Miguel A. Pappolla
- Physiology top 0.2%
- Molecular Biology top 2%
- Pharmacology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Surgery top 5%
- Co-authors
- George PerryKumar SambamurtiMark A. SmithLorenzo M. RefoloKeisuke HiraiBurkhard PöeggelerRosmarıa OmarKaren Duff
- Topics
- Alzheimer's disease research and treatments (53 papers)Cholinesterase and Neurodegenerative Diseases (13 papers)Tryptophan and brain disorders (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Miguel A. Pappolla
102 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 4.7k
- Molecular Biology 3.0k
- Pharmacology 1.2k
- Cellular and Molecular Neuroscience 933
- Surgery 923
Countries citing papers authored by Miguel A. Pappolla
This map shows the geographic impact of Miguel A. Pappolla'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 Miguel A. Pappolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Pappolla more than expected).
Fields of papers citing papers by Miguel A. Pappolla
This network shows the impact of papers produced by Miguel A. Pappolla. 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 Miguel A. Pappolla. The network helps show where Miguel A. Pappolla may publish in the future.
Co-authorship network of co-authors of Miguel A. Pappolla
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Pappolla. A scholar is included among the top collaborators of Miguel A. Pappolla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel A. Pappolla. Miguel A. Pappolla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 73 | |
| 7 | Amyloid Precursor Protein Metabolism in Retinal Degeneration | 1 |
| 8 | 157 | |
| 9 | 11 | |
| 10 | Hypercholesterolemia Accelerates the Alzheimer's Amyloid Pathology in a Transgenic Mouse Modelbreakdown → | 825 |
| 11 | 469 | |
| 12 | 39 | |
| 13 | 51 | |
| 14 | 8 | |
| 15 | 71 | |
| 16 | 127 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | Image analysis microspectroscopy of senile plaque capillary amyloid in Alzheimer's disease. A preliminary study. | 3 |
| 20 | 21 |
About Miguel A. Pappolla
Miguel A. Pappolla is a scholar working on Biological Psychiatry, Physiology and Endocrine and Autonomic Systems, having authored 103 papers that have together received 8.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (53 papers), Cholinesterase and Neurodegenerative Diseases (13 papers) and Tryptophan and brain disorders (9 papers). The work is most often cited by research in Biological Psychiatry (797 citations), Physiology (4.7k citations) and Endocrine and Autonomic Systems (879 citations). Miguel A. Pappolla has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include George Perry, Kumar Sambamurti, Mark A. Smith, Lorenzo M. Refolo, Keisuke Hirai, Burkhard Pöeggeler, Rosmarıa Omar, Karen Duff, Tara Bryant‐Thomas and Rawhi Omar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.