Sean Davison

1.8k total citations
38 papers, 1.1k citations indexed

About

Sean Davison is a scholar working on Genetics, Molecular Biology and Insect Science. According to data from OpenAlex, Sean Davison has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 19 papers in Molecular Biology and 14 papers in Insect Science. Recurrent topics in Sean Davison's work include Forensic and Genetic Research (16 papers), Plant Virus Research Studies (11 papers) and Insect and Pesticide Research (10 papers). Sean Davison is often cited by papers focused on Forensic and Genetic Research (16 papers), Plant Virus Research Studies (11 papers) and Insect and Pesticide Research (10 papers). Sean Davison collaborates with scholars based in South Africa, New Zealand and Argentina. Sean Davison's co-authors include Neil Leat, Vandana A Govan, Mongi Benjeddou, Michael H. Allsopp, Mike Allsopp, María Eugenia D’Amato, B. V. Ball, Volker S. Brözel, Michael J. Carter and W. Ritter and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Sean Davison

36 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Davison South Africa 15 706 685 491 252 214 38 1.1k
Xian-Ying Meng Japan 10 1.1k 1.6× 267 0.4× 290 0.6× 93 0.4× 217 1.0× 11 1.3k
Humberto Boncristiani United States 16 1.3k 1.8× 1.0k 1.5× 1.1k 2.2× 47 0.2× 188 0.9× 25 1.4k
Yan Ping Chen United States 22 2.3k 3.2× 1.8k 2.6× 1.8k 3.7× 106 0.4× 270 1.3× 40 2.4k
Chung‐Hsiung Wang Taiwan 15 572 0.8× 253 0.4× 279 0.6× 189 0.8× 143 0.7× 30 744
Christopher F. Bosio United States 17 411 0.6× 312 0.5× 106 0.2× 266 1.1× 178 0.8× 26 1.1k
David Wragg United Kingdom 15 225 0.3× 517 0.8× 230 0.5× 117 0.5× 45 0.2× 35 730
S. L. Bilimoria United States 12 231 0.3× 178 0.3× 129 0.3× 228 0.9× 135 0.6× 25 502
Michele Hamilton United States 16 716 1.0× 529 0.8× 532 1.1× 47 0.2× 106 0.5× 18 779
Kazuya Nagai Japan 15 342 0.5× 74 0.1× 147 0.3× 184 0.7× 234 1.1× 65 751
Lise Roy France 16 467 0.7× 115 0.2× 477 1.0× 69 0.3× 81 0.4× 40 726

Countries citing papers authored by Sean Davison

Since Specialization
Citations

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

Fields of papers citing papers by Sean Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Davison

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Davison. A scholar is included among the top collaborators of Sean Davison 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 Sean Davison. Sean Davison 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.
Davison, Sean, et al.. (2015). Polymorphisms at 17 Y-STR loci in Botswana populations. Forensic Science International Genetics. 17. 47–52. 5 indexed citations
2.
D’Amato, María Eugenia, et al.. (2009). Characterization of the highly discriminatory loci DYS449, DYS481, DYS518, DYS612, DYS626, DYS644 and DYS710. Forensic Science International Genetics. 4(2). 104–110. 32 indexed citations
3.
D’Amato, María Eugenia, et al.. (2009). Analysis of seventeen Y-chromosome STR loci in the Cape Muslim population of South Africa. Legal Medicine. 12(1). 42–45. 8 indexed citations
4.
Davison, Sean, Mongi Benjeddou, & María Eugenia D’Amato. (2008). Molecular genetic identification of skeletal remains of apartheid activists in South Africa. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(25). 4750–4757. 2 indexed citations
5.
Benjeddou, Mongi, et al.. (2008). Nine-locus Y-STR profiles of Afrikaner Caucasian and mixed ancestry populations from Cape Town, South Africa. Legal Medicine. 10(4). 225–227. 3 indexed citations
6.
Benjeddou, Mongi, Neil Leat, & Sean Davison. (2006). Use of molecular genetics and historical records to reconstruct the history of local communities. AFRICAN JOURNAL OF BIOTECHNOLOGY. 5(25). 1 indexed citations
7.
Leat, Neil, et al.. (2006). Properties of novel and widely studied Y-STR loci in three South African populations. Forensic Science International. 168(2-3). 154–161. 22 indexed citations
8.
Davison, Sean, et al.. (2005). Detection of three honeybee viruses simultaneously by a single Multiplex Reverse Transcriptase PCR. AFRICAN JOURNAL OF BIOTECHNOLOGY. 4(8). 763–767. 20 indexed citations
9.
Khan, Sehaam, Burtram C. Fielding, & Sean Davison. (2004). Identification of three genes of Helicoverpa armigera single-enveloped nucleopolyhedrovirus and their application in determining HaSNPV-SA phylogeny : research letter. South African Journal of Science. 100. 301–305. 1 indexed citations
10.
Leat, Neil, et al.. (2004). Developments in the use of Y-chromosome markers in forensic genetics. AFRICAN JOURNAL OF BIOTECHNOLOGY. 3(12). 637–642. 6 indexed citations
11.
Leat, Neil, Mongi Benjeddou, & Sean Davison. (2004). Nine-locus Y-chromosome STR profiling of Caucasian and Xhosa populations from Cape Town, South Africa. Forensic Science International. 144(1). 73–75. 19 indexed citations
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14.
Fielding, Burtram C., et al.. (2002). The Genetic Organization of a 2,966 basepair DNA Fragment of a Single Capsid Nucleopolyhedrovirus Isolated from Trichoplusia ni. Virus Genes. 25(1). 35–43. 4 indexed citations
15.
Wang, Weizhou, Neil Leat, Burtram C. Fielding, & Sean Davison. (2001). Identification, Sequence Analysis, and Phylogeny of the Immediate Early Gene 1 of the trichoplusia ni Single Nucleocapsid Polyhedrosis Virus. Virus Genes. 23(1). 53–62. 4 indexed citations
16.
Grabensteiner, Elvira, W. Ritter, Michael J. Carter, et al.. (2001). Sacbrood Virus of the Honeybee ( Apis mellifera ): Rapid Identification and Phylogenetic Analysis Using Reverse Transcription-PCR. Clinical and Diagnostic Laboratory Immunology. 8(1). 93–104. 146 indexed citations
17.
Govan, Vandana A, Neil Leat, Michael H. Allsopp, & Sean Davison. (2000). Analysis of the Complete Genome Sequence of Acute Bee Paralysis Virus Shows That It Belongs to the Novel Group of Insect-Infecting RNA Viruses. Virology. 277(2). 457–463. 124 indexed citations
18.
Fielding, Burtram C. & Sean Davison. (2000). Identification and Characterization of the Trichoplusia ni Single Capsid Nuclear Polyhedrosis Virus p10 Gene. Virus Genes. 20(2). 189–192. 4 indexed citations
19.
Fielding, Burtram C. & Sean Davison. (1999). The Characterization and Phylogenetic Relationship of the Trichoplusia ni Single Capsid Nuclear Polyhedrosis Virus Polyhedrin Gene. Virus Genes. 19(1). 67–72. 11 indexed citations
20.
McMillan, Nigel A.J., Sean Davison, & J. Kalmakoff. (1990). Comparison of the genomes of two sympatric iridescent viruses (types 9 and 16). Archives of Virology. 114(3-4). 277–284. 5 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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