Stephen G. Chamberlin
- Co-authors
- Donna E. DaviesSteven A. BennerDavid A. LiberlesSridhar GovindarajanSarah M. PuddicombeZunyi YangFei ChenLynn Wood
- Topics
- HER2/EGFR in Cancer Research (9 papers)Glycosylation and Glycoproteins Research (7 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Cited by
- Molecular BiologyAgingGenetics
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionApplied and Environmental Microbiology
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Stephen G. Chamberlin
23 papers receiving 726 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 549
- Genetics 149
- Oncology 136
- Radiology, Nuclear Medicine and Imaging 64
- Cell Biology 47
Countries citing papers authored by Stephen G. Chamberlin
This map shows the geographic impact of Stephen G. Chamberlin'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 Stephen G. Chamberlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. Chamberlin more than expected).
Fields of papers citing papers by Stephen G. Chamberlin
This network shows the impact of papers produced by Stephen G. Chamberlin. 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 Stephen G. Chamberlin. The network helps show where Stephen G. Chamberlin may publish in the future.
Co-authorship network of co-authors of Stephen G. Chamberlin
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. Chamberlin. A scholar is included among the top collaborators of Stephen G. Chamberlin 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 Stephen G. Chamberlin. Stephen G. Chamberlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 65 | |
| 3 | 102 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 59 | |
| 7 | 73 | |
| 8 | 7 | |
| 9 | 48 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 40 | |
| 13 | 26 | |
| 14 | 94 | |
| 15 | 12 | |
| 16 | 48 | |
| 17 | 30 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | 18 |
About Stephen G. Chamberlin
Stephen G. Chamberlin is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 746 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Glycosylation and Glycoproteins Research (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Molecular Biology (549 citations), Aging (10 citations) and Genetics (149 citations). Stephen G. Chamberlin has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Donna E. Davies, Steven A. Benner, David A. Liberles, Sridhar Govindarajan, Sarah M. Puddicombe, Zunyi Yang, Fei Chen, Lynn Wood, Audrey Richter and Thomas J. Lyons. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Applied and Environmental Microbiology.
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.