Shuyi Ma

2.5k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Shuyi Ma is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shuyi Ma has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Infectious Diseases and 17 papers in Epidemiology. Recurrent topics in Shuyi Ma's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (14 papers) and RNA and protein synthesis mechanisms (7 papers). Shuyi Ma is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (14 papers) and RNA and protein synthesis mechanisms (7 papers). Shuyi Ma collaborates with scholars based in United States, China and South Africa. Shuyi Ma's co-authors include David R. Sherman, Nathan D. Price, Nitin S. Baliga, Tige R. Rustad, K Minch, Erin W. Meermeier, David W. Dowdy, Kogieleum Naidoo, Kristina L. Bajema and Paul K. Drain and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shuyi Ma

34 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Incipient and Subclinical Tuberculosis: a Clinical Review of Early Stages and Progression of Infection

2018 348 citations Shuyi Ma, David R. Sherman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuyi Ma United States	19	918	717	567	249	144	35	1.5k
Jiazhen Chen China	24	1.3k 1.4×	993 1.4×	623 1.1×	354 1.4×	80 0.6×	80	1.8k
Adong Shen China	24	872 0.9×	957 1.3×	497 0.9×	520 2.1×	88 0.6×	83	1.7k
Kathryn Winglee United States	18	774 0.8×	553 0.8×	960 1.7×	267 1.1×	134 0.9×	36	1.9k
Jansy P. Sarathy United States	20	1.2k 1.3×	810 1.1×	541 1.0×	232 0.9×	73 0.5×	38	1.5k
Mamoudou Maïga United States	21	758 0.8×	609 0.8×	372 0.7×	203 0.8×	38 0.3×	78	1.2k
Sang Nae Cho South Korea	15	1.1k 1.2×	828 1.2×	405 0.7×	359 1.4×	54 0.4×	28	1.4k
Brendan K. Podell United States	20	698 0.8×	524 0.7×	262 0.5×	167 0.7×	41 0.3×	58	1.1k
Meng‐Rui Lee Taiwan	22	895 1.0×	1.2k 1.6×	289 0.5×	351 1.4×	30 0.2×	85	1.9k
Ľuboš Drgoňa Slovakia	17	636 0.7×	574 0.8×	391 0.7×	70 0.3×	84 0.6×	53	1.4k
Lafras M. Steyn South Africa	20	1.1k 1.2×	972 1.4×	305 0.5×	496 2.0×	115 0.8×	40	1.6k

Countries citing papers authored by Shuyi Ma

Since Specialization

Citations

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

Fields of papers citing papers by Shuyi Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyi Ma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rustad, Tige R., et al.. (2025). Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning. PubMed. 3. 1 indexed citations

Mayfield, Jacob A., Sahadevan Raman, Vivek Mishra, et al.. (2024). Mycobacteria that cause tuberculosis have retained ancestrally acquired genes for the biosynthesis of chemically diverse terpene nucleosides. PLoS Biology. 22(9). e3002813–e3002813. 2 indexed citations

Ofori-Anyinam, Boatema, Meagan Hamblin, Majid B. Shaikh, et al.. (2024). Catalase activity deficiency sensitizes multidrug-resistant Mycobacterium tuberculosis to the ATP synthase inhibitor bedaquiline. Nature Communications. 15(1). 9792–9792. 6 indexed citations

He, Shan, Li Gao, Zhuomin Zhang, et al.. (2024). Diversity analysis of microorganisms on the surface of four summer fruit varieties in Baotou, Inner Mongolia, China. PeerJ. 12. e18752–e18752. 2 indexed citations

Frando, Andrew, Vishant Mahendra Boradia, Marina Gritsenko, et al.. (2023). The Mycobacterium tuberculosis protein O-phosphorylation landscape. Nature Microbiology. 8(3). 548–561. 18 indexed citations

Verma, Sheetal, Rodrigo Ribeiro‐Rodrigues, Seema Husain, et al.. (2022). Early alveolar macrophage response and IL-1R-dependent T cell priming determine transmissibility of Mycobacterium tuberculosis strains. Nature Communications. 13(1). 884–884. 46 indexed citations

Ma, Shuyi, et al.. (2021). Experimental and Computational Workflow for RNA Sequencing in Mycobacterium tuberculosis: From Total RNA to Differentially Expressed Genes. Methods in molecular biology. 2314. 481–512. 3 indexed citations

Ma, Shuyi, Robert Morrison, Samuel J. Hobbs, et al.. (2020). Transcriptional regulator-induced phenotype screen reveals drug potentiators in Mycobacterium tuberculosis. Nature Microbiology. 6(1). 44–50. 16 indexed citations

Ma, Shuyi, Zhiguo Liu, Xiong Zhu, et al.. (2020). Molecular epidemiology of Brucella abortus strains from cattle in Inner Mongolia, China. Preventive Veterinary Medicine. 183. 105080–105080. 12 indexed citations

10.

Ma, Shuyi, et al.. (2020). Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities. Scientific Reports. 10(1). 3490–3490. 56 indexed citations

11.

Ma, Shuyi, et al.. (2019). Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis. mBio. 10(6). 40 indexed citations

12.

Safi, Hassan, Pooja Gopal, Shuyi Ma, et al.. (2019). Phase variation in Mycobacterium tuberculosis glpK produces transiently heritable drug tolerance. Proceedings of the National Academy of Sciences. 116(39). 19665–19674. 97 indexed citations

13.

Peterson, Eliza J. R., Shuyi Ma, David R. Sherman, & Nitin S. Baliga. (2016). Network analysis identifies Rv0324 and Rv0880 as regulators of bedaquiline tolerance in Mycobacterium tuberculosis. Nature Microbiology. 1(8). 16078–16078. 61 indexed citations

14.

Minch, K, Tige R. Rustad, Eliza J. R. Peterson, et al.. (2015). The DNA-binding network of Mycobacterium tuberculosi s. Nature Communications. 6(1). 5829–5829. 152 indexed citations

15.

Ma, Shuyi, K Minch, Tige R. Rustad, et al.. (2015). Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis. PLoS Computational Biology. 11(11). e1004543–e1004543. 49 indexed citations

16.

Turkarslan, Serdar, Eliza J. R. Peterson, Tige R. Rustad, et al.. (2015). A comprehensive map of genome-wide gene regulation in Mycobacterium tuberculosis. Scientific Data. 2(1). 150010–150010. 35 indexed citations

17.

Sung, Jaeyun, Pan‐Jun Kim, Shuyi Ma, et al.. (2013). Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures. PLoS Computational Biology. 9(7). e1003148–e1003148. 13 indexed citations

18.

Pórszász, János, Mehdi Rambod, Hester van der Vaart, et al.. (2013). Sinusoidal high‐intensity exercise does not elicit ventilatory limitation in chronic obstructive pulmonary disease. Experimental Physiology. 98(6). 1102–1114. 16 indexed citations

19.

Ma, Shuyi, János Tamás Varga, Mehdi Rambod, et al.. (2009). Breath-by-breath quantification of progressive airflow limitation during exercise in COPD: A new method. Respiratory Medicine. 104(3). 389–396. 19 indexed citations

20.

Ma, Shuyi, et al.. (2009). Methodology for Using Long-Term Accelerometry Monitoring to Describe Daily Activity Patterns in COPD. COPD Journal of Chronic Obstructive Pulmonary Disease. 6(2). 121–129. 66 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.

Explore authors with similar magnitude of impact