, Danni Li, & Amy B. Karger. (2015). 88: Reassessment of Anion Gap Reference Range Following Implementation of New Chemistry Analyzers: The Fairview Experience. American Journal of Clinical Pathology. 143(suppl_1). A051–A051. 1 indexed citations
19.
Tsai, Michael Y., Catherine M. Loria, Jing Cao, et al.. (2009). Polygenic association with total homocysteine in the post-folic acid fortification era: The CARDIA study. Molecular Genetics and Metabolism. 98(1-2). 181–186. 14 indexed citations
20.
Tsai, Michael Y., Catherine M. Loria, Jing Cao, et al.. (2008). Clinical Utility of Genotyping the 677C>T Variant of Methylenetetrahydrofolate Reductase in Humans Is Decreased in the Post-Folic Acid Fortification Era. Journal of Nutrition. 139(1). 33–37. 15 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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