Samuel Connell

2.1k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Samuel Connell is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Samuel Connell has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Samuel Connell's work include Cell death mechanisms and regulation (5 papers), Autophagy in Disease and Therapy (2 papers) and Mitochondrial Function and Pathology (2 papers). Samuel Connell is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Autophagy in Disease and Therapy (2 papers) and Mitochondrial Function and Pathology (2 papers). Samuel Connell collaborates with scholars based in United States, Spain and Russia. Samuel Connell's co-authors include Douglas R. Green, Stephen W. G. Tait, Christopher P. Dillon, Sebo Withoff, Masaaki Komatsu, John L. Cleveland, Keiji Tanaka, Frank C. Dorsey, Simon Moshiach and Miguel A. F. Sanjuán and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Samuel Connell

7 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosis

2007 1.1k citations Miguel A. F. Sanjuán, Christopher P. Dillon et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Samuel Connell United States	6	792	769	505	187	136	7	1.6k
Jelena Korać-Prlić Croatia	11	887 1.1×	678 0.9×	231 0.5×	319 1.7×	150 1.1×	15	1.5k
Manohar Pilli United States	13	954 1.2×	964 1.3×	409 0.8×	374 2.0×	170 1.3×	13	1.8k
Takahiro Kamimoto Japan	10	833 1.1×	661 0.9×	222 0.4×	331 1.8×	138 1.0×	12	1.5k
Kassidy K. Huynh Canada	13	448 0.6×	567 0.7×	291 0.6×	303 1.6×	215 1.6×	14	1.4k
Simon Moshiach United States	13	915 1.2×	925 1.2×	542 1.1×	510 2.7×	225 1.7×	16	2.2k
Dorothee Schmid United States	11	1.4k 1.7×	580 0.8×	1.1k 2.2×	147 0.8×	210 1.5×	14	2.3k
Mary‐Pat Stein United States	12	395 0.5×	583 0.8×	492 1.0×	332 1.8×	82 0.6×	14	1.4k
Atsuki Nara Japan	15	985 1.2×	896 1.2×	291 0.6×	716 3.8×	210 1.5×	18	2.0k
Loredana Saveanu France	28	458 0.6×	1.1k 1.5×	1.7k 3.4×	180 1.0×	81 0.6×	47	2.7k
Lucile Espert France	22	1.2k 1.6×	802 1.0×	671 1.3×	181 1.0×	161 1.2×	44	2.3k

Countries citing papers authored by Samuel Connell

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Samuel Connell

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Connell. A scholar is included among the top collaborators of Samuel Connell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Connell. Samuel Connell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chan, Deva D., Martin Bahls, Samuel Connell, et al.. (2011). Mechanostasis in apoptosis and medicine. Progress in Biophysics and Molecular Biology. 106(3). 517–524. 28 indexed citations

2.

Tait, Stephen W. G., Melissa J. Parsons, Fabien Llambi, et al.. (2010). Resistance to Caspase-Independent Cell Death Requires Persistence of Intact Mitochondria. Developmental Cell. 18(5). 802–813. 157 indexed citations

3.

Bouchier‐Hayes, Lisa, Andrew Oberst, Gavin P. McStay, et al.. (2009). Characterization of Cytoplasmic Caspase-2 Activation by Induced Proximity. Molecular Cell. 35(6). 830–840. 115 indexed citations

4.

Tait, Stephen W. G., Lisa Bouchier‐Hayes, Andrew Oberst, Samuel Connell, & Douglas R. Green. (2009). Live to Dead Cell Imaging. Methods in molecular biology. 559. 33–48. 4 indexed citations

5.

Cicero, Samantha A., Dianna A. Johnson, Steve Reyntjens, et al.. (2009). Cells previously identified as retinal stem cells are pigmented ciliary epithelial cells. Proceedings of the National Academy of Sciences. 106(16). 6685–6690. 179 indexed citations

6.

Bouchier‐Hayes, Lisa, Cristina Muñoz‐Pinedo, Samuel Connell, & Douglas R. Green. (2008). Measuring apoptosis at the single cell level. Methods. 44(3). 222–228. 62 indexed citations

7.

Sanjuán, Miguel A. F., Christopher P. Dillon, Stephen W. G. Tait, et al.. (2007). Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosis. Nature. 450(7173). 1253–1257. 1069 indexed citations breakdown →

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.

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