Jennifer M. Pocock
- Neurology top 0.1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Immunology top 2%
- Co-authors
- Helmut KettenmannDeanna L. TaylorJohn HardyPaul J. KinghamDavid G. NichollsThomas M. PiersM. L. CuznerClaudie Hooper
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (51 papers)Neuroscience and Neuropharmacology Research (31 papers)Alzheimer's disease research and treatments (20 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jennifer M. Pocock
87 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Neurology 2.4k
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 1.5k
- Physiology 1.1k
- Immunology 1.1k
Countries citing papers authored by Jennifer M. Pocock
This map shows the geographic impact of Jennifer M. Pocock'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 Jennifer M. Pocock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Pocock more than expected).
Fields of papers citing papers by Jennifer M. Pocock
This network shows the impact of papers produced by Jennifer M. Pocock. 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 Jennifer M. Pocock. The network helps show where Jennifer M. Pocock may publish in the future.
Co-authorship network of co-authors of Jennifer M. Pocock
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Pocock. A scholar is included among the top collaborators of Jennifer M. Pocock 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 Jennifer M. Pocock. Jennifer M. Pocock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 75 | |
| 3 | 122 | |
| 4 | 14 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 138 | |
| 8 | 65 | |
| 9 | 69 | |
| 10 | FIBRIN AND FIBRINOGEN CAUSE NEURON NON-CELL AUTONOMOUS DEGENERATION | 1 |
| 11 | 48 | |
| 12 | 19 | |
| 13 | 144 | |
| 14 | 276 | |
| 15 | 77 | |
| 16 | 95 | |
| 17 | 48 | |
| 18 | 1 | |
| 19 | 38 | |
| 20 | 55 |
About Jennifer M. Pocock
Jennifer M. Pocock is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 88 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (51 papers), Neuroscience and Neuropharmacology Research (31 papers) and Alzheimer's disease research and treatments (20 papers). The work is most often cited by research in Neurology (2.4k citations), Biological Psychiatry (365 citations) and Developmental Neuroscience (419 citations). Jennifer M. Pocock has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Helmut Kettenmann, Deanna L. Taylor, John Hardy, Paul J. Kingham, David G. Nicholls, Thomas M. Piers, M. L. Cuzner, Claudie Hooper, Helen Crehan and Pablo Garcia-Reitboeck. Their work appears in journals such as Journal of Neuroscience, Nature reviews. Neuroscience and Brain.
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.