Michael Hernandez
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Alzheimer's disease research and treatments 7
-
- Protein Structure and Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Andrea J. Tenner (5 shared papers)María Isabel Fonseca (3 shared papers)Grant R. MacGregor (1 shared paper)Shu‐Hui Chu (1 shared paper)Jin Ryoun Kim (5 shared papers)Brian L. West (1 shared paper)Elizabeth E. Spangenberg (1 shared paper)Yang Hu (4 shared papers)
- Journals
- ChemBioChem (2 papers)Chemical Communications (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesMexicoJapan
In The Last Decade
Michael Hernandez
12 papers receiving 777 citations
Peers
Comparison fields: 5 of 75
- Neurology 528
- Biological Psychiatry 54
- Developmental Neuroscience 67
- Immunology 256
- Physiology 251
Countries citing papers authored by Michael Hernandez
This map shows the geographic impact of Michael Hernandez'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 Michael Hernandez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hernandez more than expected).
Fields of papers citing papers by Michael Hernandez
This network shows the impact of papers produced by Michael Hernandez. 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 Michael Hernandez. The network helps show where Michael Hernandez may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hernandez, 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 | 2017 | 257 | |
| 2 | 2015 | 191 | |
| 3 | 2012 | 122 | |
| 4 | 2017 | 75 | |
| 5 | 2011 | 38 | |
| 6 | 2010 | 38 | |
| 7 | 2017 | 34 | |
| 8 | 2013 | 14 | |
| 9 | 2011 | 9 | |
| 10 | 2012 | 5 | |
| 11 | 2015 | 1 | |
| 12 | Macromolecular crowding in biomatrix | 2012 | 1 |
About Michael Hernandez
Michael Hernandez is a scholar working on Physiology, Molecular Biology, Neurology, Neurology and Immunology, having authored 12 papers that have together received 785 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Immune Response and Inflammation (2 papers), Protein Structure and Dynamics (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Neurological diseases and metabolism (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Neurology (528 citations), Biological Psychiatry (54 citations), Developmental Neuroscience (67 citations), Immunology (256 citations) and Physiology (251 citations). Michael Hernandez has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Andrea J. Tenner, María Isabel Fonseca, Grant R. MacGregor, Shu‐Hui Chu, Jin Ryoun Kim, Brian L. West, Elizabeth E. Spangenberg, Yang Hu, Rachel Rice and Francisca Benavente. Their work appears in journals such as ChemBioChem, Chemical Communications, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Neuroscience and Journal of Biological Chemistry.
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.