John Calley
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 10%
Papers in
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- Developmental Biology and Gene Regulation 5
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Peroxisome Proliferator-Activated Receptors 2
-
- MicroRNA in disease regulation 3
- Co-authors
- Lynn Manseau (3 shared papers)Huy Phan (1 shared paper)Hanna Phan (1 shared paper)Wan‐Jin Chen (1 shared paper)John R. Jungck (2 shared papers)Peter Tolias (1 shared paper)Andrea J. Wellington (1 shared paper)Rosamund C. Smith (2 shared papers)
- Journals
- Developmental Dynamics (2 papers)Cancer Research (2 papers)Development (2 papers)BMC Genomics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesNetherlandsSingapore
In The Last Decade
John Calley
26 papers receiving 876 citations
Peers
Comparison fields: 5 of 115
- Cell Biology 252
- Aging 20
- Molecular Biology 524
- Cancer Research 77
- Biochemistry 33
Countries citing papers authored by John Calley
This map shows the geographic impact of John Calley'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 John Calley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Calley more than expected).
Fields of papers citing papers by John Calley
This network shows the impact of papers produced by John Calley. 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 John Calley. The network helps show where John Calley may publish in the future.
Co-authors
The 25 scholars most cited alongside John Calley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 144 | |
| 2 | 1996 | 139 | |
| 3 | 2013 | 99 | |
| 4 | 1999 | 71 | |
| 5 | 2008 | 61 | |
| 6 | 2016 | 48 | |
| 7 | 2003 | 43 | |
| 8 | 1985 | 40 | |
| 9 | 2005 | 39 | |
| 10 | 2004 | 32 | |
| 11 | 2007 | 31 | |
| 12 | 2016 | 29 | |
| 13 | 2011 | 26 | |
| 14 | 2020 | 23 | |
| 15 | 2018 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2018 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 1994 | 6 | |
| 20 | 2020 | 5 |
About John Calley
John Calley is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Surgery, having authored 26 papers that have together received 904 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), MicroRNA in disease regulation (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Microtubule and mitosis dynamics (2 papers), Cellular Mechanics and Interactions (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cell Biology (252 citations), Aging (20 citations), Molecular Biology (524 citations), Cancer Research (77 citations) and Biochemistry (33 citations). John Calley has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Lynn Manseau, Huy Phan, Hanna Phan, Wan‐Jin Chen, John R. Jungck, Peter Tolias, Andrea J. Wellington, Rosamund C. Smith, Anton W. Neff and Michael W. King. Their work appears in journals such as Developmental Dynamics, Cancer Research, Development, BMC Genomics 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.