Arthur J. Campbell
- Molecular Biology
- Genetics top 10%
- Computational Theory and Mathematics top 5%
- Oncology
- Organic Chemistry
- Co-authors
- Diane Joseph‐McCarthyCarlos SimmerlingChristina BergonzoDemetri T. MoustakasGünther KernCarlos de los SantosArthur P. GrollmanMichelle L. Lamb
- Topics
- RNA and protein synthesis mechanisms (8 papers)Genomics and Rare Diseases (7 papers)DNA and Nucleic Acid Chemistry (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesGermanyLuxembourg
In The Last Decade
Arthur J. Campbell
22 papers receiving 785 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 644
- Genetics 195
- Computational Theory and Mathematics 101
- Oncology 69
- Organic Chemistry 64
Countries citing papers authored by Arthur J. Campbell
This map shows the geographic impact of Arthur J. 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 Arthur J. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur J. Campbell more than expected).
Fields of papers citing papers by Arthur J. Campbell
This network shows the impact of papers produced by Arthur J. 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 Arthur J. Campbell. The network helps show where Arthur J. Campbell may publish in the future.
Co-authorship network of co-authors of Arthur J. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur J. Campbell. A scholar is included among the top collaborators of Arthur J. 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 Arthur J. Campbell. Arthur J. 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 | 5 | |
| 2 | 11 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 80 | |
| 9 | 13 | |
| 10 | 58 | |
| 11 | 22 | |
| 12 | 61 | |
| 13 | 63 | |
| 14 | 52 | |
| 15 | 18 | |
| 16 | 44 | |
| 17 | 98 | |
| 18 | 32 | |
| 19 | 46 | |
| 20 | Recombination and modular exchange in the genesis of new lambdoid phages. | 32 |
About Arthur J. Campbell
Arthur J. Campbell is a scholar working on Genetics, Molecular Biology and Molecular Medicine, having authored 23 papers that have together received 803 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Rare Diseases (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Molecular Biology (644 citations), Molecular Medicine (46 citations) and Genetics (195 citations). Arthur J. Campbell has collaborated with scholars based in United States, Germany and Luxembourg. Frequent co-authors include Diane Joseph‐McCarthy, Carlos Simmerling, Christina Bergonzo, Demetri T. Moustakas, Günther Kern, Carlos de los Santos, Arthur P. Grollman, Michelle L. Lamb, Sumaiya Iqbal and Florence F. Wagner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.