Samuel Connell
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Immunology top 5%
- Phagocytosis and Immune Regulation
Papers in
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- Cell death mechanisms and regulation 5
- Mitochondrial Function and Pathology 2
- Bacillus and Francisella bacterial research 1
- Lipid Membrane Structure and Behavior 1
- ATP Synthase and ATPases Research 1
- RNA Interference and Gene Delivery 1
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- Autophagy in Disease and Therapy 2
- Co-authors
- Douglas R. Green (5 shared papers)Stephen W. G. Tait (4 shared papers)Christopher P. Dillon (2 shared papers)Simon Moshiach (1 shared paper)Masaaki Komatsu (1 shared paper)Sebo Withoff (1 shared paper)Keiji Tanaka (1 shared paper)Frank C. Dorsey (1 shared paper)
- Journals
- Developmental Cell (1 paper)Methods (1 paper)Progress in Biophysics and Molecular Biology (1 paper)Nature (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesSpainRussia
In The Last Decade
Samuel Connell
7 papers receiving 1.6k citations
Samuel Connell's Hit Papers
Peers
Comparison fields: 5 of 106
- Physiology 136
- Immunology 505
- Epidemiology 792
- Endocrinology 98
- Parasitology 98
Countries citing papers authored by Samuel Connell
This map shows the geographic impact of Samuel Connell'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 Samuel Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Connell more than expected).
Fields of papers citing papers by Samuel Connell
This network shows the impact of papers produced by Samuel Connell. 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 Samuel Connell. The network helps show where Samuel Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Connell, 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 | Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosis Hit paper breakdown → | 2007 | 1069 |
| 2 | 2009 | 179 | |
| 3 | 2010 | 157 | |
| 4 | 2009 | 115 | |
| 5 | 2008 | 62 | |
| 6 | 2011 | 28 | |
| 7 | 2009 | 4 |
About Samuel Connell
Samuel Connell is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Autophagy in Disease and Therapy (2 papers), Mitochondrial Function and Pathology (2 papers), Phagocytosis and Immune Regulation (1 paper), Bacillus and Francisella bacterial research (1 paper), Lipid Membrane Structure and Behavior (1 paper), ATP Synthase and ATPases Research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Physiology (136 citations), Immunology (505 citations), Epidemiology (792 citations), Endocrinology (98 citations) and Parasitology (98 citations). Samuel Connell has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Douglas R. Green, Stephen W. G. Tait, Christopher P. Dillon, Simon Moshiach, Masaaki Komatsu, Sebo Withoff, Keiji Tanaka, Frank C. Dorsey, Miguel A. F. Sanjuán and John L. Cleveland. Their work appears in journals such as Developmental Cell, Methods, Progress in Biophysics and Molecular Biology, Nature and Molecular Cell.
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.