Lorena Padilla

626 citations
25 papers · 433 indexed · h-index 13

Impact in

Papers in

Lorena Padilla

23 papers receiving 430 citations

Peers

Lorena Padilla
Comparison fields: 5 of 68
  • Reproductive Medicine 235
  • Agronomy and Crop Science 59
  • Physiology 25
  • Public Health, Environmental and Occupational Health 160
  • Immunology 77
Replace Mohammad Atikuzzaman with:
Mohammad Atikuzzaman South Korea
C.R.F. Pinto United States
Cristina A. Martínez Spain
Beatriz Fernández-Fuertes Spain
L Veselský Czechia
Bart Leemans Belgium
Tetsuji Okazaki Japan
João Francisco Coelho de Oliveira Brazil
Parviz Tajik Iran
M B O'Day-Bowman United States
Lorena Padilla relative to Mohammad Atikuzzaman South Korea Mohammad Atikuzzaman's profile →
Citations per field
00.5×4.4×
Mohammad Atikuzzaman · 1×
Citations per year

Countries citing papers authored by Lorena Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 20242
5 202324
6 202113
7 202148
8 20214
9 202010
10 202012
11 20207
12 202014
13 20204
14 20209
15 202020
16 20202
17 201937
18 201924
19 201941
20 201922

About Lorena Padilla

Lorena Padilla is a scholar working on Reproductive Medicine, Equine, Small Animals, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 433 indexed citations. Recurring topics across this work include Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (6 papers), Extracellular vesicles in disease (4 papers), Reproductive Physiology in Livestock (4 papers), Hormonal and reproductive studies (4 papers), Reproductive System and Pregnancy (4 papers), Ovarian function and disorders (3 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Reproductive Medicine (235 citations), Agronomy and Crop Science (59 citations), Physiology (25 citations), Public Health, Environmental and Occupational Health (160 citations) and Immunology (77 citations). Lorena Padilla has collaborated with scholars based in Spain, Sweden and Italy. Frequent co-authors include Jordi Roca, Heriberto Rodríguez‐Martínez, Isabel Barranco, Inmaculada Parrilla, Emilio A. Martı́nez, Cristina Pérez‐Patiño, Xiomara Lucas, Junwei Li, Alberto Álvarez and Fernando J. Peña. Their work appears in journals such as Scientific Reports, Animals, Theriogenology, Frontiers in Veterinary Science and Biology.

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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