Zsu‐Zsu Chen

1.5k total citations
21 papers, 722 citations indexed

About

Zsu‐Zsu Chen is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Zsu‐Zsu Chen has authored 21 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Zsu‐Zsu Chen's work include Metabolomics and Mass Spectrometry Studies (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Diet and metabolism studies (4 papers). Zsu‐Zsu Chen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Diet and metabolism studies (4 papers). Zsu‐Zsu Chen collaborates with scholars based in United States, United Kingdom and Israel. Zsu‐Zsu Chen's co-authors include Robert E. Gerszten, Lizhen Wang, Chengsong Xie, Xinglong Gu, Hoon Shim, Jung-Hwa Tao-Cheng, Zhihua Liu, Loukia Parisiadou, Xian Lin and Lixin Sun and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Neuron.

In The Last Decade

Zsu‐Zsu Chen

19 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsu‐Zsu Chen United States 8 363 279 225 182 121 21 722
Hisatomo Kowa Japan 16 308 0.8× 275 1.0× 353 1.6× 189 1.0× 140 1.2× 69 895
M.M. Qureshi United Arab Emirates 13 346 1.0× 227 0.8× 206 0.9× 117 0.6× 98 0.8× 27 794
Jaegwon Chung United States 13 262 0.7× 205 0.7× 153 0.7× 144 0.8× 274 2.3× 17 709
Maohong Cao China 14 164 0.5× 326 1.2× 126 0.6× 117 0.6× 77 0.6× 49 631
Mingxia Bi China 16 152 0.4× 305 1.1× 109 0.5× 112 0.6× 72 0.6× 34 652
Sangwoo Ham South Korea 11 145 0.4× 317 1.1× 130 0.6× 90 0.5× 43 0.4× 17 561
Jing Zou China 9 148 0.4× 171 0.6× 72 0.3× 101 0.6× 82 0.7× 11 485
Kimberly M. Carrico United States 9 322 0.9× 289 1.0× 70 0.3× 68 0.4× 63 0.5× 9 627
Malini Narayanan United States 10 147 0.4× 288 1.0× 66 0.3× 139 0.8× 93 0.8× 15 613
Erica Barini United Kingdom 10 179 0.5× 400 1.4× 253 1.1× 90 0.5× 72 0.6× 11 745

Countries citing papers authored by Zsu‐Zsu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zsu‐Zsu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zsu‐Zsu Chen. 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 Zsu‐Zsu Chen. The network helps show where Zsu‐Zsu Chen may publish in the future.

Co-authorship network of co-authors of Zsu‐Zsu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zsu‐Zsu Chen. A scholar is included among the top collaborators of Zsu‐Zsu Chen 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 Zsu‐Zsu Chen. Zsu‐Zsu Chen 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.
Tahir, Usman A., Daniel E. Cruz, Dongxiao Shen, et al.. (2025). SECTM1 Regulates Monocyte Levels and Is Associated With Incident Coronary Heart Disease. JACC Basic to Translational Science. 10(10). 101378–101378.
2.
Pita-Juárez, Yered, Aaron Hakim, Susmita Bhattarai, et al.. (2025). VLDL lipidomics reveals hepatocellular lipidome changes in metabolic dysfunction–associated steatotic liver disease. Hepatology Communications. 9(6). 1 indexed citations
3.
Chen, Zsu‐Zsu, Chang Lu, Jonathan M. Dreyfuss, et al.. (2024). Circulating Metabolite Biomarkers of Glycemic Control in Youth-Onset Type 2 Diabetes. Diabetes Care. 47(9). 1597–1607. 1 indexed citations
4.
5.
Chen, Zsu‐Zsu, et al.. (2023). Massive Thymic Hyperplasia Masquerading as Cancer: A Case Report and Review of the Literature. JTO Clinical and Research Reports. 4(2). 100463–100463. 1 indexed citations
6.
Rutkove, Seward B., et al.. (2023). Surface Electrical Impedance Myography Detects Skeletal Muscle Atrophy in Aged Wildtype Zebrafish and Aged gpr27 Knockout Zebrafish. Biomedicines. 11(7). 1938–1938. 7 indexed citations
7.
Chen, Zsu‐Zsu, Yan Gao, Michelle J. Keyes, et al.. (2023). Protein Markers of Diabetes Discovered in an African American Cohort. Diabetes. 72(4). 532–543. 10 indexed citations
8.
Tanzo, Julia T., Amanda L. Wiggenhorn, María Dolores Moya-Garzón, et al.. (2023). CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. Journal of Biological Chemistry. 299(6). 104764–104764. 3 indexed citations
9.
Mi, Michael, Mark Whitlock, Xu Shi, et al.. (2023). Mixed meal tolerance testing highlights in diabetes altered branched-chain ketoacid metabolism and pathways associated with all-cause mortality. American Journal of Clinical Nutrition. 117(3). 529–539. 2 indexed citations
10.
Pan, Xiong‐Fei, Zsu‐Zsu Chen, Thomas J. Wang, et al.. (2022). Plasma metabolomic signatures of obesity and risk of type 2 diabetes. Obesity. 30(11). 2294–2306. 8 indexed citations
11.
Katz, Daniel H., Jeremy Robbins, Shuliang Deng, et al.. (2022). Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods. Science Advances. 8(33). eabm5164–eabm5164. 94 indexed citations
12.
Chen, Zsu‐Zsu, et al.. (2022). Predictors of Mortality in Hypercalcemia of Advanced Chronic Liver Disease. Endocrine Practice. 28(10). 1062–1068. 2 indexed citations
13.
Liu, Jing, et al.. (2022). Understanding Myocardial Metabolism in the Context of Cardio-Oncology. Heart Failure Clinics. 18(3). 415–424.
14.
Migdal, Alexandra L., Zsu‐Zsu Chen, Anjali K. Nath, et al.. (2021). Weight Loss Outcomes Among Early High Responders to Exenatide Treatment: A Randomized, Placebo Controlled Study in Overweight and Obese Women. Frontiers in Endocrinology. 12. 742873–742873. 18 indexed citations
15.
Goldberg, Ronald, Mark Tripputi, Edward J. Boyko, et al.. (2021). Hepatic Fat in Participants With and Without Incident Diabetes in the Diabetes Prevention Program Outcome Study. The Journal of Clinical Endocrinology & Metabolism. 106(11). e4746–e4765. 4 indexed citations
16.
Cruz, Daniel E., Usman A. Tahir, Jie Hu, et al.. (2021). Metabolomic Analysis of Coronary Heart Disease in an African American Cohort From the Jackson Heart Study. JAMA Cardiology. 7(2). 184–184. 28 indexed citations
17.
Chen, Zsu‐Zsu & Robert E. Gerszten. (2020). Metabolomics and Proteomics in Type 2 Diabetes. Circulation Research. 126(11). 1613–1627. 111 indexed citations
18.
Chen, Zsu‐Zsu, Jinxi Liu, Jordan Morningstar, et al.. (2019). 1507-P: Baseline Metabolite Profiles of Incident Type 2 Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Program (DPP). Diabetes. 68(Supplement_1). 1 indexed citations
19.
Nath, Anjali K., Junyan Ma, Zsu‐Zsu Chen, et al.. (2019). Genetic deletion of gpr27 alters acylcarnitine metabolism, insulin sensitivity, and glucose homeostasis in zebrafish. The FASEB Journal. 34(1). 1546–1557. 15 indexed citations
20.
Lin, Xian, Loukia Parisiadou, Xinglong Gu, et al.. (2009). Leucine-Rich Repeat Kinase 2 Regulates the Progression of Neuropathology Induced by Parkinson's-Disease-Related Mutant α-synuclein. Neuron. 64(6). 807–827. 407 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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