Christilyn Graff
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Developmental Neuroscience top 2%
- Immunology top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- K. Dane WittrupYik A. YeungJeffrey S. SwersDavid W. ColbySha MiEllen A. GarberMichael J. FeldhausRobert W. Siegel
- Topics
- Glycosylation and Glycoproteins Research (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)HER2/EGFR in Cancer Research (3 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
Christilyn Graff
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 806
- Radiology, Nuclear Medicine and Imaging 709
- Developmental Neuroscience 222
- Immunology 218
- Pathology and Forensic Medicine 181
Countries citing papers authored by Christilyn Graff
This map shows the geographic impact of Christilyn Graff'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 Christilyn Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christilyn Graff more than expected).
Fields of papers citing papers by Christilyn Graff
This network shows the impact of papers produced by Christilyn Graff. 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 Christilyn Graff. The network helps show where Christilyn Graff may publish in the future.
Co-authorship network of co-authors of Christilyn Graff
This figure shows the co-authorship network connecting the top 25 collaborators of Christilyn Graff. A scholar is included among the top collaborators of Christilyn Graff 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 Christilyn Graff. Christilyn Graff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 5 | |
| 3 | 86 | |
| 4 | 382 | |
| 5 | BIIB022, a fully human nonglycosylated γ4P antibody targeting IGF-1R for cancer therapy | 7 |
| 6 | 1 | |
| 7 | 105 | |
| 8 | 114 | |
| 9 | 396 | |
| 10 | Theoretical analysis of antibody targeting of tumor spheroids: importance of dosage for penetration, and affinity for retention. | 167 |
About Christilyn Graff
Christilyn Graff is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Developmental Neuroscience (222 citations), Radiology, Nuclear Medicine and Imaging (709 citations) and Biotechnology (125 citations). Christilyn Graff has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include K. Dane Wittrup, Yik A. Yeung, Jeffrey S. Swers, David W. Colby, Sha Mi, Ellen A. Garber, Michael J. Feldhaus, Robert W. Siegel, James R. Coleman and Jennifer R. Cochran. Their work appears in journals such as Nature Medicine, Nature Biotechnology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.