R. Margara

4.6k total citations
59 papers, 3.5k citations indexed

About

R. Margara is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, R. Margara has authored 59 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Reproductive Medicine, 37 papers in Public Health, Environmental and Occupational Health and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in R. Margara's work include Ovarian function and disorders (34 papers), Reproductive Biology and Fertility (30 papers) and Assisted Reproductive Technology and Twin Pregnancy (9 papers). R. Margara is often cited by papers focused on Ovarian function and disorders (34 papers), Reproductive Biology and Fertility (30 papers) and Assisted Reproductive Technology and Twin Pregnancy (9 papers). R. Margara collaborates with scholars based in United Kingdom, Greece and United States. R. Margara's co-authors include Robert Winston, Geoffrey Trew, Stephen Franks, Amir Lass, Kate Hardy, S Stubbs, Lisa Webber, R.M.L. Winston, René Silye and H.D. Mason and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

R. Margara

58 papers receiving 3.3k citations

Peers

R. Margara
Comparison fields: 5 of 94
  • Public Health, Environmental and Occupational Health 2.5k
  • Reproductive Medicine 2.5k
  • Pediatrics, Perinatology and Child Health 592
  • Molecular Biology 539
  • Immunology 393
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Citations per field, relative to R. Margara
R. Margara · 1×
Citations per year, relative to R. Margara
R. Margara · 1×

Countries citing papers authored by R. Margara

Since Specialization
Citations

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

Fields of papers citing papers by R. Margara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Margara

This figure shows the co-authorship network connecting the top 25 collaborators of R. Margara. A scholar is included among the top collaborators of R. Margara 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 R. Margara. R. Margara 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
# Work Indexed citations
1 2
2 23
3 16
4 3
5 44
6
The effect of insulin-like growth factor I (IGF-I) on initiation of follicle growth in normal and polycystic ovaries in vitro
0
7 2
8
Resistance to insulin-dependent glucose metabolism in human granulosa-luteal cells from anovulatory women with polycystic ovaries
1
9
Expression of mRNA for IGF-1, IGF-2, type 1-IGF receptor, type 2-IGF receptor and insulin receptor in isolated, human preantral follicles
1
10 24
11 11
12 206
13 27
14 181
15 83
16 49
17 22
18 25
19 54
20 34

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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