Samuel Connell

2.1k citations
7 papers · 1.6k indexed · 1 hit paper · h-index 6
Topics
Cell death mechanisms and regulation (5 papers)Autophagy in Disease and Therapy (2 papers)Mitochondrial Function and Pathology (2 papers)
Partner nations
United StatesSpainRussia

In The Last Decade

Samuel Connell

7 papers receiving 1.6k citations

Hit Papers

Toll-like receptor signalling in macrophages links the au...200720262013201920072505007501000

Peers

Samuel Connell
Comparison fields: 5 of 106
  • Epidemiology 792
  • Molecular Biology 769
  • Immunology 505
  • Cell Biology 187
  • Physiology 136
Replace Simon Moshiach with:
Simon Moshiach United States
Takahiro Kamimoto Japan
Roderick Bronson United States
Mary‐Pat Stein United States
Manohar Pilli United States
Judy M. Callaghan Australia
Nicolas Pagé Switzerland
Cinzia Progida Norway
Rui Jia China
Kefeng Lu China
Samuel Connell relative to Simon Moshiach United States Simon Moshiach's profile →
Citations per field
00.5×1.5×
Simon Moshiach · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 28
2 157
3 115
4 4
5 179
6 62
7
Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosisbreakdown →
1069

About Samuel Connell

Samuel Connell is a scholar working on Endocrinology, Molecular Biology 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) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Physiology (136 citations), Immunology (505 citations) and Epidemiology (792 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, Sebo Withoff, Masaaki Komatsu, John L. Cleveland, Keiji Tanaka, Frank C. Dorsey, Simon Moshiach and Miguel A. F. Sanjuán. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.

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