James G. Wakefield
- Molecular Biology top 10%
- Cell Biology top 1%
- Plant Science top 10%
- Oncology
- Genetics
- Co-authors
- Jordan W. RaffMaurizio GattiSilvia BonaccorsiGraham J. ButtrickJeremy M. TavaréDavid StephensFanni GergelyJeremy Metz
- Topics
- Microtubule and mitosis dynamics (28 papers)Genomics and Chromatin Dynamics (13 papers)Epigenetics and DNA Methylation (6 papers)
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
James G. Wakefield
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.0k
- Cell Biology 797
- Plant Science 194
- Oncology 92
- Genetics 92
Countries citing papers authored by James G. Wakefield
This map shows the geographic impact of James G. Wakefield'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 James G. Wakefield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Wakefield more than expected).
Fields of papers citing papers by James G. Wakefield
This network shows the impact of papers produced by James G. Wakefield. 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 James G. Wakefield. The network helps show where James G. Wakefield may publish in the future.
Co-authorship network of co-authors of James G. Wakefield
This figure shows the co-authorship network connecting the top 25 collaborators of James G. Wakefield. A scholar is included among the top collaborators of James G. Wakefield 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 James G. Wakefield. James G. Wakefield 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 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 20 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 71 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 45 | |
| 15 | 93 | |
| 16 | 3 | |
| 17 | 45 | |
| 18 | 131 | |
| 19 | 67 | |
| 20 | 179 |
About James G. Wakefield
James G. Wakefield is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (28 papers), Genomics and Chromatin Dynamics (13 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cell Biology (797 citations), Molecular Biology (1.0k citations) and Aging (20 citations). James G. Wakefield has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Jordan W. Raff, Maurizio Gatti, Silvia Bonaccorsi, Graham J. Buttrick, Jeremy M. Tavaré, David Stephens, Fanni Gergely, Jeremy Metz, Daniel Hayward and Jun-Yong Huang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Genes & Development.
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.