An Song
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 5%
- Biosimilars and Bioanalytical Methods
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Immunology 20
- Biosimilars and Bioanalytical Methods 8
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
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- Advanced Biosensing Techniques and Applications 5
- Protein purification and stability 5
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Martin Vanderlaan (2 shared papers)Yaning Wang (1 shared paper)Shan Chung (8 shared papers)Maureen A. Harrington (3 shared papers)Alan M. Krensky (4 shared papers)Tania Nikolcheva (3 shared papers)Qi Wang (1 shared paper)Mark G. Goebl (1 shared paper)
- Journals
- Journal of Immunological Methods (6 papers)Medicine (5 papers)mAbs (4 papers)Bioanalysis (4 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
An Song
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 667
- Immunology 585
- Molecular Biology 1.0k
- Oncology 354
- Ophthalmology 69
Countries citing papers authored by An Song
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
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-authors
The 25 scholars most cited alongside An Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 359 | |
| 2 | 2011 | 258 | |
| 3 | 1993 | 147 | |
| 4 | 1998 | 145 | |
| 5 | 2012 | 108 | |
| 6 | 2011 | 95 | |
| 7 | 2016 | 95 | |
| 8 | 2000 | 79 | |
| 9 | 2006 | 62 | |
| 10 | 2002 | 52 | |
| 11 | 2007 | 51 | |
| 12 | 2019 | 51 | |
| 13 | 2014 | 51 | |
| 14 | 2014 | 47 | |
| 15 | 2002 | 44 | |
| 16 | 2019 | 42 | |
| 17 | 2012 | 33 | |
| 18 | 2008 | 24 | |
| 19 | 2010 | 22 | |
| 20 | 1997 | 20 |
About An Song
An Song is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Nephrology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Biosimilars and Bioanalytical Methods (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Advanced Biosensing Techniques and Applications (5 papers), Protein purification and stability (5 papers), CAR-T cell therapy research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (667 citations), Immunology (585 citations), Molecular Biology (1.0k citations), Oncology (354 citations) and Ophthalmology (69 citations). An Song has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Martin Vanderlaan, Yaning Wang, Shan Chung, Maureen A. Harrington, Alan M. Krensky, Tania Nikolcheva, Qi Wang, Mark G. Goebl, Bruce W. Konicek and Thomas Arroll. Their work appears in journals such as Journal of Immunological Methods, Medicine, mAbs, Bioanalysis and Journal of Clinical Investigation.
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.