M. G. Daker

41 total papers · 1.4k total citations
28 papers, 538 citations indexed

About

M. G. Daker is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, M. G. Daker has authored 28 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Plant Science and 9 papers in Molecular Biology. Recurrent topics in M. G. Daker's work include Chromosomal and Genetic Variations (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Prenatal Screening and Diagnostics (4 papers). M. G. Daker is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Prenatal Screening and Diagnostics (4 papers). M. G. Daker collaborates with scholars based in United Kingdom, Canada and Hungary. M. G. Daker's co-authors include Valerie Beral, Sheila Youings, Eva Alberman, C Hermon, P. A. Jacobs, Anthony J. Swerdlow, Alison Fordyce, David Mutton, P. E. Polani and Boleslaw Goldman and has published in prestigious journals such as Nature, Human Molecular Genetics and British Journal of Dermatology.

In The Last Decade

M. G. Daker

28 papers receiving 498 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. G. Daker	333	226	113	82	48	28	538
Sandra Monfort	362 1.1×	262 1.2×	50 0.4×	93 1.1×	49 1.0×	41	523
Hubert C. Soltan	381 1.1×	189 0.8×	39 0.3×	92 1.1×	30 0.6×	27	599
Susan Zeesman	284 0.9×	315 1.4×	22 0.2×	77 0.9×	21 0.4×	19	608
Frédéric Torès	208 0.6×	259 1.1×	37 0.3×	24 0.3×	16 0.3×	22	477
Berta Santesson	193 0.6×	174 0.8×	91 0.8×	86 1.0×	12 0.3×	24	452
Elisabeth A. Keitges	441 1.3×	249 1.1×	105 0.9×	85 1.0×	35 0.7×	13	531
Christian Trolle	364 1.1×	283 1.3×	23 0.2×	36 0.4×	81 1.7×	33	615
Boyan Dimitrov	257 0.8×	231 1.0×	97 0.9×	80 1.0×	12 0.3×	32	471
Paolo Guanciali Franchi	298 0.9×	220 1.0×	71 0.6×	80 1.0×	98 2.0×	31	484
Marjolaine Willems	154 0.5×	202 0.9×	61 0.5×	48 0.6×	9 0.2×	39	524

Countries citing papers authored by M. G. Daker

Since Specialization

Citations

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

Fields of papers citing papers by M. G. Daker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. G. Daker

This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Daker. A scholar is included among the top collaborators of M. G. Daker 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. G. Daker. M. G. Daker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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