Jennifer Kim
- Cognitive Neuroscience top 1%
- Physiology top 1%
- Psychiatry and Mental health top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Kirk I. EricksonArthur F. KramerRuchika Shaurya PrakashEdward McAuleyMichelle W. VossLaura ChaddockAmanda N. Szabo‐ReedHeloisa Alves
- Topics
- Functional Brain Connectivity Studies (6 papers)Neural and Behavioral Psychology Studies (5 papers)Memory and Neural Mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPEDIATRICS
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Jennifer Kim
43 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 2.2k
- Physiology 1.7k
- Psychiatry and Mental health 1.7k
- Cardiology and Cardiovascular Medicine 800
- Radiology, Nuclear Medicine and Imaging 710
Countries citing papers authored by Jennifer Kim
This map shows the geographic impact of Jennifer Kim'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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Kim more than expected).
Fields of papers citing papers by Jennifer Kim
This network shows the impact of papers produced by Jennifer Kim. 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 Kim. The network helps show where Jennifer Kim may publish in the future.
Co-authorship network of co-authors of Jennifer Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kim. A scholar is included among the top collaborators of Jennifer Kim 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 Kim. Jennifer Kim 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 | 3 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 51 | |
| 6 | 48 | |
| 7 | 20 | |
| 8 | 314 | |
| 9 | Exercise training increases size of hippocampus and improves memorybreakdown → | 3286 |
| 10 | 113 | |
| 11 | 29 | |
| 12 | 209 | |
| 13 | 16 | |
| 14 | 94 | |
| 15 | 2 | |
| 16 | 16 | |
| 17 | 221 | |
| 18 | 174 | |
| 19 | 24 | |
| 20 | 47 |
About Jennifer Kim
Jennifer Kim is a scholar working on Cognitive Neuroscience, Immunology and Allergy and Applied Psychology, having authored 48 papers that have together received 7.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural and Behavioral Psychology Studies (5 papers) and Memory and Neural Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (528 citations), Cognitive Neuroscience (2.2k citations) and Psychiatry and Mental health (1.7k citations). Jennifer Kim has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Kirk I. Erickson, Arthur F. Kramer, Ruchika Shaurya Prakash, Edward McAuley, Michelle W. Voss, Laura Chaddock, Amanda N. Szabo‐Reed, Heloisa Alves, Thomas R. Wójcicki and Stanley J. Colcombe. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PEDIATRICS.
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.