Sara Cathey
Impact in
- Physiology top 2%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
-
- Cellular transport and secretion
Papers in
- Physiology 13
- Lysosomal Storage Disorders Research 13
- Calcium signaling and nucleotide metabolism 7
- Adenosine and Purinergic Signaling 2
-
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Tim Wood (7 shared papers)Michael J. Friez (7 shared papers)Roger E. Stevenson (2 shared papers)J. G. Leroy (1 shared paper)Richard J. Simensen (2 shared papers)M. Kudo (1 shared paper)Laura Pollard (5 shared papers)Jules G. Leroy (6 shared papers)
- Journals
- Molecular Genetics and Metabolism (2 papers)Archives of Pathology & Laboratory Medicine (1 paper)Clinical Chemistry (1 paper)Pediatric Neurology (1 paper)Cells (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Sara Cathey
24 papers receiving 424 citations
Peers
Comparison fields: 5 of 60
- Physiology 135
- Physiology 223
- Cell Biology 99
- Genetics 78
- Epidemiology 62
Countries citing papers authored by Sara Cathey
This map shows the geographic impact of Sara Cathey'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 Sara Cathey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Cathey more than expected).
Fields of papers citing papers by Sara Cathey
This network shows the impact of papers produced by Sara Cathey. 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 Sara Cathey. The network helps show where Sara Cathey may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Cathey, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 108 | |
| 2 | 2008 | 45 | |
| 3 | 2010 | 34 | |
| 4 | 2018 | 28 | |
| 5 | 2015 | 25 | |
| 6 | 2014 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2014 | 17 | |
| 11 | 2013 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2019 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 3 | |
| 20 | Mucolipidosis III Alpha/Beta | 2012 | 3 |
About Sara Cathey
Sara Cathey is a scholar working on Physiology, Molecular Biology, Physiology, Epidemiology and Genetics, having authored 24 papers that have together received 436 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (13 papers), Calcium signaling and nucleotide metabolism (7 papers), Trypanosoma species research and implications (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cellular transport and secretion (3 papers), Galectins and Cancer Biology (2 papers), Adenosine and Purinergic Signaling (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Physiology (135 citations), Physiology (223 citations), Cell Biology (99 citations), Genetics (78 citations) and Epidemiology (62 citations). Sara Cathey has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Tim Wood, Michael J. Friez, Roger E. Stevenson, J. G. Leroy, Richard J. Simensen, M. Kudo, Laura Pollard, Jules G. Leroy, Rongrong Huang and Barbara R. DuPont. Their work appears in journals such as Molecular Genetics and Metabolism, Archives of Pathology & Laboratory Medicine, Clinical Chemistry, Pediatric Neurology and Cells.
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.