Sisi Ma

644 total citations
23 papers, 449 citations indexed

About

Sisi Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Sisi Ma has authored 23 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Sisi Ma's work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (5 papers) and MicroRNA in disease regulation (3 papers). Sisi Ma is often cited by papers focused on Diabetes Management and Research (6 papers), Diabetes and associated disorders (5 papers) and MicroRNA in disease regulation (3 papers). Sisi Ma collaborates with scholars based in United States, China and Australia. Sisi Ma's co-authors include Juan Shi, Yehua Ge, Yanxin Liu, Dexian Zheng, Min Liu, Hui Guo, Lianmei Zhao, Lisa S. Chow, Pamela J. Schreiner and Rachel Zmora and has published in prestigious journals such as Diabetes, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Sisi Ma

22 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sisi Ma United States 12 216 146 116 54 45 23 449
Anand Rajan United States 14 228 1.1× 125 0.9× 71 0.6× 52 1.0× 18 0.4× 49 548
Qingyan Huang China 12 137 0.6× 109 0.7× 36 0.3× 27 0.5× 12 0.3× 35 375
Agata Maciejak Poland 11 263 1.2× 138 0.9× 95 0.8× 17 0.3× 30 0.7× 18 478
Ze Hong China 12 214 1.0× 174 1.2× 46 0.4× 23 0.4× 38 0.8× 20 390
Andriy O. Samokhin United States 10 204 0.9× 110 0.8× 112 1.0× 15 0.3× 39 0.9× 13 430
Eleni Kalogera Greece 11 219 1.0× 134 0.9× 84 0.7× 60 1.1× 8 0.2× 19 495
Timo Itzel Germany 13 232 1.1× 110 0.8× 74 0.6× 76 1.4× 7 0.2× 29 603
Chanabasayya Vastrad India 14 221 1.0× 90 0.6× 65 0.6× 24 0.4× 7 0.2× 34 452
Xeni Provatopoulou Greece 12 226 1.0× 140 1.0× 97 0.8× 61 1.1× 8 0.2× 22 594
Sandhya Sundaram India 12 196 0.9× 137 0.9× 27 0.2× 20 0.4× 19 0.4× 79 516

Countries citing papers authored by Sisi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sisi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Sisi Ma. A scholar is included among the top collaborators of Sisi Ma 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 Sisi Ma. Sisi Ma 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.
Ma, Sisi, Monica J. Hubal, Matthew Morris, et al.. (2025). Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change. PubMed. 2(2). ugaf010–ugaf010. 1 indexed citations
2.
Francis, Sunday M., Eric Rawls, Christine A. Conelea, et al.. (2025). Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilities. Psychological Medicine. 55. e89–e89.
3.
Ma, Sisi, et al.. (2023). Development and Validation of an Electronic Health Record–Based Risk Assessment Tool for Hypoglycemia in Patients With Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology. 19(1). 105–113. 2 indexed citations
4.
Ma, Sisi, et al.. (2022). Reward versus motoric activations in nucleus accumbens core of rats during Pavlovian conditioning. European Journal of Neuroscience. 56(1). 3570–3590. 3 indexed citations
5.
Erdman, Arthur G., et al.. (2022). Neural Networks With Gated Recurrent Units Reduce Glucose Forecasting Error Due to Changes in Sensor Location. Journal of Diabetes Science and Technology. 18(1). 124–134. 3 indexed citations
6.
Erdman, Arthur G., et al.. (2021). Examining Sensor Agreement in Neural Network Blood Glucose Prediction. Journal of Diabetes Science and Technology. 16(6). 1473–1482. 5 indexed citations
7.
Guo, Mengmeng, Sisi Ma, Yitong Xu, et al.. (2021). Correction of Familial LCAT Deficiency by AAV-hLCAT Prevents Renal Injury and Atherosclerosis in Hamsters—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 41(7). 2141–2148. 5 indexed citations
8.
Yang, C. Y., Wenhong Tian, Sisi Ma, et al.. (2020). AAV-Mediated ApoC2 Gene Therapy: Reversal of Severe Hypertriglyceridemia and Rescue of Neonatal Death in ApoC2-Deficient Hamsters. Molecular Therapy — Methods & Clinical Development. 18. 692–701. 11 indexed citations
9.
Gao, Mingming, C. Y. Yang, Xiaowei Wang, et al.. (2020). ApoC2 deficiency elicits severe hypertriglyceridemia and spontaneous atherosclerosis: A rodent model rescued from neonatal death. Metabolism. 109. 154296–154296. 24 indexed citations
10.
11.
Ma, Sisi, Pamela J. Schreiner, Rachel Zmora, Elizabeth R. Seaquist, & Lisa S. Chow. (2018). Machine Learning Identification of Multiple Predictively Equivalent Risk Models for Severe Hypoglycemia in Patients with Type 2 Diabetes. Diabetes. 67(Supplement_1). 1 indexed citations
12.
Zhang, Rui, et al.. (2018). Discovering and identifying New York heart association classification from electronic health records. BMC Medical Informatics and Decision Making. 18(S2). 48–48. 24 indexed citations
13.
Zhang, Rui, et al.. (2017). Automatic methods to extract New York heart association classification from clinical notes. PubMed. 2017. 1296–1299. 14 indexed citations
14.
Krasnokutsky, Svetlana, Mukundan Attur, Sisi Ma, et al.. (2017). Serum Urate Levels Predict Joint Space Narrowing in Non‐Gout Patients With Medial Knee Osteoarthritis. Arthritis & Rheumatology. 69(6). 1213–1220. 45 indexed citations
15.
Zhao, Lianmei, Xin Yang, Sisi Ma, et al.. (2016). Mmu-miR-125b overexpression suppresses NO production in activated macrophages by targeting eEF2K and CCNA2. BMC Cancer. 16(1). 252–252. 16 indexed citations
16.
Zhao, Lianmei, Sisi Ma, Yehua Ge, et al.. (2015). Functions of miR-146a and miR-222 in Tumor-associated Macrophages in Breast Cancer. Scientific Reports. 5(1). 18648–18648. 79 indexed citations
17.
Deng, Fang-Ming, Nicholas M. Donin, Ruth Pe Benito, et al.. (2015). Size-adjusted Quantitative Gleason Score as a Predictor of Biochemical Recurrence after Radical Prostatectomy. European Urology. 70(2). 248–253. 15 indexed citations
18.
Ma, Sisi, Min Liu, Hui Guo, et al.. (2015). A double feedback loop mediated by microRNA-23a/27a/24-2 regulates M1versusM2 macrophage polarization and thus regulates cancer progression. Oncotarget. 7(12). 13502–13519. 98 indexed citations
19.
Wu, Chen, Sisi Ma, Jianfeng Ge, et al.. (2012). Colocalization and identification of interaction sites between IGFBP-3 and GalNAc-T14. Gene. 499(2). 347–351. 1 indexed citations
20.
Wu, Chen, Xiaodan Guo, Wei-Na Wang, et al.. (2010). N-Acetylgalactosaminyltransferase-14 as a potential biomarker for breast cancer by immunohistochemistry. BMC Cancer. 10(1). 123–123. 55 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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