S. A. Ellis

1.9k total citations
39 papers, 1.5k citations indexed

About

S. A. Ellis is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, S. A. Ellis has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in S. A. Ellis's work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (11 papers). S. A. Ellis is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (11 papers). S. A. Ellis collaborates with scholars based in United Kingdom, United States and France. S. A. Ellis's co-authors include Andrew J. McMichael, Mark S. Palmer, Ian L. Sargent, Christopher Redman, W. Ivan Morrison, Edward C. Holmes, E. J. Hensen, M.J. Stear, Karen Staines and J.J. van der Poel and has published in prestigious journals such as The Journal of Immunology, Oncogene and Virology.

In The Last Decade

S. A. Ellis

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. Ellis United Kingdom 21 1.2k 397 303 195 186 39 1.5k
Nina Hambruch Germany 20 260 0.2× 210 0.5× 153 0.5× 65 0.3× 167 0.9× 34 767
Pouya Dini United States 17 262 0.2× 394 1.0× 133 0.4× 83 0.4× 219 1.2× 80 785
Maureen Tuffrey United Kingdom 22 543 0.5× 136 0.3× 100 0.3× 23 0.1× 231 1.2× 79 1.6k
Sylvie Delassus France 15 513 0.4× 43 0.1× 92 0.3× 59 0.3× 402 2.2× 20 1.3k
Mohamed Isahakia Kenya 12 251 0.2× 62 0.2× 142 0.5× 110 0.6× 76 0.4× 19 631
David Smotkin United States 17 351 0.3× 44 0.1× 54 0.2× 84 0.4× 679 3.7× 26 1.9k
Ernest L. Levroney United States 7 669 0.6× 48 0.1× 105 0.3× 17 0.1× 344 1.8× 7 1.4k
Martine Vercammen Belgium 14 240 0.2× 45 0.1× 121 0.4× 38 0.2× 163 0.9× 32 1.4k
F Cervoni France 7 358 0.3× 20 0.1× 95 0.3× 19 0.1× 111 0.6× 9 980
Rebecca L. Jorgenson United States 6 584 0.5× 63 0.2× 139 0.5× 8 0.0× 219 1.2× 8 1.1k

Countries citing papers authored by S. A. Ellis

Since Specialization
Citations

This map shows the geographic impact of S. A. Ellis'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 S. A. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Ellis more than expected).

Fields of papers citing papers by S. A. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Ellis. 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 S. A. Ellis. The network helps show where S. A. Ellis may publish in the future.

Co-authorship network of co-authors of S. A. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Ellis. A scholar is included among the top collaborators of S. A. Ellis 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 S. A. Ellis. S. A. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shah, Rohan & S. A. Ellis. (2011). Subcutaneous fat calcinosis in adult-onset dermatomyositis: Figure 1. BMJ Case Reports. 2011. bcr0520114268–bcr0520114268. 2 indexed citations
2.
Chavatte‐Palmer, Pascale, Michel Guillomot, Yvan Heyman, et al.. (2007). Placental Expression of Major Histocompatibility Complex Class I in Bovine Somatic Clones. Cloning and Stem Cells. 9(3). 346–356. 6 indexed citations
3.
Marchetti, Barbara, Edward S. Dornan, G. Hossein Ashrafi, et al.. (2006). The E5 oncoprotein of BPV-4 does not interfere with the biosynthetic pathway of non-classical MHC class I. Virology. 353(1). 174–183. 17 indexed citations
4.
Marchetti, Barbara, et al.. (2005). The E5 protein of BPV-4 interacts with the heavy chain of MHC class I and irreversibly retains the MHC complex in the Golgi apparatus. Oncogene. 25(15). 2254–2263. 20 indexed citations
5.
Bainbridge, David R.J., Ian L. Sargent, & S. A. Ellis. (2001). Increased expression of major histocompatibility complex (MHC) class I transplantation antigens in bovine trophoblast cells before fusion with maternal cells. Reproduction. 122(6). 907–913. 28 indexed citations
6.
Ellis, S. A., Edward C. Holmes, Karen Staines, et al.. (1999). Variation in the number of expressed MHC genes in different cattle class I haplotypes. Immunogenetics. 50(5-6). 319–328. 71 indexed citations
7.
Holmes, Edward C. & S. A. Ellis. (1999). Evolutionary History of MHC Class I Genes in the Mammalian Order Perissodactyla. Journal of Molecular Evolution. 49(3). 316–324. 27 indexed citations
8.
Ellis, S. A., et al.. (1999). Standardisation of a procedure for quantifying surface antigens by indirect immunofluorescence. Journal of Immunological Methods. 228(1-2). 29–36. 17 indexed citations
9.
Ellis, S. A., Karen Staines, M.J. Stear, E. J. Hensen, & W. Ivan Morrison. (1998). DNA typing for BoLA class I using sequence‐specific primers (PCR‐SSP). European Journal of Immunogenetics. 25(5). 365–370. 37 indexed citations
10.
Ellis, S. A., I L Sargent, Bryan Charleston, & David R.J. Bainbridge. (1998). Regulation of MHC class I gene expression is at transcriptional and post-transcriptional level in bovine placenta. Journal of Reproductive Immunology. 37(2). 103–115. 18 indexed citations
11.
Ellis, S. A., Anthony C. Willis, R. S. Cook, et al.. (1996). Identification of potential CTL epitopes of bovine RSV using allele-specific peptide motifs from bovine MHC class I molecules. Veterinary Immunology and Immunopathology. 54(1-4). 211–219. 12 indexed citations
12.
Ellis, S. A., et al.. (1996). Sequence of two cattle MHC class I cDNAs associated with BoLA A10 specificity. Immunogenetics. 43(4). 253–254. 12 indexed citations
13.
Ellis, S. A., et al.. (1995). Sequence divergence of B2m in different cattle populations. Immunogenetics. 42(3). 229–30. 1 indexed citations
14.
Ellis, S. A., et al.. (1995). AT LEAST FOUR MHC CLASS I GENES ARE TRANSCRIBED IN THE HORSE: PHYLOGENETIC ANALYSIS SUGGESTS AN UNUSUAL EVOLUTIONARY HISTORY FOR THE MHC IN THIS SPECIES. International Journal of Immunogenetics. 22(3). 249–260. 43 indexed citations
15.
Hegde, Nagendra R., et al.. (1995). Peptide motif of the cattle MHC class I antigen BoLA-A11. Immunogenetics. 42(4). 302–3. 24 indexed citations
16.
Ellis, S. A.. (1994). MINIREVIEW MHC STUDIES IN DOMESTIC ANIMALS. International Journal of Immunogenetics. 21(3). 209–215. 4 indexed citations
17.
Ellis, S. A., et al.. (1993). Nucleotide sequence of cattle ?2-microglobulin cDNA. Immunogenetics. 38(4). 310–310. 15 indexed citations
18.
Ellis, S. A., et al.. (1993). Nucleotide sequence of horse ?2-microglobulin cDNA. Immunogenetics. 38(5). 383–383. 5 indexed citations
19.
Ellis, S. A., et al.. (1987). LACK OF EVIDENCE FOR GENE CONVERSION IN B27 NEGATIVE ANKYLOSING-SPONDYLITIS. Lara D. Veeken. 26. 28–28. 24 indexed citations
20.
Ellis, S. A.. (1972). Récepteurs adrénergiques impliqués dans les réponses métaboliques aux catécholamines.. 25. 91–114. 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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