Danlin Yang
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Protein purification and stability
- Glycosylation and Glycoproteins Research
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Viral Infectious Diseases and Gene Expression in Insects
Papers in ⓘ
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- Monoclonal and Polyclonal Antibodies Research 13
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Rachel Kroe‐Barrett (10 shared papers)Sanjaya Singh (7 shared papers)Thomas M. Laue (3 shared papers)Ajit Singh (3 shared papers)Christopher J. Roberts (2 shared papers)Marcio O. Lasaro (2 shared papers)John J. Correia (1 shared paper)Jingchuan Xue (2 shared papers)
- Journals
- mAbs (3 papers)Blood (2 papers)Journal of Visualized Experiments (2 papers)Cancer Research (1 paper)Data in Brief (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Danlin Yang
14 papers receiving 371 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 188
- Molecular Biology 247
- Immunology 68
- Bioengineering 11
- Hematology 21
Countries citing papers authored by Danlin Yang
This map shows the geographic impact of Danlin Yang'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 Danlin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlin Yang more than expected).
Fields of papers citing papers by Danlin Yang
This network shows the impact of papers produced by Danlin Yang. 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 Danlin Yang. The network helps show where Danlin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danlin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2019 | 79 | |
| 3 | 2017 | 57 | |
| 4 | 2018 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2017 | 22 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2016 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 0 |
About Danlin Yang
Danlin Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Hematology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein purification and stability (5 papers), Advanced Biosensing Techniques and Applications (4 papers), T-cell and B-cell Immunology (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Nanofabrication and Lithography Techniques (2 papers), Immunotherapy and Immune Responses (2 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (188 citations), Molecular Biology (247 citations), Immunology (68 citations), Bioengineering (11 citations) and Hematology (21 citations). Danlin Yang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Rachel Kroe‐Barrett, Sanjaya Singh, Thomas M. Laue, Ajit Singh, Christopher J. Roberts, Marcio O. Lasaro, John J. Correia, Jingchuan Xue, Walter F. Stafford and Andrew E. Nixon. Their work appears in journals such as mAbs, Blood, Journal of Visualized Experiments, Cancer Research and Data in Brief.
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.