A Sette

763 total citations
8 papers, 649 citations indexed

About

A Sette is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, A Sette has authored 8 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in A Sette's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Glycosylation and Glycoproteins Research (3 papers). A Sette is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Glycosylation and Glycoproteins Research (3 papers). A Sette collaborates with scholars based in United States. A Sette's co-authors include S M Colón, H M Grey, C Miles, John A. Smith, Ettore Appella, Robert W. Chesnut, Søren Buus, John Sidney, Scott Southwood and David A. Hafler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Immunology.

In The Last Decade

A Sette

8 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Sette United States	7	462	311	212	62	57	8	649
Diana S. Smith United States	14	401 0.9×	209 0.7×	191 0.9×	80 1.3×	100 1.8×	23	619
Géraldine Folch France	9	441 1.0×	315 1.0×	226 1.1×	55 0.9×	22 0.4×	16	690
C Bona United States	16	317 0.7×	182 0.6×	187 0.9×	176 2.8×	24 0.4×	42	617
Bastiaan L. Slierendregt Netherlands	14	582 1.3×	207 0.7×	53 0.3×	86 1.4×	175 3.1×	20	848
Matthew Waller United Kingdom	5	599 1.3×	182 0.6×	69 0.3×	65 1.0×	30 0.5×	7	760
Kiley R. Prilliman United States	15	698 1.5×	302 1.0×	58 0.3×	72 1.2×	52 0.9×	20	902
M. Kronenberg United States	7	315 0.7×	332 1.1×	132 0.6×	132 2.1×	36 0.6×	9	585
Julia G. Johnson United States	11	997 2.2×	138 0.4×	91 0.4×	85 1.4×	46 0.8×	14	1.2k
Ken Snoke United States	7	747 1.6×	309 1.0×	192 0.9×	105 1.7×	61 1.1×	9	949
Damir Vidović United States	13	612 1.3×	167 0.5×	162 0.8×	55 0.9×	10 0.2×	24	764

Countries citing papers authored by A Sette

Since Specialization

Citations

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

Fields of papers citing papers by A Sette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Sette

This figure shows the co-authorship network connecting the top 25 collaborators of A Sette. A scholar is included among the top collaborators of A Sette 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 A Sette. A Sette 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:

8 of 8 papers shown

1.

Grifoni, Alba, Patrick O’Rourke, John Sidney, et al.. (2016). Human CD4 + T Cell Responses to an Attenuated Tetravalent Dengue Vaccine Parallel Those Induced by Natural Infection in Magnitude, HLA Restriction, and Antigen Specificity. 3 indexed citations

2.

Ponomarenko, Julia, et al.. (2010). IEDB-3D: structural data within the immune epitope database. Nucleic Acids Research. 39(Database). D1164–D1170. 50 indexed citations

3.

Sidney, John, Bjoern Peters, Carrie Moore, et al.. (2007). Characterization of the peptide-binding specificity of the chimpanzee class I alleles A*0301 and A*0401 using a combinatorial peptide library. Immunogenetics. 59(9). 745–751. 20 indexed citations

4.

Wentworth, Peggy, Spyros A. Kalams, Barbara M. Wilkes, et al.. (1997). Degenerate and promiscuous recognition by CTL of peptides presented by the MHC class I A3-like superfamily: implications for vaccine development. The Journal of Immunology. 159(4). 1648–1657. 86 indexed citations

5.

Markovic‐Plese, Silva, Hikoaki Fukaura, A AL-Sabbagh, et al.. (1995). T cell recognition of immunodominant and cryptic proteolipid protein epitopes in humans. The Journal of Immunology. 155(2). 982–992. 107 indexed citations

6.

O’Sullivan, Donal M., John Sidney, Marika Guercio, S M Colón, & A Sette. (1991). Truncation analysis of several DR binding epitopes. The Journal of Immunology. 146(4). 1240–1246. 65 indexed citations

7.

Lamont, Alan, Mark Powell, S M Colón, et al.. (1990). The use of peptide analogs with improved stability and MHC binding capacity to inhibit antigen presentation in vitro and in vivo.. The Journal of Immunology. 144(7). 2493–2498. 56 indexed citations

8.

Sette, A, Søren Buus, Ettore Appella, et al.. (1989). Prediction of major histocompatibility complex binding regions of protein antigens by sequence pattern analysis.. Proceedings of the National Academy of Sciences. 86(9). 3296–3300. 262 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.

Explore authors with similar magnitude of impact