Ian R. Franklin

2.2k total citations
25 papers, 1.1k citations indexed

About

Ian R. Franklin is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Ian R. Franklin has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Ian R. Franklin's work include Genetic and phenotypic traits in livestock (7 papers), Evolution and Genetic Dynamics (7 papers) and Genetic diversity and population structure (5 papers). Ian R. Franklin is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Evolution and Genetic Dynamics (7 papers) and Genetic diversity and population structure (5 papers). Ian R. Franklin collaborates with scholars based in Australia, United States and New Zealand. Ian R. Franklin's co-authors include Richard Frankham, Richard C Lewontin, I. W. Purvis, Marcus W. Feldman, Glenys Thomson, Alexander Sokoloff, B. L. Sheldon, Fred W. Allendorf, Ian G. Jamieson and R.D. Brock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Biological Conservation.

In The Last Decade

Ian R. Franklin

25 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian R. Franklin Australia 14 743 219 200 176 166 25 1.1k
B. D. H. Latter Australia 20 995 1.3× 185 0.8× 169 0.8× 336 1.9× 259 1.6× 53 1.4k
H A Orr United States 10 1.2k 1.6× 166 0.8× 399 2.0× 569 3.2× 295 1.8× 12 1.5k
S Best United Kingdom 4 736 1.0× 323 1.5× 277 1.4× 261 1.5× 163 1.0× 4 1.2k
Orlando Cuéllar United States 19 747 1.0× 184 0.8× 119 0.6× 516 2.9× 131 0.8× 39 1.2k
Yu-Ping Poh United States 9 752 1.0× 118 0.5× 413 2.1× 187 1.1× 181 1.1× 11 1.1k
Stephen H. Forbes United States 16 900 1.2× 568 2.6× 204 1.0× 200 1.1× 63 0.4× 24 1.3k
Philippa C. Griffin Australia 15 409 0.6× 228 1.0× 189 0.9× 262 1.5× 179 1.1× 24 868
Konrad Lohse United Kingdom 19 683 0.9× 181 0.8× 266 1.3× 460 2.6× 154 0.9× 43 1.0k
Stephan Peischl Switzerland 15 817 1.1× 162 0.7× 183 0.9× 245 1.4× 113 0.7× 34 1.0k
Esko Suomalainen Finland 16 661 0.9× 167 0.8× 157 0.8× 627 3.6× 218 1.3× 39 1.1k

Countries citing papers authored by Ian R. Franklin

Since Specialization
Citations

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

Fields of papers citing papers by Ian R. Franklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian R. Franklin. 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 Ian R. Franklin. The network helps show where Ian R. Franklin may publish in the future.

Co-authorship network of co-authors of Ian R. Franklin

This figure shows the co-authorship network connecting the top 25 collaborators of Ian R. Franklin. A scholar is included among the top collaborators of Ian R. Franklin 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 Ian R. Franklin. Ian R. Franklin 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.
Al-Atiyat, Raed M., et al.. (2016). Microsatellite-based genetic variation and differentiation of selected Australian Merino sheep flocks. Small Ruminant Research. 136. 137–144. 5 indexed citations
2.
Franklin, Ian R., Fred W. Allendorf, & Ian G. Jamieson. (2014). The 50/500 rule is still valid – Reply to Frankham et al.. Biological Conservation. 176. 284–285. 39 indexed citations
3.
Purvis, I. W. & Ian R. Franklin. (2005). Major genes and QTL influencing wool production and quality: a review. Genetics Selection Evolution. 37(S1). S97–107. 66 indexed citations
4.
DeSilva, Udaya, et al.. (2003). Systematic screening of sheep skin cDNA libraries for microsatellite sequences. Cytogenetic and Genome Research. 102(1-4). 79–84. 3 indexed citations
5.
Adelson, David L., Graham R. Cam, Udaya DeSilva, & Ian R. Franklin. (2003). Gene expression in sheep skin and wool (hair). Genomics. 83(1). 95–105. 18 indexed citations
6.
Al-Atiyat, Raed M., et al.. (2002). Microsatellite variation and population genetic structure of selected Merino sheep flocks.. 0–4. 1 indexed citations
7.
Franklin, Ian R. & Richard Frankham. (1998). How large must populations be to retain evolutionary potential?. Animal Conservation. 1(1). 69–70. 13 indexed citations
8.
Frankham, Richard & Ian R. Franklin. (1998). Response to Lynch and Lande. Animal Conservation. 1(1). 73–73. 8 indexed citations
9.
Franklin, Ian R. & Richard Frankham. (1998). How large must populations be to retain evolutionary potential?. Animal Conservation. 1(1). 69–70. 311 indexed citations
10.
Franklin, Ian R., et al.. (1997). DNA pedigreeing of commercial sheep flocks.. 2 indexed citations
11.
Nordborg, Magnus, Ian R. Franklin, & Marcus W. Feldman. (1995). Effects of Cis-Trans Viability Selection on Some Two-Locus Models. Theoretical Population Biology. 47(3). 365–392. 4 indexed citations
12.
Franklin, Ian R., et al.. (1994). Decline in heterozygosity under full-sib and double first-cousin inbreeding in Drosophila melanogaster.. Genetics. 136(3). 1039–1049. 61 indexed citations
13.
Franklin, Ian R.. (1977). The distribution of the proportion of the genome which is homozygous by descent in inbred individuals. Theoretical Population Biology. 11(1). 60–80. 82 indexed citations
14.
Franklin, Ian R. & Marcus W. Feldman. (1977). Two loci with two alleles: Linkage equilibrium and linkage disequilibrium can be simultaneously stable. Theoretical Population Biology. 12(1). 95–113. 14 indexed citations
15.
Feldman, Marcus W., Richard C Lewontin, Ian R. Franklin, & F. Christiansen. (1975). SELECTION IN COMPLEX GENETIC SYSTEMS III. AN EFFECT OF ALLELE MULTIPLICITY WITH TWO LOCI. Genetics. 79(2). 333–347. 13 indexed citations
16.
Feldman, Marcus W., Ian R. Franklin, & Glenys Thomson. (1974). SELECTION IN COMPLEX GENETIC SYSTEMS I. THE SYMMETRIC EQUILIBRIA OF THE THREE-LOCUS SYMMETRIC VIABILITY MODEL. Genetics. 76(1). 135–162. 60 indexed citations
17.
Franklin, Ian R.. (1970). AVERAGE RECOMBINATION FREQUENCIES. Genetics. 66(4). 709–711. 6 indexed citations
18.
Franklin, Ian R.. (1967). THE ESTIMATION OF LINKAGE IN AUTOTETRAPLOIDS FROM SINGLE BACKCROSS DATA. Genetics. 55(3). 591–605. 2 indexed citations
19.
Sokoloff, Alexander, et al.. (1966). Comparative studies with Tribolium (Coleoptera, Tenebrionidae)—I: Productivity of T. castaneum (Herbst) and T. confusum Duv. on several commercially-available diets. Journal of Stored Products Research. 1(4). 295–311. 45 indexed citations
20.
Brock, R.D. & Ian R. Franklin. (1966). The effect of desiccation, storage and radiation intensity on mutation rate in tomato pollen. Radiation Botany. 6(2). 171–179. 15 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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