Xiaosu Ma

1.1k total citations · 4 hit papers
22 papers, 670 citations indexed

About

Xiaosu Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaosu Ma has authored 22 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaosu Ma's work include Diabetes Treatment and Management (15 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (5 papers). Xiaosu Ma is often cited by papers focused on Diabetes Treatment and Management (15 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (5 papers). Xiaosu Ma collaborates with scholars based in United States, Australia and Singapore. Xiaosu Ma's co-authors include Edward Pratt, Axel Haupt, Deborah A. Robins, Kieren J. Mather, Christof Kazda, Маниге Кониг, Julio Rosenstock, Lisa Connery, Sean Wharton and Rong Liu and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Xiaosu Ma

19 papers receiving 658 citations

Hit Papers

Daily Oral GLP-1 Receptor Agonist Orforglipron for Adults... 2023 2026 2024 2025 2023 2023 2023 2025 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosu Ma United States 10 451 227 219 169 132 22 670
Ted Okerson United States 11 845 1.9× 479 2.1× 255 1.2× 364 2.2× 89 0.7× 21 1.0k
Ivano Franzetti Italy 14 430 1.0× 177 0.8× 101 0.5× 212 1.3× 54 0.4× 21 604
Günaj Rakipovski Denmark 9 363 0.8× 137 0.6× 78 0.4× 211 1.2× 69 0.5× 15 547
Deborah T. Cirkel United Kingdom 8 463 1.0× 157 0.7× 110 0.5× 221 1.3× 35 0.3× 8 529
Christof Kazda United States 13 836 1.9× 411 1.8× 234 1.1× 290 1.7× 175 1.3× 30 1.0k
Christopher Sorli United States 13 832 1.8× 443 2.0× 286 1.3× 421 2.5× 225 1.7× 28 1.2k
Mario Widel United States 7 764 1.7× 281 1.2× 139 0.6× 430 2.5× 68 0.5× 11 922
Marie‐Louise Hartoft‐Nielsen Denmark 11 439 1.0× 97 0.4× 96 0.4× 237 1.4× 60 0.5× 17 635
Marilyn K. Boardman United States 10 1.0k 2.3× 358 1.6× 275 1.3× 470 2.8× 84 0.6× 12 1.1k
Tadashi Arao Japan 14 301 0.7× 134 0.6× 49 0.2× 97 0.6× 48 0.4× 36 516

Countries citing papers authored by Xiaosu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosu Ma. A scholar is included among the top collaborators of Xiaosu 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 Xiaosu Ma. Xiaosu 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
2.
Ray, Kausik K., Robert S. Rosenson, Jeremiah Jones, et al.. (2025). Durability and efficacy of solbinsiran, a GalNAc-conjugated siRNA targeting ANGPTL3, in adults with mixed dyslipidaemia (PROLONG-ANG3): a double-blind, randomised, placebo-controlled, phase 2 trial. The Lancet. 405(10489). 1594–1607. 16 indexed citations breakdown →
3.
Morse, Bridget L., Shobha Bhattachar, Xiaosu Ma, et al.. (2025). Disposition and Absolute Bioavailability of Orally Administered Orforglipron in Healthy Participants. Clinical Pharmacology in Drug Development. 15(1). e1594–e1594. 1 indexed citations
4.
Ray, Kausik K., Helle Linnebjerg, Laura F. Michael, et al.. (2025). Effect of ANGPTL3 Inhibition With Solbinsiran in Preclinical and Early Human Studies. Journal of the American College of Cardiology. 85(19). 1803–1818. 4 indexed citations
6.
Ray, Kausik K., Giacomo Ruotolo, Xi Shen, et al.. (2024). SOLBINSIRAN, A GALNAC-CONJUGATED SIRNA TARGETING ANGPTL3, REDUCES ATHEROGENIC LIPOPROTEINS IN INDIVIDUALS WITH MIXED DYSLIPIDAEMIA IN A DURABLE AND DOSEDEPENDENT MANNER. Journal of the American College of Cardiology. 83(13). 1673–1673. 8 indexed citations
9.
Frías, Juan P., Stanley H. Hsia, Rong Liu, et al.. (2023). Efficacy and safety of oral orforglipron in patients with type 2 diabetes: a multicentre, randomised, dose-response, phase 2 study. The Lancet. 402(10400). 472–483. 97 indexed citations breakdown →
10.
Wharton, Sean, Thomas Blevins, Lisa Connery, et al.. (2023). Daily Oral GLP-1 Receptor Agonist Orforglipron for Adults with Obesity. New England Journal of Medicine. 389(10). 877–888. 259 indexed citations breakdown →
11.
Nissen, Steven E., Helle Linnebjerg, Xi Shen, et al.. (2023). Lepodisiran, an Extended-Duration Short Interfering RNA Targeting Lipoprotein(a). JAMA. 330(21). 2075–2075. 124 indexed citations breakdown →
12.
Urva, Shweta, Tonya Quinlan, John Landry, et al.. (2022). Effects of Hepatic Impairment on the Pharmacokinetics of the Dual GIP and GLP-1 Receptor Agonist Tirzepatide. Clinical Pharmacokinetics. 61(7). 1057–1067. 21 indexed citations
13.
Xing, Yifan, et al.. (2020). Development and Verification of a Body Weight–Directed Disease Trial Model for Glucose Homeostasis. The Journal of Clinical Pharmacology. 61(2). 234–243. 2 indexed citations
14.
Shireman, Laura M., Xiaosu Ma, Danny D. Shen, et al.. (2019). Pharmacodynamics of Metformin in Pregnant Women With Gestational Diabetes Mellitus and Nonpregnant Women With Type 2 Diabetes Mellitus. The Journal of Clinical Pharmacology. 60(4). 540–549. 4 indexed citations
16.
Ma, Xiaosu, Jenny Y. Chien, Jennal Johnson, James Malone, & Vikram Sinha. (2017). Simulation-Based Evaluation of Dose-Titration Algorithms for Rapid-Acting Insulin in Subjects with Type 2 Diabetes Mellitus Inadequately Controlled on Basal Insulin and Oral Antihyperglycemic Medications. Diabetes Technology & Therapeutics. 19(8). 483–490. 2 indexed citations
17.
Mari, Andrea, Julio Rosenstock, Xiaosu Ma, Ying G. Li, & Jeffrey A. Jackson. (2015). Optimized Human Regular U-500 Insulin Treatment Improves β-Cell Function in Severely Insulin-Resistant Patients with Long-Standing Type 2 Diabetes and High Insulin Requirements. Endocrine Practice. 21(12). 1344–1353. 8 indexed citations
18.
Peña, Amparo de la, Xiaosu Ma, Shobha Reddy, et al.. (2014). Application of PK/PD Modeling and Simulation to Dosing Regimen Optimization of High-Dose Human Regular U-500 Insulin. Journal of Diabetes Science and Technology. 8(4). 821–829. 28 indexed citations
19.
Ma, Xiaosu, Dorothy J. Becker, Vincent C. Arena, Paolo Vicini, & Carla J. Greenbaum. (2009). The Effect of Age on Insulin Sensitivity and Insulin Secretion in First-Degree Relatives of Type 1 Diabetic Patients: A Population Analysis. The Journal of Clinical Endocrinology & Metabolism. 94(7). 2446–2451. 17 indexed citations
20.
Hébert, Mary F., Suresh Babu Naraharisetti, Xiaosu Ma, et al.. (2007). 53: Are we guessing glyburide dosage in the treatment of gestational diabetes (GDM)? The pharmacological evidence for better clinical practice. American Journal of Obstetrics and Gynecology. 197(6). S25–S25. 2 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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