Samuel Connell

761 total citations
18 papers, 527 citations indexed

About

Samuel Connell is a scholar working on Infectious Diseases, Dermatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Samuel Connell has authored 18 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Dermatology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Samuel Connell's work include Hair Growth and Disorders (3 papers), Animal Disease Management and Epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Samuel Connell is often cited by papers focused on Hair Growth and Disorders (3 papers), Animal Disease Management and Epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Samuel Connell collaborates with scholars based in United States, United Kingdom and Japan. Samuel Connell's co-authors include I. Wender, Stanley H. Langer, Linda K. Dixon, Christopher L. Netherton, Camilla T. O. Benfield, S. Hollis, T. Dornan, J R McMurray, Raphael Wilson and Kazuo Tsubota and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Samuel Connell

17 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Connell United States 11 145 110 90 82 78 18 527
Wenxian Chen China 15 29 0.2× 198 1.8× 105 1.2× 114 1.4× 124 1.6× 57 803
A. J. Davison Canada 12 114 0.8× 19 0.2× 12 0.1× 17 0.2× 157 2.0× 24 822
Kiyoyasu Ishikawa Japan 9 41 0.3× 116 1.1× 85 0.9× 74 0.9× 73 0.9× 21 406
Dong An China 18 386 2.7× 67 0.6× 5 0.1× 141 1.7× 190 2.4× 38 868
Prashant Kumar India 17 260 1.8× 44 0.4× 3 0.0× 22 0.3× 164 2.1× 62 739
Haiying Li China 12 65 0.4× 7 0.1× 7 0.1× 17 0.2× 228 2.9× 25 505
G. E. Underwood United States 13 100 0.7× 9 0.1× 14 0.2× 23 0.3× 98 1.3× 27 541
Dongwei Guo China 14 14 0.1× 17 0.2× 6 0.1× 23 0.3× 100 1.3× 30 627
Z Michalska Poland 16 299 2.1× 14 0.1× 10 0.1× 34 0.4× 62 0.8× 54 631

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

18 of 18 papers shown
1.
Patel, Radhika A., Dana Bohan, Anna N. Honko, et al.. (2025). Ebola virus’ hidden target: virus transmission to and infection of skin. Journal of Virology. 99(10). e0130025–e0130025. 1 indexed citations
2.
Messingham, Kelly N., Radhika A. Patel, Samuel Connell, et al.. (2025). Multiple cell types support productive infection and dynamic translocation of infectious Ebola virus to the surface of human skin. Science Advances. 11(1). eadr6140–eadr6140. 4 indexed citations
3.
Connell, Samuel, et al.. (2023). CD4 T cells from mice with alopecia areata express an effector like phenotype and can transfer disease. The Journal of Immunology. 210(Supplement_1). 170.07–170.07.
4.
Netherton, Christopher L., et al.. (2023). African Swine Fever Virus Host–Pathogen Interactions. Sub-cellular biochemistry. 106. 283–331. 2 indexed citations
5.
Connell, Samuel & Ali Jabbari. (2022). The current state of knowledge of the immune ecosystem in alopecia areata. Autoimmunity Reviews. 21(5). 103061–103061. 13 indexed citations
6.
Rathakrishnan, Anusyah, Samuel Connell, Vlad Petrovan, et al.. (2022). Differential Effect of Deleting Members of African Swine Fever Virus Multigene Families 360 and 505 from the Genotype II Georgia 2007/1 Isolate on Virus Replication, Virulence, and Induction of Protection. Journal of Virology. 96(6). e0189921–e0189921. 43 indexed citations
7.
Connell, Samuel, et al.. (2021). CD4 T cell-mediated induction of alopecia areata is dose dependent and requires CD8 T cells. The Journal of Immunology. 206(1_Supplement). 21.14–21.14. 1 indexed citations
8.
Connell, Samuel, Motoko Kawashima, Shigeru Nakamura, et al.. (2021). Lactoferrin Ameliorates Dry Eye Disease Potentially through Enhancement of Short-Chain Fatty Acid Production by Gut Microbiota in Mice. International Journal of Molecular Sciences. 22(22). 12384–12384. 16 indexed citations
9.
Messingham, Kelly N., et al.. (2019). Demographics and Autoantibody Profiles of Pemphigoid Patients with Underlying Neurologic Diseases. Journal of Investigative Dermatology. 139(9). 1860–1866.e1. 15 indexed citations
10.
Netherton, Christopher L., Samuel Connell, Camilla T. O. Benfield, & Linda K. Dixon. (2019). The Genetics of Life and Death: Virus-Host Interactions Underpinning Resistance to African Swine Fever, a Viral Hemorrhagic Disease. Frontiers in Genetics. 10. 402–402. 68 indexed citations
11.
Liu, Ying, Masatoshi Hirayama, Xin Cui, et al.. (2015). Effectiveness of Autologous Serum Eye Drops Combined With Punctal Plugs for the Treatment of Sjögren Syndrome–Related Dry Eye. Cornea. 34(10). 1214–1220. 30 indexed citations
12.
Connell, Samuel, Marie Anne Chattaway, D. Powell, et al.. (2015). Investigation into the misidentification of Hazard Group 3 gastrointestinal pathogens and associated health and safety risks. British Journal of Biomedical Science. 72(2). 75–77. 1 indexed citations
13.
Bascomb, S, Sharon L. Abbott, David A. Bruckner, et al.. (1997). Multicenter evaluation of the MicroScan Rapid Gram-Negative Identification Type 3 Panel. Journal of Clinical Microbiology. 35(10). 2531–2536. 16 indexed citations
14.
Connell, Samuel, et al.. (1994). Gender and the Clinical Usefulness of the Albumin:Creatinine Ratio. Diabetic Medicine. 11(1). 32–36. 60 indexed citations
15.
Abbott, Sharon L., et al.. (1994). Escherichia coli O157:H7 generates a unique biochemical profile on MicroScan conventional gram-negative identification panels. Journal of Clinical Microbiology. 32(3). 823–824. 14 indexed citations
16.
Connell, Samuel & Raphael Wilson. (1965). The treatment of X-irradiated germfree CFW and C3H mice with isologous and homologous bone marrow. Life Sciences. 4(6). 721–729. 16 indexed citations
17.
Langer, Stanley H., Samuel Connell, & I. Wender. (1958). Preparation and Properties of Trimethylsilyl Ethers and Related Compounds. The Journal of Organic Chemistry. 23(1). 50–58. 226 indexed citations
18.
Feldman, Julian, et al.. (1953). Evaluation of Vacuum Rectification Columns - Monomethylaphthalenes as a Binary Test Mixture.. Industrial & Engineering Chemistry. 45(1). 214–215. 1 indexed citations

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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