A. Hughes

5.7k total citations · 2 hit papers
82 papers, 4.6k citations indexed

About

A. Hughes is a scholar working on Immunology, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, A. Hughes has authored 82 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 21 papers in Electrical and Electronic Engineering and 20 papers in Molecular Biology. Recurrent topics in A. Hughes's work include T-cell and B-cell Immunology (24 papers), Electric Motor Design and Analysis (21 papers) and Immunotherapy and Immune Responses (17 papers). A. Hughes is often cited by papers focused on T-cell and B-cell Immunology (24 papers), Electric Motor Design and Analysis (21 papers) and Immunotherapy and Immune Responses (17 papers). A. Hughes collaborates with scholars based in United States, United Kingdom and Brazil. A. Hughes's co-authors include M Nei, David I. Watkins, Tatsuya Ota, T.J.E. Miller, Robert Friedman, Jonathan E. Boyson, Norman L. Letvin, Jack da Silva, K. Crawford and Michael Houghton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Trends in Ecology & Evolution.

In The Last Decade

A. Hughes

81 papers receiving 4.5k citations

Hit Papers

The evolution of functionally novel proteins after gene d... 1994 2026 2004 2015 1994 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Hughes United States 35 1.7k 1.5k 907 632 426 82 4.6k
Luis P. Villarreal United States 35 2.0k 1.2× 722 0.5× 1.3k 1.5× 739 1.2× 599 1.4× 110 4.8k
Ulrich Certa Switzerland 38 2.1k 1.2× 1.0k 0.7× 399 0.4× 119 0.2× 178 0.4× 98 4.9k
Bertram L. Jacobs United States 44 2.4k 1.4× 2.3k 1.5× 1.3k 1.4× 436 0.7× 1.8k 4.2× 95 6.4k
Yoshiyuki Suzuki Japan 31 1.9k 1.1× 482 0.3× 1.0k 1.1× 362 0.6× 78 0.2× 92 4.5k
Jason Mercer United Kingdom 35 2.2k 1.3× 1.3k 0.9× 1.2k 1.3× 299 0.5× 941 2.2× 68 5.8k
John H. Connor United States 40 2.6k 1.5× 639 0.4× 520 0.6× 203 0.3× 280 0.7× 144 5.7k
Bernhard Ehlers Germany 36 640 0.4× 536 0.4× 525 0.6× 446 0.7× 212 0.5× 94 4.3k
Bernhard Hirt Germany 32 3.9k 2.3× 608 0.4× 2.7k 3.0× 922 1.5× 527 1.2× 120 8.5k
Spencer Shorte France 30 2.4k 1.4× 742 0.5× 327 0.4× 227 0.4× 457 1.1× 86 5.8k
Tatyana V. Pestova United States 64 13.7k 8.0× 608 0.4× 921 1.0× 1.4k 2.2× 181 0.4× 112 15.8k

Countries citing papers authored by A. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by A. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of A. Hughes. A scholar is included among the top collaborators of A. Hughes 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. Hughes. A. Hughes 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.
Putaporntip, Chaturong, et al.. (2015). Natural selection of K13 mutants of Plasmodium falciparum in response to artemisinin combination therapies in Thailand. Clinical Microbiology and Infection. 22(3). 285.e1–285.e8. 26 indexed citations
2.
Hughes, A. & Bart Buitenhuis. (2010). Reduced variance of gene expression at numerous loci in a population of chickens selected for high feather pecking. Poultry Science. 89(9). 1858–1869. 27 indexed citations
3.
Hughes, A. & Robert Friedman. (2008). Genome Size Reduction in the Chicken Has Involved Massive Loss of Ancestral Protein-Coding Genes. Molecular Biology and Evolution. 25(12). 2681–2688. 38 indexed citations
4.
Conley, Alan J., C. Jo Corbin, & A. Hughes. (2008). Adaptive evolution of mammalian aromatases: lessons from Suiformes. Journal of Experimental Zoology Part A Ecological Genetics and Physiology. 311A(5). 346–357. 20 indexed citations
5.
Corbin, C. Jo, A. Hughes, James R. Heffelfinger, et al.. (2007). Evolution of Suiform Aromatases: Ancestral Duplication with Conservation of Tissue-Specific Expression in the Collared Peccary (Pecari tayassu). Journal of Molecular Evolution. 65(4). 403–412. 21 indexed citations
7.
Slukvin, Igor I., Richard L. Grendell, Dinesh S. Rao, A. Hughes, & Thaddeus G. Golos. (2006). Cloning of rhesus monkey LILRs*. Tissue Antigens. 67(4). 331–337. 12 indexed citations
8.
Eck, Peter, et al.. (2004). Comparison of the genomic structure and variation in the two human sodium-dependent vitamin C transporters, SLC23A1 and SLC23A2. Human Genetics. 115(4). 285–94. 49 indexed citations
9.
Hughes, A.. (2004). Phylogeny of the Picornaviridae and differential evolutionary divergence of picornavirus proteins. Infection Genetics and Evolution. 4(2). 143–152. 29 indexed citations
10.
Hughes, A., Jack da Silva, & Robert Friedman. (2001). Ancient Genome Duplications Did Not Structure the Human Hox-Bearing Chromosomes. Genome Research. 11(5). 771–780. 85 indexed citations
11.
Grendell, Richard L., A. Hughes, & Thaddeus G. Golos. (2001). Cloning of rhesus monkey killer‐cell Ig‐like receptors (KIRs) from early pregnancy decidua. Tissue Antigens. 58(5). 329–334. 28 indexed citations
12.
Yeager, Meredith, Mary Carrington, & A. Hughes. (2000). Class I and class II MHC bind self peptide sets that are strikingly different in their evolutionary characteristics. Immunogenetics. 51(1). 8–15. 9 indexed citations
13.
Hughes, A.. (1998). Protein phylogenies provide evidence of a radical discontinuity between arthropod and vertebrate immune systems. Immunogenetics. 47(4). 283–296. 57 indexed citations
14.
15.
Evans, David T., Marian S. Piekarczyk, Todd M. Allen, et al.. (1997). Immunodominance of a single CTL epitope in a primate species with limited MHC class I polymorphism. The Journal of Immunology. 159(3). 1374–1382. 20 indexed citations
16.
Hughes, A.. (1995). Origin and evolution of HLA class I pseudogenes.. Molecular Biology and Evolution. 12(2). 247–58. 60 indexed citations
17.
Hughes, A.. (1994). Evolution of the ATP-binding-cassette transmembrane transporters of vertebrates.. Molecular Biology and Evolution. 11(6). 899–910. 35 indexed citations
18.
Hughes, A., J. Čorda, & D.A. Andrade. (1993). An inside look at cage motors with vector control. 258–264. 2 indexed citations
19.
Hughes, A. & M Nei. (1990). Evolutionary relationships of class II major-histocompatibility-complex genes in mammals.. Molecular Biology and Evolution. 7(6). 491–514. 85 indexed citations
20.
Watkins, David I., Norman L. Letvin, A. Hughes, & Thomas F. Tedder. (1990). Molecular cloning of cDNA that encode MHC class I molecules from a New World primate ( Saguinus oedipus ). Natural selection acts at positions that may affect peptide presentation to T cells.. The Journal of Immunology. 144(3). 1136–1143. 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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