Daniel Soberanes
Impact in
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- Dementia and Cognitive Impairment Research
Papers in
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- Dementia and Cognitive Impairment Research 9
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- Functional Brain Connectivity Studies 6
- Memory and Neural Mechanisms 1
- Memory Processes and Influences 1
- Co-authors
- Alexander Mathis (1 shared paper)Mackenzie Weygandt Mathis (1 shared paper)Venkatesh N. Murthy (1 shared paper)Steffen Schneider (1 shared paper)Jessy Lauer (1 shared paper)Catherine Dulac (1 shared paper)Mu Zhou (1 shared paper)Mohammed Mostafizur Rahman (1 shared paper)
- Journals
- Alzheimer s & Dementia (4 papers)Nature Methods (1 paper)Neuropsychology (1 paper)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)Annals of Neurology (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Daniel Soberanes
9 papers receiving 351 citations
Daniel Soberanes's Hit Papers
Peers
Comparison fields: 5 of 95
- Developmental Biology 14
- Psychiatry and Mental health 74
- Cognitive Neuroscience 83
- Behavioral Neuroscience 14
- Small Animals 28
Countries citing papers authored by Daniel Soberanes
This map shows the geographic impact of Daniel Soberanes'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 Soberanes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soberanes more than expected).
Fields of papers citing papers by Daniel Soberanes
This network shows the impact of papers produced by Daniel Soberanes. 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 Soberanes. The network helps show where Daniel Soberanes may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Soberanes, 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 | Multi-animal pose estimation, identification and tracking with DeepLabCut Hit paper breakdown → | 2022 | 264 |
| 2 | 2021 | 47 | |
| 3 | 2023 | 23 | |
| 4 | 2023 | 12 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2025 | 0 |
About Daniel Soberanes
Daniel Soberanes is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Critical Care and Intensive Care Medicine, having authored 10 papers that have together received 354 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (9 papers), Functional Brain Connectivity Studies (6 papers), Health, Environment, Cognitive Aging (3 papers), Cancer-related cognitive impairment studies (3 papers), Memory and Neural Mechanisms (1 paper), Memory Processes and Influences (1 paper), Video Surveillance and Tracking Methods (1 paper) and Cognitive Science and Mapping (1 paper). The work is most often cited by research in Developmental Biology (14 citations), Psychiatry and Mental health (74 citations), Cognitive Neuroscience (83 citations), Behavioral Neuroscience (14 citations) and Small Animals (28 citations). Daniel Soberanes has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Alexander Mathis, Mackenzie Weygandt Mathis, Venkatesh N. Murthy, Steffen Schneider, Jessy Lauer, Catherine Dulac, Mu Zhou, Mohammed Mostafizur Rahman, George Lauder and Tanmay Nath. Their work appears in journals such as Alzheimer s & Dementia, Nature Methods, Neuropsychology, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 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.