John J. Shacka
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Developmental Neuroscience top 5%
Papers in
-
- Nicotinic Acetylcholine Receptors Study 3
- Glycosylation and Glycoproteins Research 2
- Receptor Mechanisms and Signaling 2
-
- Lysosomal Storage Disorders Research 7
- Co-authors
- Jennifer E. Slemmer (1 shared paper)Marva I. Sweeney (1 shared paper)John T. Weber (1 shared paper)Susan Robinson (3 shared papers)Leandra R. Mangieri (1 shared paper)Ashley S. Harms (1 shared paper)Chander Raman (1 shared paper)Randy Q. Cron (1 shared paper)
- Journals
- Neuroscience (2 papers)Journal of Virology (2 papers)Autophagy (2 papers)American Journal Of Pathology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesCanadaArgentina
In The Last Decade
John J. Shacka
23 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Neurology 341
- Neurology 364
- Developmental Neuroscience 72
- Hematology 198
- Virology 82
Countries citing papers authored by John J. Shacka
This map shows the geographic impact of John J. Shacka'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 John J. Shacka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Shacka more than expected).
Fields of papers citing papers by John J. Shacka
This network shows the impact of papers produced by John J. Shacka. 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 John J. Shacka. The network helps show where John J. Shacka may publish in the future.
Co-authors
The 25 scholars most cited alongside John J. Shacka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 338 | |
| 2 | 2013 | 313 | |
| 3 | 2002 | 290 | |
| 4 | 2020 | 90 | |
| 5 | 2017 | 79 | |
| 6 | 2014 | 71 | |
| 7 | 2016 | 68 | |
| 8 | 2014 | 59 | |
| 9 | 1997 | 56 | |
| 10 | 2004 | 48 | |
| 11 | 2008 | 48 | |
| 12 | 2012 | 48 | |
| 13 | 1998 | 44 | |
| 14 | 2013 | 37 | |
| 15 | 2017 | 36 | |
| 16 | 2013 | 36 | |
| 17 | 1998 | 33 | |
| 18 | 2007 | 24 | |
| 19 | 2007 | 23 | |
| 20 | 2013 | 22 |
About John J. Shacka
John J. Shacka is a scholar working on Molecular Biology, Physiology, Neurology, Social Psychology and Epidemiology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cellular transport and secretion (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neuroendocrine regulation and behavior (2 papers), Receptor Mechanisms and Signaling (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Neurology (341 citations), Neurology (364 citations), Developmental Neuroscience (72 citations), Hematology (198 citations) and Virology (82 citations). John J. Shacka has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include Jennifer E. Slemmer, Marva I. Sweeney, John T. Weber, Susan Robinson, Leandra R. Mangieri, Ashley S. Harms, Chander Raman, Randy Q. Cron, David G. Standaert and Shuwen Cao. Their work appears in journals such as Neuroscience, Journal of Virology, Autophagy, American Journal Of Pathology 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.