An Song

2.8k total citations
39 papers, 1.8k citations indexed

About

An Song is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, An Song has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 19 papers in Molecular Biology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in An Song's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Biosimilars and Bioanalytical Methods (9 papers) and T-cell and B-cell Immunology (7 papers). An Song is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Biosimilars and Bioanalytical Methods (9 papers) and T-cell and B-cell Immunology (7 papers). An Song collaborates with scholars based in United States, Switzerland and China. An Song's co-authors include Martin Vanderlaan, Yaning Wang, Shan Chung, Alan M. Krensky, Maureen A. Harrington, Tania Nikolcheva, Mark G. Goebl, Qi Wang, Bruce W. Konicek and Xiudong Xia and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

An Song

39 papers receiving 1.8k citations

Peers

An Song
Leia M. Smith United States
Jean-Michel Vernes United States
Erika Darrah United States
Mark R. Albertini United States
Magali Schreyer Switzerland
Leia M. Smith United States
An Song
Citations per year, relative to An Song An Song (= 1×) peers Leia M. Smith

Countries citing papers authored by An Song

Since Specialization
Citations

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

Fields of papers citing papers by An Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Song

This figure shows the co-authorship network connecting the top 25 collaborators of An Song. A scholar is included among the top collaborators of An Song 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 An Song. An Song 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.
Kamen, Lynn, et al.. (2019). A novel method for determining antibody-dependent cellular phagocytosis. Journal of Immunological Methods. 468. 55–60. 40 indexed citations
2.
Chung, Shan, Yuwen Linda Lin, Nguyễn Văn Hiệp, et al.. (2018). Development of a label-free FcRn-mediated transcytosis assay for in vitro characterization of FcRn interactions with therapeutic antibodies and Fc-fusion proteins. Journal of Immunological Methods. 462. 101–105. 10 indexed citations
3.
Chung, Shan, Nguyễn Văn Hiệp, Yuwen Linda Lin, Lynn Kamen, & An Song. (2017). Thaw-and-use target cells pre-labeled with calcein AM for antibody-dependent cell-mediated cytotoxicity assays. Journal of Immunological Methods. 447. 37–46. 11 indexed citations
4.
Fischer, Saloumeh K, Melissa Cheu, Kun Peng, et al.. (2016). Specific Immune Response to Phospholipase B-Like 2 Protein, a Host Cell Impurity in Lebrikizumab Clinical Material. The AAPS Journal. 19(1). 254–263. 85 indexed citations
5.
Song, An, Robert L. Hendricks, Shan Chung, et al.. (2016). Immunogenicity with Repeated Dosing of Ocrelizumab in Patients with Multiple Sclerosis (P2.087). Neurology. 86(16_supplement). 7 indexed citations
6.
Peng, Kun, Keyang Xu, Luna Liu, et al.. (2014). Critical role of bioanalytical strategies in investigation of clinical PK observations, a Phase I case study. mAbs. 6(6). 1500–1508. 8 indexed citations
7.
Chung, Shan, Valerie Quarmby, Xiaoying Gao, et al.. (2012). Quantitative evaluation of fucose reducing effects in a humanized antibody on Fcγ receptor binding and antibody-dependent cell-mediated cytotoxicity activities. mAbs. 4(3). 326–340. 101 indexed citations
8.
Fischer, Saloumeh K, Jihong Yang, Banmeet S. Anand, et al.. (2012). The assay design used for measurement of therapeutic antibody concentrations can affect pharmacokinetic parameters. mAbs. 4(5). 623–631. 32 indexed citations
9.
Jiang, Xu‐Rong, An Song, Svetlana Bergelson, et al.. (2011). Advances in the assessment and control of the effector functions of therapeutic antibodies. Nature Reviews Drug Discovery. 10(2). 101–111. 241 indexed citations
10.
Gupta, Shalini, Viswanath Devanarayan, Deborah Finco, et al.. (2011). Recommendations for the validation of cell-based assays used for the detection of neutralizing antibody immune responses elicited against biological therapeutics. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 878–888. 89 indexed citations
11.
Qiu, Zhihua, Yong Ying, Michael Fox, et al.. (2010). A novel homogeneous Biotin–digoxigenin based assay for the detection of human anti-therapeutic antibodies in autoimmune serum. Journal of Immunological Methods. 362(1-2). 101–111. 21 indexed citations
12.
McCutcheon, Krista, Valerie Quarmby, & An Song. (2010). Development and optimization of a cell-based neutralizing antibody assay using a sample pre-treatment step to eliminate serum interference. Journal of Immunological Methods. 358(1-2). 35–45. 13 indexed citations
13.
Stefanich, Eric, et al.. (2008). Evidence for an Asialoglycoprotein Receptor on Nonparenchymal Cells for O-Linked Glycoproteins. Journal of Pharmacology and Experimental Therapeutics. 327(2). 308–315. 23 indexed citations
14.
Vugmeyster, Yulia, Dhaya Seshasayee, Wesley Chang, et al.. (2006). A Soluble BAFF Antagonist, BR3-Fc, Decreases Peripheral Blood B Cells and Lymphoid Tissue Marginal Zone and Follicular B Cells in Cynomolgus Monkeys. American Journal Of Pathology. 168(2). 476–489. 60 indexed citations
15.
Nikolcheva, Tania, Stéphane Pyronnet, Nahum Sonenberg, et al.. (2002). A translational rheostat for RFLAT-1 regulates RANTES expression in T lymphocytes. Journal of Clinical Investigation. 110(1). 119–126. 43 indexed citations
16.
Nikolcheva, Tania, Stéphane Pyronnet, Nahum Sonenberg, et al.. (2002). A translational rheostat for RFLAT-1 regulates RANTES expression in T lymphocytes. Journal of Clinical Investigation. 110(1). 119–126. 51 indexed citations
17.
Song, An, Tania Nikolcheva, & Alan M. Krensky. (2000). Transcriptional regulation of RANTES expression in T lymphocytes. Immunological Reviews. 177(1). 236–245. 76 indexed citations
18.
Song, An, Qi Wang, Mark G. Goebl, & Maureen A. Harrington. (1998). Phosphorylation of Nuclear MyoD Is Required for Its Rapid Degradation. Molecular and Cellular Biology. 18(9). 4994–4999. 141 indexed citations
19.
Harrington, Maureen A., et al.. (1997). Transcriptional regulation of the mouse CSF-1 gene. Molecular Reproduction and Development. 46(1). 39–45. 20 indexed citations
20.
Harrington, Maureen A., et al.. (1992). Interleukin 1 alpha mediated inhibition of myogenic terminal differentiation: increased sensitivity of Ha-ras transformed cultures.. PubMed. 3(4). 241–8. 13 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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