Margot L. Day

74 total papers · 1.6k total citations
51 papers, 1.3k citations indexed

About

Margot L. Day is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Margot L. Day has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Public Health, Environmental and Occupational Health and 13 papers in Immunology. Recurrent topics in Margot L. Day's work include Reproductive Biology and Fertility (22 papers), Reproductive System and Pregnancy (13 papers) and Pluripotent Stem Cells Research (11 papers). Margot L. Day is often cited by papers focused on Reproductive Biology and Fertility (22 papers), Reproductive System and Pregnancy (13 papers) and Pluripotent Stem Cells Research (11 papers). Margot L. Day collaborates with scholars based in Australia, United Kingdom and Ireland. Margot L. Day's co-authors include Martin H. Johnson, David I. Cook, Christopher R. Murphy, Yui Kaneko, Michael B. Morris, Susan J. Pickering, Cecil A. Gibb, Philip Poronnik, Anuwat Dinudom and Sharad Kumar and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Margot L. Day

51 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Margot L. Day 709 373 249 204 131 51 1.3k
Masahiko Takemura 463 0.7× 255 0.7× 345 1.4× 231 1.1× 176 1.3× 68 1.6k
Jean M. Marshall 479 0.7× 186 0.5× 146 0.6× 164 0.8× 285 2.2× 52 1.5k
Eiichi Takaki 1.1k 1.6× 195 0.5× 181 0.7× 190 0.9× 111 0.8× 33 1.8k
Tullio Barni 475 0.7× 271 0.7× 120 0.5× 546 2.7× 106 0.8× 66 1.6k
Churl K. Min 613 0.9× 251 0.7× 175 0.7× 324 1.6× 333 2.5× 43 1.3k
William C. Gorospe 328 0.5× 430 1.2× 378 1.5× 420 2.1× 73 0.6× 26 1.3k
Shuji Yamano 439 0.6× 443 1.2× 360 1.4× 483 2.4× 26 0.2× 59 1.3k
Agustı́n Aoki 505 0.7× 202 0.5× 141 0.6× 651 3.2× 98 0.7× 56 1.6k
Djurdjica Coss 686 1.0× 380 1.0× 191 0.8× 533 2.6× 51 0.4× 46 1.6k
Robert C. Fowkes 503 0.7× 106 0.3× 110 0.4× 234 1.1× 86 0.7× 74 1.6k

Countries citing papers authored by Margot L. Day

Since Specialization
Citations

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

Fields of papers citing papers by Margot L. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margot L. Day. 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 Margot L. Day. The network helps show where Margot L. Day may publish in the future.

Co-authorship network of co-authors of Margot L. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Margot L. Day. A scholar is included among the top collaborators of Margot L. Day 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 Margot L. Day. Margot L. Day 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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