George S. Campbell
- Oncology top 2%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- Christin Carter‐SuLawrence S. ArgetsingerDebra J. MeyerJessica SchwartzRichard JoveChao‐Lan YuBruce A. WitthuhnOlli Silvennoinen
- Topics
- Growth Hormone and Insulin-like Growth Factors (12 papers)Cytokine Signaling Pathways and Interactions (7 papers)Amino Acid Enzymes and Metabolism (4 papers)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
George S. Campbell
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 1.7k
- Molecular Biology 1.4k
- Endocrinology, Diabetes and Metabolism 1.1k
- Immunology 660
- Cancer Research 468
Countries citing papers authored by George S. Campbell
This map shows the geographic impact of George S. Campbell'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 George S. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George S. Campbell more than expected).
Fields of papers citing papers by George S. Campbell
This network shows the impact of papers produced by George S. Campbell. 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 George S. Campbell. The network helps show where George S. Campbell may publish in the future.
Co-authorship network of co-authors of George S. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of George S. Campbell. A scholar is included among the top collaborators of George S. Campbell 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 George S. Campbell. George S. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 8 | |
| 4 | 37 | |
| 5 | 81 | |
| 6 | 64 | |
| 7 | 40 | |
| 8 | 159 | |
| 9 | Enhanced DNA-Binding Activity of a Stat3-Related Protein in Cells Transformed by the Src Oncoproteinbreakdown → | 813 |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 156 | |
| 13 | 189 | |
| 14 | Identification of JAK2 as a growth hormone receptor-associated tyrosine kinasebreakdown → | 821 |
| 15 | 53 | |
| 16 | 144 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 26 |
About George S. Campbell
George S. Campbell is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Oncology, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Oncology (1.7k citations) and Immunology (660 citations). George S. Campbell has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Christin Carter‐Su, Lawrence S. Argetsinger, Debra J. Meyer, Jessica Schwartz, Richard Jove, Chao‐Lan Yu, Bruce A. Witthuhn, Olli Silvennoinen, Andrew C. Larner and J. A. Rillema. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.