Mingyan Fang

3.1k total citations
49 papers, 1.2k citations indexed

About

Mingyan Fang is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Mingyan Fang has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Genetics and 15 papers in Immunology. Recurrent topics in Mingyan Fang's work include Immunodeficiency and Autoimmune Disorders (9 papers), RNA modifications and cancer (8 papers) and RNA Research and Splicing (5 papers). Mingyan Fang is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (9 papers), RNA modifications and cancer (8 papers) and RNA Research and Splicing (5 papers). Mingyan Fang collaborates with scholars based in China, Sweden and Italy. Mingyan Fang's co-authors include Lennart Hammarström, Hassan Abolhassani, Jianguo Zhang, Asghar Aghamohammadi, Nima Rezaei, Bin Wu, Mariam El‐Rajab, Josja Graafland, Simone Olgiati and Mario Quarantelli and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mingyan Fang

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyan Fang China 17 615 305 282 207 177 49 1.2k
Shamir Zenvirt Israel 16 618 1.0× 129 0.4× 367 1.3× 203 1.0× 205 1.2× 22 1.2k
Vladimir Makarov United States 16 802 1.3× 112 0.4× 583 2.1× 211 1.0× 113 0.6× 27 1.7k
Cole Ferguson United States 17 616 1.0× 136 0.4× 365 1.3× 146 0.7× 143 0.8× 28 1.3k
Pieter Faber United States 15 1.0k 1.7× 200 0.7× 190 0.7× 122 0.6× 435 2.5× 22 1.6k
Dorota Monies Saudi Arabia 22 579 0.9× 188 0.6× 507 1.8× 69 0.3× 75 0.4× 48 1.3k
Guy Helman United States 19 692 1.1× 156 0.5× 108 0.4× 120 0.6× 72 0.4× 41 1.0k
Wojciech Wiszniewski United States 18 509 0.8× 117 0.4× 320 1.1× 119 0.6× 343 1.9× 42 1.1k
Sara Benedetti Italy 21 912 1.5× 133 0.4× 340 1.2× 90 0.4× 232 1.3× 54 1.5k
Vasanta Subramanian United Kingdom 18 813 1.3× 119 0.4× 304 1.1× 260 1.3× 90 0.5× 37 1.3k
Anas M. Alazami Saudi Arabia 22 857 1.4× 147 0.5× 584 2.1× 46 0.2× 118 0.7× 55 1.5k

Countries citing papers authored by Mingyan Fang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyan Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyan Fang. A scholar is included among the top collaborators of Mingyan Fang 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 Mingyan Fang. Mingyan Fang 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.
Zhang, Yifan, Jianfeng Liu, Qiqi Yang, et al.. (2025). Shared genetic features inference among hypoxia-ischemia diseases in the presence of heterogenous omics data based on a novel risk assessment method. Frontiers in Genetics. 16. 1587854–1587854.
2.
Su, Zheng, et al.. (2025). GeneRAIN: multifaceted representation of genes via deep learning of gene expression networks. Genome biology. 26(1). 288–288.
3.
4.
Fang, Mingyan, et al.. (2024). Relationships among self-disclosure, social support and psychological distress in caregivers of patients with advanced lung cancer: A mediating model. European Journal of Oncology Nursing. 72. 102677–102677. 2 indexed citations
5.
Yu, Miao, Yosuke Konno, Baojin Wang, et al.. (2023). Integrated multi-omics analyses and functional validation reveal TTK as a novel EMT activator for endometrial cancer. Journal of Translational Medicine. 21(1). 151–151. 11 indexed citations
6.
Zhu, Lin, Miao Yu, Pingping Jiang, et al.. (2022). Identification of Potential Biomarkers for Pan-Cancer Diagnosis and Prognosis Through the Integration of Large-Scale Transcriptomic Data. Frontiers in Pharmacology. 13. 870660–870660. 6 indexed citations
7.
Liu, Panhong, Mingyan Fang, Fang Zheng, et al.. (2022). Rare Variants in Inborn Errors of Immunity Genes Associated With Covid-19 Severity. Frontiers in Cellular and Infection Microbiology. 12. 888582–888582. 5 indexed citations
8.
Rossi, Rachele, Mingyan Fang, Chongyi Jiang, et al.. (2022). Calculating and comparing codon usage values in rare disease genes highlights codon clustering with disease-and tissue- specific hierarchy. PLoS ONE. 17(3). e0265469–e0265469. 2 indexed citations
9.
Fang, Mingyan, Zheng Su, Hassan Abolhassani, et al.. (2021). T Cell Repertoire Abnormality in Immunodeficiency Patients with DNA Repair and Methylation Defects. Journal of Clinical Immunology. 42(2). 375–393. 11 indexed citations
10.
Rösen‐Wolff, Angela, Angela Huebner, Eva‐Maria Jacobsen, et al.. (2020). More severe than CVID: Combined immunodeficiency due to a novel NFKB2 mutation. Pediatric Allergy and Immunology. 32(4). 793–797. 7 indexed citations
11.
Abolhassani, Hassan, Harold Marcotte, Mingyan Fang, & Lennart Hammarström. (2020). Clinical implications of experimental analyses of AID function on predictive computational tools: Challenge of missense variants. Clinical Genetics. 97(6). 844–856.
12.
Wu, Jinghua, Xie Wang, Liya Lin, et al.. (2020). Developing an Unbiased Multiplex PCR System to Enrich the TRB Repertoire Toward Accurate Detection in Leukemia. Frontiers in Immunology. 11. 1631–1631. 3 indexed citations
13.
Petrezsélyová, Silvia, Jan Dvořák, Peter J. Makovicky, et al.. (2019). Myopia disease mouse models: a missense point mutation (S673G) and a protein-truncating mutation of the Zfp644 mimic human disease phenotype. Cell & Bioscience. 9(1). 21–21. 5 indexed citations
14.
Jespersgaard, Cathrine, Mingyan Fang, Mette Bertelsen, et al.. (2019). Molecular genetic analysis using targeted NGS analysis of 677 individuals with retinal dystrophy. Scientific Reports. 9(1). 1219–1219. 86 indexed citations
15.
Pillar, Nir, Oren Pleniceanu, Mingyan Fang, et al.. (2017). A rare variant in the FHL1 gene associated with X-linked recessive hypoparathyroidism. Human Genetics. 136(7). 835–845. 9 indexed citations
16.
Reyes, Aurelio, Laura Melchionda, Alessia Nasca, et al.. (2015). RNASEH1 Mutations Impair mtDNA Replication and Cause Adult-Onset Mitochondrial Encephalomyopathy. The American Journal of Human Genetics. 97(1). 186–193. 80 indexed citations
17.
Masotti, Andrea, Paolo Uva, Laura Davis‐Keppen, et al.. (2015). Keppen-Lubinsky Syndrome Is Caused by Mutations in the Inwardly Rectifying K+ Channel Encoded by KCNJ6. The American Journal of Human Genetics. 96(2). 295–300. 86 indexed citations
18.
Alkhairy, Omar K., Hassan Abolhassani, Nima Rezaei, et al.. (2015). Spectrum of Phenotypes Associated with Mutations in LRBA. Journal of Clinical Immunology. 36(1). 33–45. 139 indexed citations
19.
Nyegaard, Mette, Mingyan Fang, Hui Jiang, et al.. (2015). A novel single nucleotide splice site mutation in FHL1 confirms an Emery-Dreifuss plus phenotype with pulmonary artery hypoplasia and facial dysmorphology. European Journal of Medical Genetics. 58(4). 222–229. 9 indexed citations
20.
Lamperti, Costanza, Mingyan Fang, Federica Invernizzi, et al.. (2012). A novel homozygous mutation in SUCLA2 gene identified by exome sequencing. Molecular Genetics and Metabolism. 107(3). 403–408. 31 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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