M.T. Paramio

3.0k citations
92 papers · 2.3k indexed · h-index 30

Impact in

Papers in

M.T. Paramio

88 papers receiving 2.2k citations

Peers

M.T. Paramio
Comparison fields: 5 of 88
  • Reproductive Medicine 1.4k
  • Public Health, Environmental and Occupational Health 2.1k
  • Agronomy and Crop Science 381
  • Pediatrics, Perinatology and Child Health 283
  • Genetics 378
Replace D. Izquierdo with:
D. Izquierdo Spain
Luisa Bogliolo Italy
T. Mogas Spain
H. Torner Germany
P. Cetica Argentina
W. Kanitz Germany
M. Geshi Japan
Mayra Elena Ortiz D’Ávila Assumpção Brazil
Gabriel Dalvit Argentina
F. Dessy Belgium
M.T. Paramio relative to D. Izquierdo Spain D. Izquierdo's profile →
Citations per field
00.5×1.7×
D. Izquierdo · 1×
Citations per year

Countries citing papers authored by M.T. Paramio

Since Specialization
Citations

This map shows the geographic impact of M.T. Paramio'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.T. Paramio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Paramio more than expected).

Fields of papers citing papers by M.T. Paramio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.T. Paramio, 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 M.T. Paramio Line = papers co-authored together M.T. Paramio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 2008101
3 2002101
4 202096
5 201181
6 200370
7 201470
8 201660
9 200355
10 201051
11 201251
12 200751
13 200650
14 201050
15 199448
16 199548
17 199944
18 199944
19 199741
20 201839

About M.T. Paramio

M.T. Paramio is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology, Pediatrics, Perinatology and Child Health and Agronomy and Crop Science, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (90 papers), Sperm and Testicular Function (55 papers), Ovarian function and disorders (20 papers), Renal and related cancers (19 papers), Reproductive Health and Technologies (13 papers), Animal Genetics and Reproduction (13 papers), Reproductive Physiology in Livestock (10 papers) and Assisted Reproductive Technology and Twin Pregnancy (10 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Public Health, Environmental and Occupational Health (2.1k citations), Agronomy and Crop Science (381 citations), Pediatrics, Perinatology and Child Health (283 citations) and Genetics (378 citations). M.T. Paramio has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include D. Izquierdo, T. Mogas, Manel López‐Béjar, Roser Morató, Sandra Soto‐Heras, M.J. Palomo, M. G. Catalá, E. Velilla, M. Roura and B. Anguita. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Reproduction in Domestic Animals, Small Ruminant Research and Cryobiology.

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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