Tommy Saing
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Elizabeth HeadFloyd SarsozaCharles GlabeRakez KayedDavid H. CribbsCarl W. CotmanPeter C. ButlerMihaela Necula
- Journals
- Acta Neuropathologica (2 papers)PLoS ONE (2 papers)Brain Pathology (1 paper)The Journal of Immunology (1 paper)Journal of Interferon & Cytokine Research (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Tommy Saing
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Physiology 830
- Neurology 237
- Biological Psychiatry 58
- Computational Theory and Mathematics 168
- Neurology 155
Countries citing papers authored by Tommy Saing
This map shows the geographic impact of Tommy Saing'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 Tommy Saing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommy Saing more than expected).
Fields of papers citing papers by Tommy Saing
This network shows the impact of papers produced by Tommy Saing. 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 Tommy Saing. The network helps show where Tommy Saing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tommy Saing, 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 | 44 | |
| 2 | 2016 | 31 | |
| 3 | 2016 | 5 | |
| 4 | 2015 | 55 | |
| 5 | 2015 | 89 | |
| 6 | 2013 | 39 | |
| 7 | 2012 | 49 | |
| 8 | 2011 | 71 | |
| 9 | 2011 | 11 | |
| 10 | 2011 | 44 | |
| 11 | 2010 | 14 | |
| 12 | 2009 | 37 | |
| 13 | 2008 | 77 | |
| 14 | Fibril specific, conformation dependent antibodies recognize a generic epitope common to amyloid fibrils and fibrillar oligomers that is absent in prefibrillar oligomers Hit paper breakdown → | 2007 | 631 |
| 15 | 2005 | 164 |
About Tommy Saing
Tommy Saing is a scholar working on Neurology, Biological Psychiatry, Physiology, Biochemistry and Developmental Neuroscience, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Prion Diseases and Protein Misfolding (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Sulfur Compounds in Biology (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Pregnancy and Medication Impact (2 papers) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (830 citations), Neurology (237 citations), Biological Psychiatry (58 citations), Computational Theory and Mathematics (168 citations) and Neurology (155 citations). Tommy Saing has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Elizabeth Head, Floyd Sarsoza, Charles Glabe, Rakez Kayed, David H. Cribbs, Carl W. Cotman, Peter C. Butler, Mihaela Necula, Jennifer L. Thompson and Tatyana Gurlo. Their work appears in journals such as Acta Neuropathologica, PLoS ONE, Brain Pathology, The Journal of Immunology and Journal of Interferon & Cytokine Research.
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.