Ken Snoke

1.1k total citations
9 papers, 949 citations indexed

About

Ken Snoke is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ken Snoke has authored 9 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Ken Snoke's work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Cell Function and Interaction (4 papers). Ken Snoke is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Cell Function and Interaction (4 papers). Ken Snoke collaborates with scholars based in United States and Italy. Ken Snoke's co-authors include Jeff Alexander, Alessandro Sette, Jörg Ruppert, Howard M. Grey, John Sidney, Scott Southwood, Carla Oseroff, Ralph T. Kubo, Ajesh Maewal and Horacio M. Serra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and The Journal of Immunology.

In The Last Decade

Ken Snoke

9 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Snoke United States	7	747	309	192	137	105	9	949
Julia G. Johnson United States	11	997 1.3×	138 0.4×	91 0.5×	158 1.2×	85 0.8×	14	1.2k
S Gamble United States	10	747 1.0×	214 0.7×	93 0.5×	90 0.7×	116 1.1×	10	881
J. A. Frelinger United States	18	658 0.9×	310 1.0×	228 1.2×	94 0.7×	241 2.3×	47	1.1k
Elliot P. Cowan United States	20	522 0.7×	163 0.5×	118 0.6×	60 0.4×	138 1.3×	33	790
Bhanu Sadasivan United States	6	942 1.3×	475 1.5×	103 0.5×	150 1.1×	157 1.5×	6	1.3k
A. Raúl Castaño Spain	16	1.2k 1.6×	275 0.9×	71 0.4×	156 1.1×	120 1.1×	25	1.4k
Robert O. Endres United States	15	530 0.7×	196 0.6×	218 1.1×	74 0.5×	62 0.6×	35	854
A Sette United States	7	462 0.6×	311 1.0×	212 1.1×	42 0.3×	62 0.6×	8	649
Mark Till United States	10	747 1.0×	339 1.1×	385 2.0×	115 0.8×	34 0.3×	12	991
Bruce Babbitt United States	6	984 1.3×	437 1.4×	447 2.3×	88 0.6×	133 1.3×	11	1.3k

Countries citing papers authored by Ken Snoke

Since Specialization

Citations

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

Fields of papers citing papers by Ken Snoke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Snoke. 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 Ken Snoke. The network helps show where Ken Snoke may publish in the future.

Co-authorship network of co-authors of Ken Snoke

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

All Works

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9 of 9 papers shown

Ruppert, Jörg, Alessandra Franco, Jeff Alexander, et al.. (1994). MHC Blocking Peptides and T-Cell Receptor Antagonists: Novel Paths to Selective Immunosuppression?. Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy. 60(144). 61–78. 5 indexed citations

Alexander, Jeff, Jörg Ruppert, Ken Snoke, & Alessandro Sette. (1994). TCR antagonism and T cell tolerance can be independently induced in a DR-restricted, hemagglutinin-specific T cell clone. International Immunology. 6(3). 363–367. 10 indexed citations

Alexander, Jeff, John Sidney, Scott Southwood, et al.. (1994). Development of high potency universal DR-restricted helper epitopes by modification of high affinity DR-blocking peptides. Immunity. 1(9). 751–761. 437 indexed citations

Page, Dawne M., Jeff Alexander, Ken Snoke, et al.. (1994). Negative selection of CD4+ CD8+ thymocytes by T-cell receptor peptide antagonists.. Proceedings of the National Academy of Sciences. 91(9). 4057–4061. 72 indexed citations

Sette, Alessandro, Jeff Alexander, Jörg Ruppert, et al.. (1994). Antigen Analogs/MHC Complexes as Specific T Cell Receptor Antagonists. Annual Review of Immunology. 12(1). 413–431. 170 indexed citations

Alexander, Jeff, Ken Snoke, J Ruppert, et al.. (1993). Functional consequences of engagement of the T cell receptor by low affinity ligands. The Journal of Immunology. 150(1). 1–7. 155 indexed citations

Grey, H M, Jeff Alexander, Ken Snoke, A Sette, & J Ruppert. (1993). Antigen analogues as antagonists of the T cell receptor.. PubMed. 11 Suppl 8. S47–50. 5 indexed citations

Ruppert, J, Jeff Alexander, Ken Snoke, et al.. (1993). Effect of T-cell receptor antagonism on interaction between T cells and antigen-presenting cells and on T-cell signaling events.. Proceedings of the National Academy of Sciences. 90(7). 2671–2675. 63 indexed citations

Snoke, Ken, Jeff Alexander, Alessandra Franco, et al.. (1993). The inhibition of different T cell lines specific for the same antigen with TCR antagonist peptides.. The Journal of Immunology. 151(12). 6815–6821. 32 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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