Daniel Kenney‐Jung
- Psychiatry and Mental health top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Neurology top 10%
- Co-authors
- Elaine WirrellRobert J. KahoudMai‐Lan HoEric T. PayneCharles L. HoweTheresa Wampler MuskardinAnnamaria VezzaniReghann G. LaFrance‐Corey
- Topics
- Peroxisome Proliferator-Activated Receptors (7 papers)Metabolism and Genetic Disorders (5 papers)Epilepsy research and treatment (5 papers)
- Journals
- BloodNeurologyAnnals of Neurology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniel Kenney‐Jung
36 papers receiving 688 citations
Peers
Comparison fields: 5 of 94
- Psychiatry and Mental health 302
- Molecular Biology 190
- Cellular and Molecular Neuroscience 125
- Pediatrics, Perinatology and Child Health 117
- Neurology 114
Countries citing papers authored by Daniel Kenney‐Jung
This map shows the geographic impact of Daniel Kenney‐Jung'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 Daniel Kenney‐Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kenney‐Jung more than expected).
Fields of papers citing papers by Daniel Kenney‐Jung
This network shows the impact of papers produced by Daniel Kenney‐Jung. 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 Daniel Kenney‐Jung. The network helps show where Daniel Kenney‐Jung may publish in the future.
Co-authorship network of co-authors of Daniel Kenney‐Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kenney‐Jung. A scholar is included among the top collaborators of Daniel Kenney‐Jung 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 Daniel Kenney‐Jung. Daniel Kenney‐Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 51 | |
| 11 | 25 | |
| 12 | 22 | |
| 13 | 29 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 57 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 27 |
About Daniel Kenney‐Jung
Daniel Kenney‐Jung is a scholar working on Health Informatics, Clinical Biochemistry and Neurology, having authored 36 papers that have together received 700 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Metabolism and Genetic Disorders (5 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Psychiatry and Mental health (302 citations), Neurology (114 citations) and Clinical Biochemistry (71 citations). Daniel Kenney‐Jung has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Elaine Wirrell, Robert J. Kahoud, Mai‐Lan Ho, Eric T. Payne, Charles L. Howe, Theresa Wampler Muskardin, Annamaria Vezzani, Reghann G. LaFrance‐Corey, Eduardo E. Benarroch and Adam Wallace. Their work appears in journals such as Blood, Neurology and Annals of Neurology.
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.