J A Sved

4.9k total citations · 2 hit papers
73 papers, 3.8k citations indexed

About

J A Sved is a scholar working on Genetics, Molecular Biology and Insect Science. According to data from OpenAlex, J A Sved has authored 73 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 27 papers in Molecular Biology and 25 papers in Insect Science. Recurrent topics in J A Sved's work include Insect behavior and control techniques (21 papers), Evolution and Genetic Dynamics (19 papers) and Chromosomal and Genetic Variations (17 papers). J A Sved is often cited by papers focused on Insect behavior and control techniques (21 papers), Evolution and Genetic Dynamics (19 papers) and Chromosomal and Genetic Variations (17 papers). J A Sved collaborates with scholars based in Australia, United States and Canada. J A Sved's co-authors include Margaret G. Kidwell, J. F. Kidwell, William R. Engels, Adrian Bird, William B. Eggleston, Dena M. Johnson-Schlitz, Marianne Frommer, A. S. Gilchrist, Marcus W. Feldman and Walter F. Bodmer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

J A Sved

73 papers receiving 3.6k citations

Hit Papers

HYBRID DYSGENESIS IN DROSOPHILA MELANOGASTER: A SYNDROME ... 1971 2026 1989 2007 1977 1971 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J A Sved Australia 30 1.8k 1.8k 1.5k 670 420 73 3.8k
Kevin Thornton United States 34 2.9k 1.6× 1.9k 1.1× 1.1k 0.8× 332 0.5× 540 1.3× 56 4.4k
Walther Traut Germany 33 1.8k 1.0× 1.4k 0.8× 1.2k 0.8× 979 1.5× 623 1.5× 109 3.1k
Esther Betrán United States 23 1.5k 0.8× 2.0k 1.1× 1.4k 0.9× 241 0.4× 313 0.7× 44 3.0k
Terumi Mukai Japan 27 2.1k 1.1× 1.0k 0.6× 904 0.6× 406 0.6× 541 1.3× 93 2.9k
J. J. Emerson United States 23 1.3k 0.7× 1.4k 0.8× 1.1k 0.7× 375 0.6× 329 0.8× 31 2.5k
Richard Cordaux France 33 1.0k 0.5× 1.8k 1.0× 1.6k 1.1× 912 1.4× 161 0.4× 73 3.4k
Daniel A. Barbash United States 27 1.4k 0.8× 1.7k 1.0× 1.4k 0.9× 285 0.4× 415 1.0× 58 2.8k
Daven C. Presgraves United States 35 3.2k 1.8× 1.5k 0.9× 1.1k 0.7× 645 1.0× 1.6k 3.8× 58 4.7k
Qiye Li China 24 1.4k 0.7× 1.6k 0.9× 707 0.5× 387 0.6× 515 1.2× 49 3.0k
David Fitch United States 31 811 0.4× 1.2k 0.7× 769 0.5× 338 0.5× 203 0.5× 56 2.7k

Countries citing papers authored by J A Sved

Since Specialization
Citations

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

Fields of papers citing papers by J A Sved

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J A Sved

This figure shows the co-authorship network connecting the top 25 collaborators of J A Sved. A scholar is included among the top collaborators of J A Sved 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 J A Sved. J A Sved 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.
Yeap, Heng Lin, Siu Fai Lee, Roslyn G. Mourant, et al.. (2020). Separating two tightly linked species-defining phenotypes in Bactrocera with hybrid recombinant analysis. BMC Genetics. 21(S2). 132–132. 8 indexed citations
2.
Gilchrist, A. S., D. C. A. Shearman, Marianne Frommer, et al.. (2014). The draft genome of the pest tephritid fruit fly Bactrocera tryoni: resources for the genomic analysis of hybridising species. BMC Genomics. 15(1). 1153–1153. 43 indexed citations
3.
Sved, J A, Emilie Cameron, & A. S. Gilchrist. (2013). Estimating Effective Population Size from Linkage Disequilibrium between Unlinked Loci: Theory and Application to Fruit Fly Outbreak Populations. PLoS ONE. 8(7). e69078–e69078. 39 indexed citations
4.
Sved, J A, et al.. (2009). Properties of re-arranged P elements in Drosophila melanogaster. Heredity. 102(4). 342–348. 1 indexed citations
5.
Sved, J A. (2009). Linkage Disequilibrium and Its Expectation in Human Populations. Twin Research and Human Genetics. 12(1). 35–43. 9 indexed citations
6.
Sved, J A, Allan F. McRae, & Peter M. Visscher. (2008). Divergence between Human Populations Estimated from Linkage Disequilibrium. The American Journal of Human Genetics. 83(6). 737–743. 30 indexed citations
7.
Sved, J A, et al.. (2008). Repair of P element ends following hybrid element excision leads to recombination in Drosophila melanogaster. Heredity. 102(2). 127–132. 2 indexed citations
8.
Yu, Hongrun, et al.. (2001). Microsatellite analysis of the Queensland fruit fly Bactrocera tryoni (Diptera: Tephritidae) indicates spatial structuring: implications for population control. Bulletin of Entomological Research. 91(2). 139–147. 41 indexed citations
9.
Morrow, Jennifer L., Leon J Scott, Bradley C. Congdon, et al.. (2000). CLOSE GENETIC SIMILARITY BETWEEN TWO SYMPATRIC SPECIES OF TEPHRITID FRUIT FLY REPRODUCTIVELY ISOLATED BY MATING TIME. Evolution. 54(3). 899–910. 49 indexed citations
10.
Frommer, Marianne, et al.. (1998). Mitochondrial Control-Region Sequence Variation in Aboriginal Australians. The American Journal of Human Genetics. 62(2). 435–449. 62 indexed citations
11.
Sved, J A, et al.. (1998). Structure and associated mutational effects of the cysteine proteinase (CP1) gene of Drosophila melanogaster. Insect Molecular Biology. 7(3). 291–293. 18 indexed citations
12.
Bariana, H. S., et al.. (1998). Polymorphic microsatellite markers for population analysis of a tephritid pest species, Bactrocera tryoni. Molecular Ecology. 7(11). 1489–1495. 36 indexed citations
13.
Frommer, Marianne, et al.. (1997). Mitochondrial D‐loop diversity in Australian riverine and Australian desert aborigines. Electrophoresis. 18(9). 1538–1543. 13 indexed citations
14.
Tanaka, Mark M., et al.. (1996). P-Element-Induced Recombination in Drosophila melanogaster: Hybrid Element Insertion. Genetics. 144(4). 1601–1610. 56 indexed citations
15.
Latter, B. D. H. & J A Sved. (1994). A reevaluation of data from competitive tests shows high levels of heterosis in Drosophila melanogaster.. Genetics. 137(2). 509–511. 28 indexed citations
16.
Sved, J A, Leila M. Blackman, A. S. Gilchrist, & William R. Engels. (1991). High levels of recombination induced by homologous P elements in Drosophila melanogaster. Molecular and General Genetics MGG. 225(3). 443–447. 24 indexed citations
17.
Sved, J A, William B. Eggleston, & William R. Engels. (1990). Germ-line and somatic recombination induced by in vitro modified P elements in Drosophila melanogaster.. Genetics. 124(2). 331–337. 29 indexed citations
18.
Sved, J A. (1986). Limits on the number of loci in the genome. Trends in Genetics. 2. 8–8. 3 indexed citations
19.
Sved, J A. (1983). DOES NATURAL SELECTION INCREASE OR DECREASE VARIABILITY AT LINKED LOCI. Genetics. 105(1). 239–240. 5 indexed citations
20.
Sved, J A & Francisco J. Ayala. (1970). A POPULATION CAGE TEST FOR HETEROSIS IN DROSOPHILA PSEUDOOBSCURA . Genetics. 66(1). 97–113. 85 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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