Yuyan Ma

1.2k total citations · 1 hit paper
15 papers, 824 citations indexed

About

Yuyan Ma is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Yuyan Ma has authored 15 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Yuyan Ma's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Yuyan Ma is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Yuyan Ma collaborates with scholars based in China, Czechia and Sweden. Yuyan Ma's co-authors include Bijie Hu, Jue Pan, Qing Miao, Wenting Jin, Yao Zhang, Yingnan Huang, Yi Su, Yumeng Yao, Chunmei Zhou and Mengran Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Neurochemistry.

In The Last Decade

Yuyan Ma

13 papers receiving 808 citations

Hit Papers

Microbiological Diagnostic Performance of Metagenomic Nex... 2018 2026 2020 2023 2018 200 400 600
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. Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice
    2018 602 citations Qing Miao, Yuyan Ma et al. Clinical Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuyan Ma China 8 504 224 190 127 116 15 824
A Jeurissen Belgium 16 299 0.6× 219 1.0× 73 0.4× 56 0.4× 35 0.3× 41 706
Marijke Peetermans Belgium 22 249 0.5× 458 2.0× 275 1.4× 93 0.7× 114 1.0× 46 1.1k
Ki Ho Hong South Korea 18 182 0.4× 493 2.2× 194 1.0× 48 0.4× 44 0.4× 53 877
Anne J. M. Loonen Netherlands 11 349 0.7× 161 0.7× 180 0.9× 257 2.0× 85 0.7× 16 770
Christian C. Patrick United States 13 230 0.5× 185 0.8× 94 0.5× 69 0.5× 71 0.6× 32 604
C Cellesi Italy 16 363 0.7× 306 1.4× 118 0.6× 43 0.3× 44 0.4× 57 746
Avinash Pathengay India 24 140 0.3× 159 0.7× 120 0.6× 119 0.9× 103 0.9× 127 1.8k
Bettina M. Knoll United States 12 169 0.3× 248 1.1× 125 0.7× 52 0.4× 51 0.4× 22 539
Danielle Ingebrigtsen United States 3 268 0.5× 138 0.6× 219 1.2× 82 0.6× 44 0.4× 5 555
Helena Lomberg Sweden 17 493 1.0× 117 0.5× 121 0.6× 23 0.2× 124 1.1× 29 868

Countries citing papers authored by Yuyan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yuyan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuyan Ma

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

All Works

15 of 15 papers shown
1.
2.
Wang, Qingqing, Meixia Wang, Yu Chen, et al.. (2024). Deciphering microbiome and fungi–bacteria interactions in chronic wound infections using metagenomic sequencing. European Journal of Clinical Microbiology & Infectious Diseases. 43(12). 2383–2396.
3.
Jin, Wenting, Yuyan Ma, Qingfeng Shi, et al.. (2021). Clinical features of and diagnostic approaches for abdominal tuberculosis: 5-year experience from a non-tuberculosis-designated hospital in China. Revista Española de Enfermedades Digestivas. 114(8). 461–467. 1 indexed citations
4.
Miao, Qing, Yuyan Ma, Yun Ling, et al.. (2021). Evaluation of superinfection, antimicrobial usage, and airway microbiome with metagenomic sequencing in COVID-19 patients: A cohort study in Shanghai. Journal of Microbiology Immunology and Infection. 54(5). 808–815. 23 indexed citations
5.
Yang, Ye, Jue Pan, Qing Miao, et al.. (2021). The clinical value of valve metagenomic next-generation sequencing when applied to the etiological diagnosis of infective endocarditis. Annals of Translational Medicine. 9(19). 1490–1490. 14 indexed citations
6.
Zhang, X., et al.. (2020). Inflammation-Based Prognostic Scores in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma After Liver Transplantation. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Wang, Qingqing, Qing Miao, Jue Pan, et al.. (2020). The clinical value of metagenomic next-generation sequencing in the microbiological diagnosis of skin and soft tissue infections. International Journal of Infectious Diseases. 100. 414–420. 37 indexed citations
8.
Jin, Wenting, Jue Pan, Qing Miao, et al.. (2020). Diagnostic accuracy of metagenomic next-generation sequencing for active tuberculosis in clinical practice at a tertiary general hospital. Annals of Translational Medicine. 8(17). 1065–1065. 23 indexed citations
9.
Huang, Yingnan, Yuyan Ma, Qing Miao, et al.. (2019). Arthritis caused by Legionella micdadei and Staphylococcus aureus: metagenomic next-generation sequencing provides a rapid and accurate access to diagnosis and surveillance. Annals of Translational Medicine. 7(20). 589–589. 14 indexed citations
10.
Miao, Qing, Yuyan Ma, Qingqing Wang, et al.. (2018). Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice. Clinical Infectious Diseases. 67(suppl_2). S231–S240. 602 indexed citations breakdown →
11.
Li, Zhe, et al.. (2008). [Screening and analysis of in vivo induced genes of Mycobacterium tuberculosis].. PubMed. 88(3). 189–93. 2 indexed citations
12.
Ma, Yuyan, et al.. (2002). [Fat particle injection auto-transplantation a 10-year review].. PubMed. 18(2). 95–7. 2 indexed citations
13.
Henriksson, Jan, Stanley Salmons, Yuyan Ma, C. S. Hintz, & O. H. Lowry. (1988). Chronic stimulation of mammalian muscle: changes in metabolite concentrations in individual fibers. American Journal of Physiology-Cell Physiology. 255(4). C543–C551. 26 indexed citations
14.
Ma, Yuyan. (1985). [Use of Mycobacterium tuberculosis antigen 5 in the diagnosis of active pulmonary tuberculosis with ELISA technic].. PubMed. 8(2). 71–3, 125. 1 indexed citations
15.
Lowry, O. H., et al.. (1977). DIVERSITY OF METABOLIC PATTERNS IN HUMAN BRAIN TUMORS—I. HIGH ENERGY PHOSPHATE COMPOUNDS AND BASIC COMPOSITION1. Journal of Neurochemistry. 29(6). 959–977. 78 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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