Shenglin Ma

1.1k total citations · 1 hit paper
7 papers, 830 citations indexed

About

Shenglin Ma is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shenglin Ma has authored 7 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Shenglin Ma's work include Diabetes Treatment and Management (3 papers), Pharmacology and Obesity Treatment (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Shenglin Ma is often cited by papers focused on Diabetes Treatment and Management (3 papers), Pharmacology and Obesity Treatment (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Shenglin Ma collaborates with scholars based in Switzerland, United States and United Kingdom. Shenglin Ma's co-authors include Estelle Lach‐Trifilieff, Angelika Meyer, Tea Shavlakadze, Ieuan Clay, Andrew S. Brack, Samuel M. Cadena, Jason A. Gilbert, Carsten Jacobi, Anne‐Ulrike Trendelenburg and Susanne E. Swalley and has published in prestigious journals such as Cell Metabolism, Diabetes and Annals of the Rheumatic Diseases.

In The Last Decade

Shenglin Ma

7 papers receiving 813 citations

Hit Papers

GDF11 Increases with Age ... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration
    2015 407 citations Marc A. Egerman, Samuel M. Cadena et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenglin Ma Switzerland 5 358 325 255 244 127 7 830
Thomas H. Ambrosi United States 10 408 1.1× 79 0.2× 246 1.0× 139 0.6× 194 1.5× 22 1.0k
Zhanyun Da China 16 192 0.5× 413 1.3× 70 0.3× 261 1.1× 54 0.4× 36 775
Daitaro Kurosaka Japan 16 202 0.6× 280 0.9× 96 0.4× 173 0.7× 71 0.6× 53 751
Maria Zingariello Italy 19 450 1.3× 233 0.7× 125 0.5× 127 0.5× 439 3.5× 54 1.1k
Kali Chrysovergis United States 8 244 0.7× 196 0.6× 125 0.5× 71 0.3× 59 0.5× 8 550
Martin Siczkowski United Kingdom 16 293 0.8× 112 0.3× 83 0.3× 58 0.2× 204 1.6× 23 692
Lisa Stadmeyer United States 12 737 2.1× 106 0.3× 129 0.5× 64 0.3× 20 0.2× 14 1.1k
Juryun Kim South Korea 17 311 0.9× 174 0.5× 50 0.2× 167 0.7× 25 0.2× 25 727
Martin P. Powers United States 11 349 1.0× 59 0.2× 97 0.4× 49 0.2× 38 0.3× 18 805

Countries citing papers authored by Shenglin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shenglin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglin Ma. A scholar is included among the top collaborators of Shenglin 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 Shenglin Ma. Shenglin Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
2.
He, Yanling, William G. Haynes, Charles D. Meyers, et al.. (2019). The effects of licogliflozin, a dual SGLT1/2 inhibitor, on body weight in obese patients with or without diabetes. Diabetes Obesity and Metabolism. 21(6). 1311–1321. 65 indexed citations
3.
Haynes, William G., Charles D. Meyers, Anisha E. Mendonza, et al.. (2018). LIK066, a Dual SGLT1/2 Inhibitor, Reduces Weight and Improves Multiple Incretin Hormones in Clinical Proof-of-Concept Studies in Obese Patients With or Without Diabetes. Diabetes. 67(Supplement_1). 3 indexed citations
4.
Leng, Jianhang, et al.. (2016). Replacing Alpha-Fetoprotein With Alpha-Fetoprotein-L3 Increases the Sensitivity of Prenatal Screening for Trisomy 21. American Journal of Therapeutics. 23(6). e1754–e1757. 5 indexed citations
5.
Goldberg, Hilary J., Sergio Harari, Vincent Cottin, et al.. (2015). Everolimus for the treatment of lymphangioleiomyomatosis: a phase II study. European Respiratory Journal. 46(3). 783–794. 74 indexed citations
6.
Egerman, Marc A., Samuel M. Cadena, Jason A. Gilbert, et al.. (2015). GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration. Cell Metabolism. 22(1). 164–174. 407 indexed citations breakdown →
7.

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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2026