F. Miró

1.4k citations
33 papers · 1.3k · h-index 21

Impact in

Papers in

F. Miró

33 papers receiving 1.2k citations

Peers

F. Miró
Comparison fields: 5 of 67
  • Reproductive Medicine 672
  • Public Health, Environmental and Occupational Health 617
  • Endocrinology, Diabetes and Metabolism 137
  • Agronomy and Crop Science 91
  • Pediatrics, Perinatology and Child Health 97
Replace C D Smyth with:
C D Smyth United Kingdom
Susan A.J. Daniel Canada
P F Whitelaw United Kingdom
Stacie J. Weil United States
R.H. Asch United States
Kiyohiko Yamada Japan
Keith Gordon United States
Kazumichi Andoh Japan
V. Gabriel Garzo United States
G. F. Erickson United States
F. Miró relative to C D Smyth United Kingdom C D Smyth's profile →
Citations per field
00.5×1.5×1.9×
C D Smyth · 1×
Citations per year

Countries citing papers authored by F. Miró

Since Specialization
Citations

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

Fields of papers citing papers by F. Miró

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Miró, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Miró Line = papers co-authored together F. Miró links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995129
2 1991110
3 199698
4 198979
5 199374
6 199168
7 199366
8 198964
9 199258
10 199641
11 200941
12 199040
13 200437
14 200537
15 200432
16 199228
17 199327
18 200425
19 199125
20 199525

About F. Miró

F. Miró is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (16 papers), Reproductive Biology and Fertility (16 papers), TGF-β signaling in diseases (6 papers), Hypothalamic control of reproductive hormones (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Renal and related cancers (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Reproductive Medicine (672 citations), Public Health, Environmental and Occupational Health (617 citations), Endocrinology, Diabetes and Metabolism (137 citations), Agronomy and Crop Science (91 citations) and Pediatrics, Perinatology and Child Health (97 citations). F. Miró has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Stephen G. Hillier, C D Smyth, António Pellicer, Fernando Bonilla‐Musoles, Laurence Aspinall, Jayne E. Ellis, John Coley, Colin M. Howles, P F Whitelaw and Juan Balasch. Their work appears in journals such as Human Reproduction, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and Obstetrical & Gynecological Survey.

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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