M. Soller

10.8k total citations
169 papers, 7.8k citations indexed

About

M. Soller is a scholar working on Genetics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, M. Soller has authored 169 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Genetics, 53 papers in Plant Science and 35 papers in Animal Science and Zoology. Recurrent topics in M. Soller's work include Genetic Mapping and Diversity in Plants and Animals (93 papers), Genetic and phenotypic traits in livestock (84 papers) and Animal Nutrition and Physiology (29 papers). M. Soller is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (93 papers), Genetic and phenotypic traits in livestock (84 papers) and Animal Nutrition and Physiology (29 papers). M. Soller collaborates with scholars based in Israel, United States and United Kingdom. M. Soller's co-authors include Ariel Darvasi, J. Beckmann, Yechezkel Kashi, J.I. Weller, David G. King, A. Genizi, E. Lipkin, Thomas Brody, Y. Eitan and A. Friedmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

M. Soller

166 papers receiving 7.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Soller Israel 41 5.4k 3.2k 1.8k 969 556 169 7.8k
Ruedi Fries Germany 49 6.4k 1.2× 1.8k 0.6× 3.1k 1.7× 948 1.0× 894 1.6× 232 9.2k
James E. Womack United States 48 5.2k 1.0× 1.8k 0.6× 3.2k 1.8× 389 0.4× 833 1.5× 325 8.6k
Robert D. Schnabel United States 43 6.2k 1.2× 1.9k 0.6× 1.5k 0.8× 749 0.8× 1.3k 2.3× 126 7.8k
Sara Knott United Kingdom 28 5.0k 0.9× 2.6k 0.8× 868 0.5× 714 0.7× 208 0.4× 89 5.9k
J. W. Keele United States 43 5.2k 1.0× 1.2k 0.4× 2.0k 1.1× 1.4k 1.4× 786 1.4× 134 7.0k
Örjan Carlborg Sweden 39 4.6k 0.9× 1.4k 0.4× 1.6k 0.9× 1.4k 1.4× 243 0.4× 109 6.4k
Alan Archibald United Kingdom 48 4.9k 0.9× 893 0.3× 3.1k 1.7× 1.5k 1.5× 671 1.2× 214 7.9k
Paolo Ajmone‐Marsan Italy 43 4.6k 0.9× 1.3k 0.4× 1.4k 0.8× 862 0.9× 1.2k 2.1× 200 6.4k
Martien A. M. Groenen Netherlands 64 9.8k 1.8× 2.6k 0.8× 3.8k 2.1× 3.1k 3.2× 636 1.1× 334 13.4k
Merete Fredholm Denmark 40 3.4k 0.6× 769 0.2× 2.3k 1.3× 713 0.7× 226 0.4× 204 6.6k

Countries citing papers authored by M. Soller

Since Specialization
Citations

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

Fields of papers citing papers by M. Soller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Soller

This figure shows the co-authorship network connecting the top 25 collaborators of M. Soller. A scholar is included among the top collaborators of M. Soller 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 M. Soller. M. Soller 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.
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Kimwele, Charles, Stephen J. Kemp, Abraham B. Korol, et al.. (2011). Expression of trypanotolerance in N’Dama x Boran crosses under field challenge in relation to N’Dama genome content. BMC Proceedings. 5(S4). S23–S23. 5 indexed citations
3.
Cheng, Hans H., Masahiro Niikura, Weifeng Mao, et al.. (2008). Using Integrative Genomics to Elucidate Genetic Resistance to Marek’s Disease in Chickens. PubMed. 132. 365–372. 12 indexed citations
4.
Bagnato, A., F. Schiavini, A. Rossoni, et al.. (2008). Quantitative Trait Loci Affecting Milk Yield and Protein Percentage in a Three-Country Brown Swiss Population. Journal of Dairy Science. 91(2). 767–783. 65 indexed citations
5.
Fontanesi, Luca, Vincenzo Russo, E. Scotti, et al.. (2006). Analysis of bovine chromosome 20 for QTL affecting milk production and reproductive traits applying a selective milk DNA pooling strategy in the Italian Holstein population.. 2 indexed citations
6.
Hanotte, Olivier, Yefim Ronin, Morris Agaba, et al.. (2003). Mapping of quantitative trait loci controlling trypanotolerance in a cross of tolerant West African N'Dama and susceptible East African Boran cattle. Proceedings of the National Academy of Sciences. 100(13). 7443–7448. 145 indexed citations
7.
Lipkin, E., et al.. (2002). QTL affecting milk protein percent also affect milk yield and protein yield.. 0–4. 3 indexed citations
8.
9.
Teale, A.J., Morris Agaba, A. Gelhaus, et al.. (1999). Resistance to trypanosomosis: of markers, genes and mechanisms. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 42. 36–41. 3 indexed citations
10.
Szabó, Gyula, Géza Dallmann, Géza Müller, et al.. (1998). A deletion in the myostatin gene causes the compact ( Cmpt ) hypermuscular mutation in mice. Mammalian Genome. 9(8). 671–671. 125 indexed citations
11.
Kashi, Yechezkel, David G. King, & M. Soller. (1997). Simple sequence repeats as a source of quantitative genetic variation. Trends in Genetics. 13(2). 74–78. 367 indexed citations
12.
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Darvasi, Ariel, et al.. (1993). Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map.. Genetics. 134(3). 943–951. 381 indexed citations
14.
Hallerman, Eric M., et al.. (1988). Screening of Israeli Holstein-Friesian Cattle for Restriction Fragment Length Polymorphisms Using Homologous and Heterologous Deoxyribonucleic Acid Probes. Journal of Dairy Science. 71(12). 3378–3389. 10 indexed citations
15.
Soller, M. & J. Beckmann. (1987). Cloning quantitative trait loci by insertional mutagenesis. Theoretical and Applied Genetics. 74(3). 369–378. 12 indexed citations
16.
Soller, M. & J. Beckmann. (1983). Genetic polymorphism in varietal identification and genetic improvement. Theoretical and Applied Genetics. 67(1). 25–33. 277 indexed citations
17.
Soller, M., Thomas Brody, & A. Genizi. (1976). On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines. Theoretical and Applied Genetics. 47(1). 35–39. 250 indexed citations
18.
Padeh, B, M. Wysoki, & M. Soller. (1971). Further studies on a Robertsonian translocation in the Saanen dairy goat. Cytogenetic and Genome Research. 10(1). 61–69. 15 indexed citations
19.
Soller, M., et al.. (1969). Cytogenetics of Saanen goats showing abnormal development of the reproductive tract associated with the dominant gene for polledness. Cytogenetic and Genome Research. 8(1). 51–67. 63 indexed citations
20.
Soller, M. & R. Bar-Anan. (1964). A note on milk production in crosses between dutch and American strains of Friesian dairy cattle. Animal Science. 6(1). 125–126. 2 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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