Stephen Connelly
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Organic Chemistry top 5%
- Oncology top 5%
- Physiology top 5%
- Co-authors
- Jeffery W. KellyIan A. WilsonSteven M. JohnsonEvan T. PowersSungwook ChoiColleen FearnsR. Luke WisemanJeff Packman
- Topics
- Protein Kinase Regulation and GTPase Signaling (8 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Stephen Connelly
40 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.9k
- Infectious Diseases 504
- Organic Chemistry 495
- Oncology 478
- Physiology 451
Countries citing papers authored by Stephen Connelly
This map shows the geographic impact of Stephen Connelly'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 Connelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Connelly more than expected).
Fields of papers citing papers by Stephen Connelly
This network shows the impact of papers produced by Stephen Connelly. 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 Connelly. The network helps show where Stephen Connelly may publish in the future.
Co-authorship network of co-authors of Stephen Connelly
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Connelly. A scholar is included among the top collaborators of Stephen Connelly 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 Connelly. Stephen Connelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 75 | |
| 6 | 6 | |
| 7 | 144 | |
| 8 | 38 | |
| 9 | 15 | |
| 10 | 257 | |
| 11 | 5 | |
| 12 | A structural analysis of M protein in coronavirus assembly and morphologybreakdown → | 576 |
| 13 | 143 | |
| 14 | 63 | |
| 15 | 78 | |
| 16 | 50 | |
| 17 | 63 | |
| 18 | 53 | |
| 19 | 9 | |
| 20 | 10 |
About Stephen Connelly
Stephen Connelly is a scholar working on Cell Biology, Immunology and Molecular Biology, having authored 40 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Infectious Diseases (504 citations) and Cell Biology (397 citations). Stephen Connelly has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Jeffery W. Kelly, Ian A. Wilson, Steven M. Johnson, Evan T. Powers, Sungwook Choi, Colleen Fearns, R. Luke Wiseman, Jeff Packman, Michael J. DeVit and James Fleming. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.