Jennifer Jones
- Cognitive Neuroscience top 2%
- Physiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Psychiatry and Mental health top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Piero AntuonoB. Douglas WardMalgorzata FranczakChunming XieGang ChenShi‐Jiang LiJoseph S. GoveasWenjun Li
- Topics
- Functional Brain Connectivity Studies (16 papers)Dementia and Cognitive Impairment Research (10 papers)Advanced MRI Techniques and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Jennifer Jones
84 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 930
- Physiology 424
- Radiology, Nuclear Medicine and Imaging 374
- Psychiatry and Mental health 344
- Cardiology and Cardiovascular Medicine 270
Countries citing papers authored by Jennifer Jones
This map shows the geographic impact of Jennifer Jones'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 Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Jones more than expected).
Fields of papers citing papers by Jennifer Jones
This network shows the impact of papers produced by Jennifer Jones. 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 Jones. The network helps show where Jennifer Jones may publish in the future.
Co-authorship network of co-authors of Jennifer Jones
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Jones. A scholar is included among the top collaborators of Jennifer Jones 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 Jones. Jennifer Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 57 | |
| 9 | 25 | |
| 10 | 21 | |
| 11 | 20 | |
| 12 | 49 | |
| 13 | 30 | |
| 14 | 88 | |
| 15 | 74 | |
| 16 | 141 | |
| 17 | 34 | |
| 18 | 18 | |
| 19 | 37 | |
| 20 | 12 |
About Jennifer Jones
Jennifer Jones is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Dementia and Cognitive Impairment Research (10 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Cognitive Neuroscience (930 citations), Biological Psychiatry (91 citations) and Psychiatry and Mental health (344 citations). Jennifer Jones has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Piero Antuono, B. Douglas Ward, Malgorzata Franczak, Chunming Xie, Gang Chen, Shi‐Jiang Li, Joseph S. Goveas, Wenjun Li, Zhilin Wu and Hugh Garavan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.