Kenneth G. Campellone
- Molecular Biology top 10%
- Endocrinology top 0.2%
- Cell Biology top 1%
- Genetics top 2%
- Infectious Diseases top 5%
- Co-authors
- Matthew D. WelchKenan C. MurphyJohn M. LeongDouglas R. RobbinsAnthony R. PoteeteElizabeth A. ZnameroskiJan HänischKlemens Rottner
- Topics
- Escherichia coli research studies (17 papers)Bacterial Genetics and Biotechnology (13 papers)Cellular Mechanics and Interactions (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kenneth G. Campellone
31 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.2k
- Endocrinology 1.1k
- Cell Biology 905
- Genetics 824
- Infectious Diseases 478
Countries citing papers authored by Kenneth G. Campellone
This map shows the geographic impact of Kenneth G. Campellone'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 Kenneth G. Campellone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth G. Campellone more than expected).
Fields of papers citing papers by Kenneth G. Campellone
This network shows the impact of papers produced by Kenneth G. Campellone. 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 Kenneth G. Campellone. The network helps show where Kenneth G. Campellone may publish in the future.
Co-authorship network of co-authors of Kenneth G. Campellone
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth G. Campellone. A scholar is included among the top collaborators of Kenneth G. Campellone 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 Kenneth G. Campellone. Kenneth G. Campellone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 16 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 13 | |
| 11 | 80 | |
| 12 | A nucleator arms race: cellular control of actin assemblybreakdown → | 708 |
| 13 | 204 | |
| 14 | 40 | |
| 15 | 51 | |
| 16 | 74 | |
| 17 | 39 | |
| 18 | 245 | |
| 19 | 22 | |
| 20 | 244 |
About Kenneth G. Campellone
Kenneth G. Campellone is a scholar working on Endocrinology, Cell Biology and Molecular Medicine, having authored 33 papers that have together received 2.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (17 papers), Bacterial Genetics and Biotechnology (13 papers) and Cellular Mechanics and Interactions (7 papers). The work is most often cited by research in Endocrinology (1.1k citations), Cell Biology (905 citations) and Molecular Medicine (156 citations). Kenneth G. Campellone has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Matthew D. Welch, Kenan C. Murphy, John M. Leong, Douglas R. Robbins, Anthony R. Poteete, Elizabeth A. Znameroski, Jan Hänisch, Klemens Rottner, Michael J. Brady and Donald J. Tipper. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Reviews Molecular Cell Biology.
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.