Daniel E. Hernández
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
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- Neuropeptides and Animal Physiology
Papers in
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- Stress Responses and Cortisol 7
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- Neuropeptides and Animal Physiology 31
- Co-authors
- Arthur J. PrangeCharles B. NemeroffGeorge MasonDaniel LuttingerJ. Bruce OvermierRobert MurisonGary B. GlavinWilliam P. Paré
- Journals
- Neuropeptides (4 papers)Annals of the New York Academy of Sciences (4 papers)Brain Research (4 papers)Pharmacology Biochemistry and Behavior (3 papers)Mathematical and Computational Applications (3 papers)
- Partner nations
- United StatesMexicoItaly
In The Last Decade
Daniel E. Hernández
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Behavioral Neuroscience 228
- Cellular and Molecular Neuroscience 617
- Gastroenterology 154
- Reproductive Medicine 128
- Endocrine and Autonomic Systems 102
Countries citing papers authored by Daniel E. Hernández
This map shows the geographic impact of Daniel E. Hernández'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 E. Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Hernández more than expected).
Fields of papers citing papers by Daniel E. Hernández
This network shows the impact of papers produced by Daniel E. Hernández. 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 E. Hernández. The network helps show where Daniel E. Hernández may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Hernández, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 24 | |
| 6 | AutoML for Emotion Recognition in EEG signals | 2021 | 1 |
| 7 | 2021 | 2 | |
| 8 | 2019 | 9 | |
| 9 | 2015 | 12 | |
| 10 | 1990 | 5 | |
| 11 | 1990 | 20 | |
| 12 | 1990 | 11 | |
| 13 | 1990 | 8 | |
| 14 | 1989 | 17 | |
| 15 | 1989 | 1 | |
| 16 | 1988 | 1 | |
| 17 | 1987 | 6 | |
| 18 | 1987 | 8 | |
| 19 | 1987 | 9 | |
| 20 | 1983 | 178 |
About Daniel E. Hernández
Daniel E. Hernández is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Gastroenterology, Reproductive Medicine and Human-Computer Interaction, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (31 papers), Receptor Mechanisms and Signaling (12 papers), Stress Responses and Cortisol (7 papers), Neuroendocrine regulation and behavior (7 papers), Visual Attention and Saliency Detection (6 papers), Neural dynamics and brain function (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Behavioral Neuroscience (228 citations), Cellular and Molecular Neuroscience (617 citations), Gastroenterology (154 citations), Reproductive Medicine (128 citations) and Endocrine and Autonomic Systems (102 citations). Daniel E. Hernández has collaborated with scholars based in United States, Mexico and Italy. Frequent co-authors include Arthur J. Prange, Charles B. Nemeroff, George Mason, Daniel Luttinger, J. Bruce Overmier, Robert Murison, Gary B. Glavin, William P. Paré, Olga Mena and Roy C. Orlando. Their work appears in journals such as Neuropeptides, Annals of the New York Academy of Sciences, Brain Research, Pharmacology Biochemistry and Behavior and Mathematical and Computational Applications.
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.