Gabe Marx
Impact in
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
-
- Dementia and Cognitive Impairment Research 4
-
- Neurobiology of Language and Bilingualism 2
- Functional Brain Connectivity Studies 2
- Co-authors
- Bruce L. Miller (6 shared papers)Joel H. Kramer (7 shared papers)Howard J. Rosen (5 shared papers)Wilfried Briest (2 shared papers)Alexander Deten (2 shared papers)Heinz‐Gerd Zimmer (2 shared papers)H. Christian Volz (1 shared paper)Sabine Leiblein (1 shared paper)
- Journals
- NeuroImage Clinical (2 papers)Cardiovascular Research (2 papers)Neurology (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Gabe Marx
13 papers receiving 367 citations
Peers
Comparison fields: 5 of 58
- Psychiatry and Mental health 74
- Nephrology 35
- Genetics 46
- Cognitive Neuroscience 83
- Neurology 41
Countries citing papers authored by Gabe Marx
This map shows the geographic impact of Gabe Marx'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 Gabe Marx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabe Marx more than expected).
Fields of papers citing papers by Gabe Marx
This network shows the impact of papers produced by Gabe Marx. 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 Gabe Marx. The network helps show where Gabe Marx may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabe Marx, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 80 | |
| 2 | 2019 | 75 | |
| 3 | 2016 | 54 | |
| 4 | 2020 | 40 | |
| 5 | 2017 | 33 | |
| 6 | 2017 | 28 | |
| 7 | 2020 | 17 | |
| 8 | 2004 | 16 | |
| 9 | 2008 | 13 | |
| 10 | 2005 | 9 | |
| 11 | 2017 | 6 | |
| 12 | 2018 | 2 | |
| 13 | 2020 | 1 |
About Gabe Marx
Gabe Marx is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 13 papers that have together received 374 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (4 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiac and Coronary Surgery Techniques (2 papers), Neurobiology of Language and Bilingualism (2 papers), Neurological and metabolic disorders (2 papers), Functional Brain Connectivity Studies (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (74 citations), Nephrology (35 citations), Genetics (46 citations), Cognitive Neuroscience (83 citations) and Neurology (41 citations). Gabe Marx has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Bruce L. Miller, Joel H. Kramer, Howard J. Rosen, Wilfried Briest, Alexander Deten, Heinz‐Gerd Zimmer, H. Christian Volz, Sabine Leiblein, John Kornak and Jesse A. Brown. Their work appears in journals such as NeuroImage Clinical, Cardiovascular Research, Neurology, Journal of Thoracic and Cardiovascular Surgery and Medical Image Analysis.
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.