Ya-Fang Mei

728 total citations
28 papers, 573 citations indexed

About

Ya-Fang Mei is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Ya-Fang Mei has authored 28 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 16 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Ya-Fang Mei's work include Virus-based gene therapy research (27 papers), CAR-T cell therapy research (15 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Ya-Fang Mei is often cited by papers focused on Virus-based gene therapy research (27 papers), CAR-T cell therapy research (15 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Ya-Fang Mei collaborates with scholars based in Sweden, Germany and Slovakia. Ya-Fang Mei's co-authors include Göran Wadell, Anna Segerman, Kristina Lindman, Johan Skog, Marko Marttila, B. David Persson, Dirk M. Reiter, José M. Casasnovas, Niklas Arnberg and Thilo Stehle and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Ya-Fang Mei

28 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya-Fang Mei Sweden 15 466 327 233 173 105 28 573
Alexander T. Baker United Kingdom 11 277 0.6× 209 0.6× 178 0.8× 106 0.6× 39 0.4× 19 431
Jesse K. Mackey United States 15 380 0.8× 407 1.2× 201 0.9× 145 0.8× 99 0.9× 19 675
Murty Chengalvala Canada 14 292 0.6× 227 0.7× 57 0.2× 151 0.9× 159 1.5× 26 576
Kristina Lindman Sweden 11 329 0.7× 207 0.6× 118 0.5× 137 0.8× 83 0.8× 12 361
Olivier Billet France 7 181 0.4× 286 0.9× 131 0.6× 82 0.5× 266 2.5× 10 532
Xiao‐Mei Rao United States 12 281 0.6× 294 0.9× 149 0.6× 75 0.4× 82 0.8× 24 473
Mathias F. Leber Germany 9 338 0.7× 140 0.4× 171 0.7× 82 0.5× 112 1.1× 13 416
B Taródi Hungary 10 165 0.4× 187 0.6× 102 0.4× 94 0.5× 116 1.1× 20 395
Christian Grossardt Germany 9 531 1.1× 203 0.6× 360 1.5× 108 0.6× 146 1.4× 10 645
Vanessa da Silva Garcia Canada 6 298 0.6× 153 0.5× 242 1.0× 59 0.3× 71 0.7× 16 427

Countries citing papers authored by Ya-Fang Mei

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Fang Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya-Fang Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Fang Mei. A scholar is included among the top collaborators of Ya-Fang Mei 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 Ya-Fang Mei. Ya-Fang Mei 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.
Mei, Ya-Fang, et al.. (2018). Measuring Antiviral Capacity of T Cell Responses to Adenovirus. The Journal of Immunology. 202(2). 618–624. 8 indexed citations
3.
Niittykoski, Minna, Mikael von und zu Fraunberg, Miika Martikainen, et al.. (2017). Immunohistochemical Characterization and Sensitivity to Human Adenovirus Serotypes 3, 5, and 11p of New Cell Lines Derived from Human Diffuse Grade II to IV Gliomas. Translational Oncology. 10(5). 772–779. 6 indexed citations
4.
Mei, Ya-Fang, et al.. (2016). Complete replication-competent adenovirus 11p vectors with E1 or E3 insertions show improved heat stability. Virology. 497. 198–210. 6 indexed citations
5.
Mei, Ya-Fang, et al.. (2016). Replication-competent human adenovirus 11p vectors can propagate in Vero cells. Virology. 495. 42–51. 3 indexed citations
6.
Carlsson, Marcus, Hanna Uvell, Karin Edlund, et al.. (2014). Isolation and Characterization of Anti-Adenoviral Secondary Metabolites from Marine Actinobacteria. Marine Drugs. 12(2). 799–821. 22 indexed citations
7.
Öberg, Christopher T., Karin Edlund, Nam Phuong Tran, et al.. (2012). Synthesis, Biological Evaluation, and Structure–Activity Relationships of 2-[2-(Benzoylamino)benzoylamino]benzoic Acid Analogues as Inhibitors of Adenovirus Replication. Journal of Medicinal Chemistry. 55(7). 3170–3181. 27 indexed citations
8.
Edlund, Karin, Christopher T. Öberg, Annika Allard, et al.. (2012). 2-[4,5-Difluoro-2-(2-Fluorobenzoylamino)-Benzoylamino]Benzoic Acid, an Antiviral Compound with Activity against Acyclovir-Resistant Isolates of Herpes Simplex Virus Types 1 and 2. Antimicrobial Agents and Chemotherapy. 56(11). 5735–5743. 13 indexed citations
9.
Mei, Ya-Fang, et al.. (2011). Transduction and Oncolytic Profile of a Potent Replication-Competent Adenovirus 11p Vector (RCAd11pGFP) in Colon Carcinoma Cells. PLoS ONE. 6(3). e17532–e17532. 15 indexed citations
10.
Hu, Yanling, et al.. (2010). Adenovirus 11p downregulates CD46 early in infection. Virology. 405(2). 474–482. 10 indexed citations
11.
Mei, Ya-Fang, et al.. (2010). Adenovirus interactions with CD46 on transgenic mouse erythrocytes. Virology. 402(1). 20–25. 3 indexed citations
12.
Sandberg, Linda, et al.. (2009). Replication-Competent Ad11p Vector (RCAd11p) Efficiently Transduces and Replicates in Hormone-Refractory Metastatic Prostate Cancer Cells. Human Gene Therapy. 20(4). 361–373. 23 indexed citations
13.
Persson, B. David, Dirk M. Reiter, Marko Marttila, et al.. (2007). Adenovirus type 11 binding alters the conformation of its receptor CD46. Nature Structural & Molecular Biology. 14(2). 164–166. 83 indexed citations
14.
Segerman, Anna, Kristina Lindman, Ya-Fang Mei, Annika Allard, & Göran Wadell. (2006). Adenovirus types 11p and 35 attach to and infect primary lymphocytes and monocytes, but hexon expression in T-cells requires prior activation. Virology. 349(1). 96–111. 11 indexed citations
16.
Mei, Ya-Fang, et al.. (2004). Human hematopoietic (CD34+) stem cells possess high-affinity receptors for adenovirus type 11p. Virology. 328(2). 198–207. 14 indexed citations
17.
Mei, Ya-Fang, Kristina Lindman, & Göran Wadell. (2002). Human Adenoviruses of Subgenera B, C, and E with Various Tropisms Differ in Both Binding to and Replication in the Epithelial A549 and 293 Cells. Virology. 295(1). 30–43. 29 indexed citations
18.
Mei, Ya-Fang & Göran Wadell. (1996). Epitopes and hemagglutination binding domain on subgenus B:2 adenovirus fibers. Journal of Virology. 70(6). 3688–3697. 27 indexed citations
19.
Mei, Ya-Fang & Göran Wadell. (1995). Molecular Determinants of Adenovirus Tropism. Current topics in microbiology and immunology. 199 ( Pt 3). 213–228. 24 indexed citations
20.
Mei, Ya-Fang & Göran Wadell. (1993). Hemagglutination Properties and Nucleotide Sequence Analysis of the Fiber Gene of Adenovirus Genome Types 11p and 11a. Virology. 194(2). 453–462. 35 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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