Shawn M. Ferguson
- Cell Biology top 0.2%
- Cellular transport and secretion 37
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism 9
- Erythrocyte Function and Pathophysiology 8
- Alzheimer's disease research and treatments 6
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- Neuroscience and Neuropharmacology Research 16
- Aging top 2%
- Molecular Biology top 1%
- Lipid Membrane Structure and Behavior 10
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- Autophagy in Disease and Therapy 11
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- Amyotrophic Lateral Sclerosis Research 6
- Co-authors
- Pietro De CamilliAgnes Roczniak-FergusonConstance PetitSummer ParadiseRandy BlakelyBrittany AngarolaTobias C. WaltherSharon Qian
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (11 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Shawn M. Ferguson
78 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cell Biology 3.0k
- Physiology 819
- Cellular and Molecular Neuroscience 1.4k
- Aging 119
- Molecular Biology 4.3k
Countries citing papers authored by Shawn M. Ferguson
This map shows the geographic impact of Shawn M. Ferguson'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 Shawn M. Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn M. Ferguson more than expected).
Fields of papers citing papers by Shawn M. Ferguson
This network shows the impact of papers produced by Shawn M. Ferguson. 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 Shawn M. Ferguson. The network helps show where Shawn M. Ferguson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn M. Ferguson, 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 | 2025 | 6 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 43 | |
| 10 | The complex relationship between | 2018 | 381 |
| 11 | 2018 | 1 | |
| 12 | 2018 | 25 | |
| 13 | 2018 | 76 | |
| 14 | 2016 | 104 | |
| 15 | 2016 | 140 | |
| 16 | 2010 | 4 | |
| 17 | 2010 | 32 | |
| 18 | 2008 | 115 | |
| 19 | 1999 | 97 | |
| 20 | 1999 | 64 |
About Shawn M. Ferguson
Shawn M. Ferguson is a scholar working on Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 7.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (37 papers), Neuroscience and Neuropharmacology Research (16 papers), Autophagy in Disease and Therapy (11 papers), Lipid Membrane Structure and Behavior (10 papers), Calcium signaling and nucleotide metabolism (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Cell Biology (3.0k citations), Physiology (819 citations) and Cellular and Molecular Neuroscience (1.4k citations). Shawn M. Ferguson has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Pietro De Camilli, Agnes Roczniak-Ferguson, Constance Petit, Summer Paradise, Randy Blakely, Brittany Angarola, Tobias C. Walther, Sharon Qian, Subbu Apparsundaram and Hongying Shen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.