Jeffrey G. Williams
- Molecular Biology top 2%
- Cell Biology top 0.2%
- Biomedical Engineering top 10%
- Oncology top 10%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Masashi FukuzawaSheldon PenmanKeith A. JermynTomoaki AbeTsuyoshi ArakiAnne EarlyRobert M. KayCatherine J. Pears
- Topics
- Cellular Mechanics and Interactions (67 papers)Microtubule and mitosis dynamics (27 papers)Heat shock proteins research (15 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Jeffrey G. Williams
132 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.7k
- Cell Biology 2.4k
- Biomedical Engineering 443
- Oncology 427
- Ecology, Evolution, Behavior and Systematics 388
Countries citing papers authored by Jeffrey G. Williams
This map shows the geographic impact of Jeffrey G. Williams'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 Jeffrey G. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey G. Williams more than expected).
Fields of papers citing papers by Jeffrey G. Williams
This network shows the impact of papers produced by Jeffrey G. Williams. 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 Jeffrey G. Williams. The network helps show where Jeffrey G. Williams may publish in the future.
Co-authorship network of co-authors of Jeffrey G. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Williams. A scholar is included among the top collaborators of Jeffrey G. Williams 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 Jeffrey G. Williams. Jeffrey G. Williams 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 | 12 | |
| 3 | 7 | |
| 4 | 21 | |
| 5 | 2 | |
| 6 | Abstract 5936: Inhibition of Type 5 Adenylyl Cyclase Rescues Cardiomyopathy Induced by Overexpressed beta2-Adrenergic Receptors in the Heart | 1 |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 38 | |
| 10 | 11 | |
| 11 | 93 | |
| 12 | 9 | |
| 13 | Promoting bicycle commuting: Understanding the customer | 19 |
| 14 | 18 | |
| 15 | 119 | |
| 16 | 30 | |
| 17 | 72 | |
| 18 | 16 | |
| 19 | 35 | |
| 20 | 86 |
About Jeffrey G. Williams
Jeffrey G. Williams is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 136 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (67 papers), Microtubule and mitosis dynamics (27 papers) and Heat shock proteins research (15 papers). The work is most often cited by research in Cell Biology (2.4k citations), Aging (224 citations) and Molecular Biology (2.7k citations). Jeffrey G. Williams has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Masashi Fukuzawa, Sheldon Penman, Keith A. Jermyn, Tomoaki Abe, Tsuyoshi Araki, Anne Early, Robert M. Kay, Catherine J. Pears, Adriano Ceccarelli and Adrian J. Harwood. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.