Michael Hernandez

1.4k citations
12 papers · 814 · h-index 9

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Alzheimer's disease research and treatments 6
    • Protein Structure and Dynamics 2
    • S100 Proteins and Annexins 1

Michael Hernandez

12 papers receiving 805 citations

Peers

Michael Hernandez
Comparison fields: 5 of 75
  • Neurology 487
  • Biological Psychiatry 51
  • Developmental Neuroscience 60
  • Immunology 240
  • Physiology 231
Replace Amy M. Smith with:
Amy M. Smith New Zealand
David Le United States
Eleonora Morga Luxembourg
Michael R. Strickland United States
Peter Thériault Canada
Qingshan Wang United States
Marcel Maier Switzerland
Colin L. Willis United States
Iryna Voytyuk United Kingdom
Rea Pihlaja Finland
Michael Hernandez relative to Amy M. Smith New Zealand Amy M. Smith's profile →
Citations per field
00.5×1.5×1.9×
Amy M. Smith · 1×
Citations per year

Countries citing papers authored by Michael Hernandez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Hernandez Line = papers co-authored together Michael Hernandez links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017270
2 2015196
3 2012126
4 201779
5 201140
6 201039
7 201734
8 201314
9 20119
10 20125
11 20151
12
Macromolecular crowding in biomatrix
20121

About Michael Hernandez

Michael Hernandez is a scholar working on Physiology, Molecular Biology, Neurology, Neurology and Oncology, having authored 12 papers that have together received 814 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Protein Structure and Dynamics (2 papers), Click Chemistry and Applications (1 paper), S100 Proteins and Annexins (1 paper), Complement system in diseases (1 paper) and Saffron Plant Research Studies (1 paper). The work is most often cited by research in Neurology (487 citations), Biological Psychiatry (51 citations), Developmental Neuroscience (60 citations), Immunology (240 citations) and Physiology (231 citations). Michael Hernandez has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Andrea J. Tenner, María Isabel Fonseca, Shu‐Hui Chu, Grant R. MacGregor, Jin Ryoun Kim, Elizabeth E. Spangenberg, Rachel Rice, Brian L. West, Yang Hu and Marie Benoit. Their work appears in journals such as ChemBioChem, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, ASN NEURO, Journal of Biological Chemistry and Journal of Neuroinflammation.

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.

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